master's thesis length uk

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• Thesis Format

Format of thesis and Binding

• Title page – including the thesis title, the student's full name and the degree for which it is submitted
• Abstract - of up to 5,000 words
• Table of contents – including any material not bound in the book, and a list of tables, photographs and any other materials

Word limits

• PhD - not to exceed 100,000 words
• MPhil - not to exceed 60,000 words
• MD(Res) - not to exceed 50,000 words
• MPhilStud - not to exceed 30,000 words
• Professional Doctorates - at least 25,000 words and not to exceed 55,000 words

Thesis word limit inclusions and exclusions The thesis word count includes everything from the start of chapter 1 up to the end of the last chapter. This means: Including all words included within:

• Footnotes/Endnotes
• Table/figure legends
• Tables of contents/of figures/of tables/ of acronyms
• Acknowledgements/dedications
• References/Bibliography
• 'Editions of texts (except where the edition or editions themselves constitute the thesis under examination)'
• Students are only required to submit an electronic thesis for their examiners, in PDF format, this should be emailed to [email protected] no later than your deadline
• If examiners have requested a printed copy  a member of the Research Degrees Examinations team will get in touch with you
• Margins - as we no longer require printed copies of the thesis, the margin edge is at the student's discretion, however bear in mind if  examiners prefer a printed copy then it may need to be spiral bound
• Spacing - Double or 1.5 spacing (except for indented quotations or footnotes which can be single spaced)
• Font size - It is recommended to use font size 12 to ensure examiners are able to read it
• Page numbering - All pages must be numbered in one continuous sequence, i.e. from the title page of the first volume to the last page of type, from 1 onwards. This sequence must include everything in the volume, including maps, diagrams, blank pages, etc.

Illustrative materials -  May include: audio recordings and photographic slides, these can be emailed to  [email protected]

• Additional material - Any material which cannot be included in the PDF thesis maybe emailed separately to the [email protected]  

Some examiners may prefer to work from a printed version of the student's thesis rather than the PDF, if this is the case:

• The Research Degrees Examinations team will in the first instance check with the examiner if they would be happy to print the thesis themselves. If the examiner is happy to do this and is able to, they can claim back the expenses following the examination
• If the examiner is unable to print the thesis, the Research Degrees Examinations team will contact the student to make arrangements for a print version to be posted directly to the examiner(s) or via a binders
• It is the students' responsibility to get their thesis printed and bound if examiners require a copy. Students may only claim back postage costs.

PRINT COPIES MUST NOT BE POSTED PRIOR TO OFFICIAL DISPATCH BY THE RESEARCH DEGREES EXAMINATION TEAM

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Frequently asked questions

How long is a dissertation.

Dissertation word counts vary widely across different fields, institutions, and levels of education:

• An undergraduate dissertation is typically 8,000–15,000 words
• A master’s dissertation is typically 12,000–50,000 words
• A PhD thesis is typically book-length: 70,000–100,000 words

However, none of these are strict guidelines – your word count may be lower or higher than the numbers stated here. Always check the guidelines provided by your university to determine how long your own dissertation should be.

Frequently asked questions: Knowledge Base

Methodology refers to the overarching strategy and rationale of your research. Developing your methodology involves studying the research methods used in your field and the theories or principles that underpin them, in order to choose the approach that best matches your objectives.

Methods are the specific tools and procedures you use to collect and analyse data (e.g. interviews, experiments , surveys , statistical tests ).

In a dissertation or scientific paper, the methodology chapter or methods section comes after the introduction and before the results , discussion and conclusion .

Depending on the length and type of document, you might also include a literature review or theoretical framework before the methodology.

Quantitative research deals with numbers and statistics, while qualitative research deals with words and meanings.

Quantitative methods allow you to test a hypothesis by systematically collecting and analysing data, while qualitative methods allow you to explore ideas and experiences in depth.

Reliability and validity are both about how well a method measures something:

• Reliability refers to the  consistency of a measure (whether the results can be reproduced under the same conditions).
• Validity   refers to the  accuracy of a measure (whether the results really do represent what they are supposed to measure).

If you are doing experimental research , you also have to consider the internal and external validity of your experiment.

A sample is a subset of individuals from a larger population. Sampling means selecting the group that you will actually collect data from in your research.

For example, if you are researching the opinions of students in your university, you could survey a sample of 100 students.

Statistical sampling allows you to test a hypothesis about the characteristics of a population. There are various sampling methods you can use to ensure that your sample is representative of the population as a whole.

There are several reasons to conduct a literature review at the beginning of a research project:

• To familiarise yourself with the current state of knowledge on your topic
• To ensure that you’re not just repeating what others have already done
• To identify gaps in knowledge and unresolved problems that your research can address
• To develop your theoretical framework and methodology
• To provide an overview of the key findings and debates on the topic

Writing the literature review shows your reader how your work relates to existing research and what new insights it will contribute.

A literature review is a survey of scholarly sources (such as books, journal articles, and theses) related to a specific topic or research question .

It is often written as part of a dissertation , thesis, research paper , or proposal .

The literature review usually comes near the beginning of your  dissertation . After the introduction , it grounds your research in a scholarly field and leads directly to your theoretical framework or methodology .

Harvard referencing uses an author–date system. Sources are cited by the author’s last name and the publication year in brackets. Each Harvard in-text citation corresponds to an entry in the alphabetised reference list at the end of the paper.

Vancouver referencing uses a numerical system. Sources are cited by a number in parentheses or superscript. Each number corresponds to a full reference at the end of the paper.

A Harvard in-text citation should appear in brackets every time you quote, paraphrase, or refer to information from a source.

The citation can appear immediately after the quotation or paraphrase, or at the end of the sentence. If you’re quoting, place the citation outside of the quotation marks but before any other punctuation like a comma or full stop.

In Harvard referencing, up to three author names are included in an in-text citation or reference list entry. When there are four or more authors, include only the first, followed by ‘ et al. ’

A bibliography should always contain every source you cited in your text. Sometimes a bibliography also contains other sources that you used in your research, but did not cite in the text.

MHRA doesn’t specify a rule about this, so check with your supervisor to find out exactly what should be included in your bibliography.

Footnote numbers should appear in superscript (e.g. 11 ). You can use the ‘Insert footnote’ button in Word to do this automatically; it’s in the ‘References’ tab at the top.

Footnotes always appear after the quote or paraphrase they relate to. MHRA generally recommends placing footnote numbers at the end of the sentence, immediately after any closing punctuation, like this. 12

In situations where this might be awkward or misleading, such as a long sentence containing multiple quotations, footnotes can also be placed at the end of a clause mid-sentence, like this; 13 note that they still come after any punctuation.

When a source has two or three authors, name all of them in your MHRA references . When there are four or more, use only the first name, followed by ‘and others’:

Note that in the bibliography, only the author listed first has their name inverted. The names of additional authors and those of translators or editors are written normally.

A citation should appear wherever you use information or ideas from a source, whether by quoting or paraphrasing its content.

In Vancouver style , you have some flexibility about where the citation number appears in the sentence – usually directly after mentioning the author’s name is best, but simply placing it at the end of the sentence is an acceptable alternative, as long as it’s clear what it relates to.

In Vancouver style , when you refer to a source with multiple authors in your text, you should only name the first author followed by ‘et al.’. This applies even when there are only two authors.

In your reference list, include up to six authors. For sources with seven or more authors, list the first six followed by ‘et al.’.

The words ‘ dissertation ’ and ‘thesis’ both refer to a large written research project undertaken to complete a degree, but they are used differently depending on the country:

• In the UK, you write a dissertation at the end of a bachelor’s or master’s degree, and you write a thesis to complete a PhD.
• In the US, it’s the other way around: you may write a thesis at the end of a bachelor’s or master’s degree, and you write a dissertation to complete a PhD.

The main difference is in terms of scale – a dissertation is usually much longer than the other essays you complete during your degree.

Another key difference is that you are given much more independence when working on a dissertation. You choose your own dissertation topic , and you have to conduct the research and write the dissertation yourself (with some assistance from your supervisor).

At the bachelor’s and master’s levels, the dissertation is usually the main focus of your final year. You might work on it (alongside other classes) for the entirety of the final year, or for the last six months. This includes formulating an idea, doing the research, and writing up.

A PhD thesis takes a longer time, as the thesis is the main focus of the degree. A PhD thesis might be being formulated and worked on for the whole four years of the degree program. The writing process alone can take around 18 months.

References should be included in your text whenever you use words, ideas, or information from a source. A source can be anything from a book or journal article to a website or YouTube video.

If you don’t acknowledge your sources, you can get in trouble for plagiarism .

Your university should tell you which referencing style to follow. If you’re unsure, check with a supervisor. Commonly used styles include:

• Harvard referencing , the most commonly used style in UK universities.
• MHRA , used in humanities subjects.
• APA , used in the social sciences.
• Vancouver , used in biomedicine.
• OSCOLA , used in law.

Your university may have its own referencing style guide.

If you are allowed to choose which style to follow, we recommend Harvard referencing, as it is a straightforward and widely used style.

To avoid plagiarism , always include a reference when you use words, ideas or information from a source. This shows that you are not trying to pass the work of others off as your own.

You must also properly quote or paraphrase the source. If you’re not sure whether you’ve done this correctly, you can use the Scribbr Plagiarism Checker to find and correct any mistakes.

In Harvard style , when you quote directly from a source that includes page numbers, your in-text citation must include a page number. For example: (Smith, 2014, p. 33).

You can also include page numbers to point the reader towards a passage that you paraphrased . If you refer to the general ideas or findings of the source as a whole, you don’t need to include a page number.

When you want to use a quote but can’t access the original source, you can cite it indirectly. In the in-text citation , first mention the source you want to refer to, and then the source in which you found it. For example:

It’s advisable to avoid indirect citations wherever possible, because they suggest you don’t have full knowledge of the sources you’re citing. Only use an indirect citation if you can’t reasonably gain access to the original source.

In Harvard style referencing , to distinguish between two sources by the same author that were published in the same year, you add a different letter after the year for each source:

• (Smith, 2019a)
• (Smith, 2019b)

Add ‘a’ to the first one you cite, ‘b’ to the second, and so on. Do the same in your bibliography or reference list .

To create a hanging indent for your bibliography or reference list :

• Highlight all the entries
• Click on the arrow in the bottom-right corner of the ‘Paragraph’ tab in the top menu.
• In the pop-up window, under ‘Special’ in the ‘Indentation’ section, use the drop-down menu to select ‘Hanging’.
• Then close the window with ‘OK’.

Though the terms are sometimes used interchangeably, there is a difference in meaning:

• A reference list only includes sources cited in the text – every entry corresponds to an in-text citation .
• A bibliography also includes other sources which were consulted during the research but not cited.

It’s important to assess the reliability of information found online. Look for sources from established publications and institutions with expertise (e.g. peer-reviewed journals and government agencies).

The CRAAP test (currency, relevance, authority, accuracy, purpose) can aid you in assessing sources, as can our list of credible sources . You should generally avoid citing websites like Wikipedia that can be edited by anyone – instead, look for the original source of the information in the “References” section.

You can generally omit page numbers in your in-text citations of online sources which don’t have them. But when you quote or paraphrase a specific passage from a particularly long online source, it’s useful to find an alternate location marker.

For text-based sources, you can use paragraph numbers (e.g. ‘para. 4’) or headings (e.g. ‘under “Methodology”’). With video or audio sources, use a timestamp (e.g. ‘10:15’).

In the acknowledgements of your thesis or dissertation, you should first thank those who helped you academically or professionally, such as your supervisor, funders, and other academics.

Then you can include personal thanks to friends, family members, or anyone else who supported you during the process.

Yes, it’s important to thank your supervisor(s) in the acknowledgements section of your thesis or dissertation .

Even if you feel your supervisor did not contribute greatly to the final product, you still should acknowledge them, if only for a very brief thank you. If you do not include your supervisor, it may be seen as a snub.

The acknowledgements are generally included at the very beginning of your thesis or dissertation, directly after the title page and before the abstract .

In a thesis or dissertation, the acknowledgements should usually be no longer than one page. There is no minimum length.

You may acknowledge God in your thesis or dissertation acknowledgements , but be sure to follow academic convention by also thanking the relevant members of academia, as well as family, colleagues, and friends who helped you.

All level 1 and 2 headings should be included in your table of contents . That means the titles of your chapters and the main sections within them.

The contents should also include all appendices and the lists of tables and figures, if applicable, as well as your reference list .

Do not include the acknowledgements or abstract   in the table of contents.

To automatically insert a table of contents in Microsoft Word, follow these steps:

• Apply heading styles throughout the document.
• In the references section in the ribbon, locate the Table of Contents group.
• Click the arrow next to the Table of Contents icon and select Custom Table of Contents.
• Select which levels of headings you would like to include in the table of contents.

Make sure to update your table of contents if you move text or change headings. To update, simply right click and select Update Field.

The table of contents in a thesis or dissertation always goes between your abstract and your introduction.

An abbreviation is a shortened version of an existing word, such as Dr for Doctor. In contrast, an acronym uses the first letter of each word to create a wholly new word, such as UNESCO (an acronym for the United Nations Educational, Scientific and Cultural Organization).

Your dissertation sometimes contains a list of abbreviations .

As a rule of thumb, write the explanation in full the first time you use an acronym or abbreviation. You can then proceed with the shortened version. However, if the abbreviation is very common (like UK or PC), then you can just use the abbreviated version straight away.

Be sure to add each abbreviation in your list of abbreviations !

If you only used a few abbreviations in your thesis or dissertation, you don’t necessarily need to include a list of abbreviations .

If your abbreviations are numerous, or if you think they won’t be known to your audience, it’s never a bad idea to add one. They can also improve readability, minimising confusion about abbreviations unfamiliar to your reader.

A list of abbreviations is a list of all the abbreviations you used in your thesis or dissertation. It should appear at the beginning of your document, immediately after your table of contents . It should always be in alphabetical order.

Fishbone diagrams have a few different names that are used interchangeably, including herringbone diagram, cause-and-effect diagram, and Ishikawa diagram.

These are all ways to refer to the same thing– a problem-solving approach that uses a fish-shaped diagram to model possible root causes of problems and troubleshoot solutions.

Fishbone diagrams (also called herringbone diagrams, cause-and-effect diagrams, and Ishikawa diagrams) are most popular in fields of quality management. They are also commonly used in nursing and healthcare, or as a brainstorming technique for students.

Some synonyms and near synonyms of among include:

• In the company of
• In the middle of
• Surrounded by

Some synonyms and near synonyms of between  include:

• In the space separating
• In the time separating

In spite of   is a preposition used to mean ‘ regardless of ‘, ‘notwithstanding’, or ‘even though’.

It’s always used in a subordinate clause to contrast with the information given in the main clause of a sentence (e.g., ‘Amy continued to watch TV, in spite of the time’).

Despite   is a preposition used to mean ‘ regardless of ‘, ‘notwithstanding’, or ‘even though’.

It’s used in a subordinate clause to contrast with information given in the main clause of a sentence (e.g., ‘Despite the stress, Joe loves his job’).

‘Log in’ is a phrasal verb meaning ‘connect to an electronic device, system, or app’. The preposition ‘to’ is often used directly after the verb; ‘in’ and ‘to’ should be written as two separate words (e.g., ‘ log in to the app to update privacy settings’).

‘Log into’ is sometimes used instead of ‘log in to’, but this is generally considered incorrect (as is ‘login to’).

Some synonyms and near synonyms of ensure include:

• Make certain

Some synonyms and near synonyms of assure  include:

Rest assured is an expression meaning ‘you can be certain’ (e.g., ‘Rest assured, I will find your cat’). ‘Assured’ is the adjectival form of the verb assure , meaning ‘convince’ or ‘persuade’.

Some synonyms and near synonyms for council include:

There are numerous synonyms and near synonyms for the two meanings of counsel :

AI writing tools can be used to perform a variety of tasks.

Generative AI writing tools (like ChatGPT ) generate text based on human inputs and can be used for interactive learning, to provide feedback, or to generate research questions or outlines.

These tools can also be used to paraphrase or summarise text or to identify grammar and punctuation mistakes. Y ou can also use Scribbr’s free paraphrasing tool , summarising tool , and grammar checker , which are designed specifically for these purposes.

Using AI writing tools (like ChatGPT ) to write your essay is usually considered plagiarism and may result in penalisation, unless it is allowed by your university. Text generated by AI tools is based on existing texts and therefore cannot provide unique insights. Furthermore, these outputs sometimes contain factual inaccuracies or grammar mistakes.

However, AI writing tools can be used effectively as a source of feedback and inspiration for your writing (e.g., to generate research questions ). Other AI tools, like grammar checkers, can help identify and eliminate grammar and punctuation mistakes to enhance your writing.

The Scribbr Knowledge Base is a collection of free resources to help you succeed in academic research, writing, and citation. Every week, we publish helpful step-by-step guides, clear examples, simple templates, engaging videos, and more.

The Knowledge Base is for students at all levels. Whether you’re writing your first essay, working on your bachelor’s or master’s dissertation, or getting to grips with your PhD research, we’ve got you covered.

As well as the Knowledge Base, Scribbr provides many other tools and services to support you in academic writing and citation:

• Create your citations and manage your reference list with our free Reference Generators in APA and MLA style.
• Scan your paper for in-text citation errors and inconsistencies with our innovative APA Citation Checker .
• Avoid accidental plagiarism with our reliable Plagiarism Checker .
• Polish your writing and get feedback on structure and clarity with our Proofreading & Editing services .

Yes! We’re happy for educators to use our content, and we’ve even adapted some of our articles into ready-made lecture slides .

You are free to display, distribute, and adapt Scribbr materials in your classes or upload them in private learning environments like Blackboard. We only ask that you credit Scribbr for any content you use.

We’re always striving to improve the Knowledge Base. If you have an idea for a topic we should cover, or you notice a mistake in any of our articles, let us know by emailing [email protected] .

The consequences of plagiarism vary depending on the type of plagiarism and the context in which it occurs. For example, submitting a whole paper by someone else will have the most severe consequences, while accidental citation errors are considered less serious.

If you’re a student, then you might fail the course, be suspended or expelled, or be obligated to attend a workshop on plagiarism. It depends on whether it’s your first offence or you’ve done it before.

As an academic or professional, plagiarising seriously damages your reputation. You might also lose your research funding or your job, and you could even face legal consequences for copyright infringement.

Paraphrasing without crediting the original author is a form of plagiarism , because you’re presenting someone else’s ideas as if they were your own.

However, paraphrasing is not plagiarism if you correctly reference the source . This means including an in-text referencing and a full reference , formatted according to your required citation style (e.g., Harvard , Vancouver ).

As well as referencing your source, make sure that any paraphrased text is completely rewritten in your own words.

Accidental plagiarism is one of the most common examples of plagiarism . Perhaps you forgot to cite a source, or paraphrased something a bit too closely. Maybe you can’t remember where you got an idea from, and aren’t totally sure if it’s original or not.

These all count as plagiarism, even though you didn’t do it on purpose. When in doubt, make sure you’re citing your sources . Also consider running your work through a plagiarism checker tool prior to submission, which work by using advanced database software to scan for matches between your text and existing texts.

Scribbr’s Plagiarism Checker takes less than 10 minutes and can help you turn in your paper with confidence.

The accuracy depends on the plagiarism checker you use. Per our in-depth research , Scribbr is the most accurate plagiarism checker. Many free plagiarism checkers fail to detect all plagiarism or falsely flag text as plagiarism.

Plagiarism checkers work by using advanced database software to scan for matches between your text and existing texts. Their accuracy is determined by two factors: the algorithm (which recognises the plagiarism) and the size of the database (with which your document is compared).

To avoid plagiarism when summarising an article or other source, follow these two rules:

• Write the summary entirely in your own words by   paraphrasing the author’s ideas.
• Reference the source with an in-text citation and a full reference so your reader can easily find the original text.

Plagiarism can be detected by your professor or readers if the tone, formatting, or style of your text is different in different parts of your paper, or if they’re familiar with the plagiarised source.

Many universities also use   plagiarism detection software like Turnitin’s, which compares your text to a large database of other sources, flagging any similarities that come up.

It can be easier than you think to commit plagiarism by accident. Consider using a   plagiarism checker prior to submitting your essay to ensure you haven’t missed any citations.

Some examples of plagiarism include:

• Copying and pasting a Wikipedia article into the body of an assignment
• Quoting a source without including a citation
• Not paraphrasing a source properly (e.g. maintaining wording too close to the original)
• Forgetting to cite the source of an idea

The most surefire way to   avoid plagiarism is to always cite your sources . When in doubt, cite!

Global plagiarism means taking an entire work written by someone else and passing it off as your own. This can include getting someone else to write an essay or assignment for you, or submitting a text you found online as your own work.

Global plagiarism is one of the most serious types of plagiarism because it involves deliberately and directly lying about the authorship of a work. It can have severe consequences for students and professionals alike.

Verbatim plagiarism means copying text from a source and pasting it directly into your own document without giving proper credit.

If the structure and the majority of the words are the same as in the original source, then you are committing verbatim plagiarism. This is the case even if you delete a few words or replace them with synonyms.

If you want to use an author’s exact words, you need to quote the original source by putting the copied text in quotation marks and including an   in-text citation .

Patchwork plagiarism , also called mosaic plagiarism, means copying phrases, passages, or ideas from various existing sources and combining them to create a new text. This includes slightly rephrasing some of the content, while keeping many of the same words and the same structure as the original.

While this type of plagiarism is more insidious than simply copying and pasting directly from a source, plagiarism checkers like Turnitin’s can still easily detect it.

To avoid plagiarism in any form, remember to reference your sources .

Yes, reusing your own work without citation is considered self-plagiarism . This can range from resubmitting an entire assignment to reusing passages or data from something you’ve handed in previously.

Self-plagiarism often has the same consequences as other types of plagiarism . If you want to reuse content you wrote in the past, make sure to check your university’s policy or consult your professor.

If you are reusing content or data you used in a previous assignment, make sure to cite yourself. You can cite yourself the same way you would cite any other source: simply follow the directions for the citation style you are using.

Keep in mind that reusing prior content can be considered self-plagiarism , so make sure you ask your instructor or consult your university’s handbook prior to doing so.

Most institutions have an internal database of previously submitted student assignments. Turnitin can check for self-plagiarism by comparing your paper against this database. If you’ve reused parts of an assignment you already submitted, it will flag any similarities as potential plagiarism.

Online plagiarism checkers don’t have access to your institution’s database, so they can’t detect self-plagiarism of unpublished work. If you’re worried about accidentally self-plagiarising, you can use Scribbr’s Self-Plagiarism Checker to upload your unpublished documents and check them for similarities.

Plagiarism has serious consequences and can be illegal in certain scenarios.

While most of the time plagiarism in an undergraduate setting is not illegal, plagiarism or self-plagiarism in a professional academic setting can lead to legal action, including copyright infringement and fraud. Many scholarly journals do not allow you to submit the same work to more than one journal, and if you do not credit a coauthor, you could be legally defrauding them.

Even if you aren’t breaking the law, plagiarism can seriously impact your academic career. While the exact consequences of plagiarism vary by institution and severity, common consequences include a lower grade, automatically failing a course, academic suspension or probation, and even expulsion.

Self-plagiarism means recycling work that you’ve previously published or submitted as an assignment. It’s considered academic dishonesty to present something as brand new when you’ve already gotten credit and perhaps feedback for it in the past.

If you want to refer to ideas or data from previous work, be sure to cite yourself.

Academic integrity means being honest, ethical, and thorough in your academic work. To maintain academic integrity, you should avoid misleading your readers about any part of your research and refrain from offences like plagiarism and contract cheating, which are examples of academic misconduct.

Academic dishonesty refers to deceitful or misleading behavior in an academic setting. Academic dishonesty can occur intentionally or unintentionally, and it varies in severity.

It can encompass paying for a pre-written essay, cheating on an exam, or committing plagiarism . It can also include helping others cheat, copying a friend’s homework answers, or even pretending to be sick to miss an exam.

Academic dishonesty doesn’t just occur in a classroom setting, but also in research and other academic-adjacent fields.

Consequences of academic dishonesty depend on the severity of the offence and your institution’s policy. They can range from a warning for a first offence to a failing grade in a course to expulsion from your university.

For those in certain fields, such as nursing, engineering, or lab sciences, not learning fundamentals properly can directly impact the health and safety of others. For those working in academia or research, academic dishonesty impacts your professional reputation, leading others to doubt your future work.

Academic dishonesty can be intentional or unintentional, ranging from something as simple as claiming to have read something you didn’t to copying your neighbour’s answers on an exam.

You can commit academic dishonesty with the best of intentions, such as helping a friend cheat on a paper. Severe academic dishonesty can include buying a pre-written essay or the answers to a multiple-choice test, or falsifying a medical emergency to avoid taking a final exam.

Plagiarism means presenting someone else’s work as your own without giving proper credit to the original author. In academic writing, plagiarism involves using words, ideas, or information from a source without including a citation .

Plagiarism can have serious consequences , even when it’s done accidentally. To avoid plagiarism, it’s important to keep track of your sources and cite them correctly.

Common knowledge does not need to be cited. However, you should be extra careful when deciding what counts as common knowledge.

Common knowledge encompasses information that the average educated reader would accept as true without needing the extra validation of a source or citation.

Common knowledge should be widely known, undisputed, and easily verified. When in doubt, always cite your sources.

Most online plagiarism checkers only have access to public databases, whose software doesn’t allow you to compare two documents for plagiarism.

However, in addition to our Plagiarism Checker , Scribbr also offers an Self-Plagiarism Checker . This is an add-on tool that lets you compare your paper with unpublished or private documents. This way you can rest assured that you haven’t unintentionally plagiarised or self-plagiarised .

Compare two sources for plagiarism

The research methods you use depend on the type of data you need to answer your research question .

• If you want to measure something or test a hypothesis , use quantitative methods . If you want to explore ideas, thoughts, and meanings, use qualitative methods .
• If you want to analyse a large amount of readily available data, use secondary data. If you want data specific to your purposes with control over how they are generated, collect primary data.
• If you want to establish cause-and-effect relationships between variables , use experimental methods. If you want to understand the characteristics of a research subject, use descriptive methods.

Methodology refers to the overarching strategy and rationale of your research project . It involves studying the methods used in your field and the theories or principles behind them, in order to develop an approach that matches your objectives.

Methods are the specific tools and procedures you use to collect and analyse data (e.g. experiments, surveys , and statistical tests ).

In shorter scientific papers, where the aim is to report the findings of a specific study, you might simply describe what you did in a methods section .

In a longer or more complex research project, such as a thesis or dissertation , you will probably include a methodology section , where you explain your approach to answering the research questions and cite relevant sources to support your choice of methods.

In mixed methods research , you use both qualitative and quantitative data collection and analysis methods to answer your research question .

Data collection is the systematic process by which observations or measurements are gathered in research. It is used in many different contexts by academics, governments, businesses, and other organisations.

There are various approaches to qualitative data analysis , but they all share five steps in common:

• Prepare and organise your data.
• Review and explore your data.
• Develop a data coding system.
• Assign codes to the data.
• Identify recurring themes.

The specifics of each step depend on the focus of the analysis. Some common approaches include textual analysis , thematic analysis , and discourse analysis .

There are five common approaches to qualitative research :

• Grounded theory involves collecting data in order to develop new theories.
• Ethnography involves immersing yourself in a group or organisation to understand its culture.
• Narrative research involves interpreting stories to understand how people make sense of their experiences and perceptions.
• Phenomenological research involves investigating phenomena through people’s lived experiences.
• Action research links theory and practice in several cycles to drive innovative changes.

Hypothesis testing is a formal procedure for investigating our ideas about the world using statistics. It is used by scientists to test specific predictions, called hypotheses , by calculating how likely it is that a pattern or relationship between variables could have arisen by chance.

Operationalisation means turning abstract conceptual ideas into measurable observations.

For example, the concept of social anxiety isn’t directly observable, but it can be operationally defined in terms of self-rating scores, behavioural avoidance of crowded places, or physical anxiety symptoms in social situations.

Before collecting data , it’s important to consider how you will operationalise the variables that you want to measure.

Triangulation in research means using multiple datasets, methods, theories and/or investigators to address a research question. It’s a research strategy that can help you enhance the validity and credibility of your findings.

Triangulation is mainly used in qualitative research , but it’s also commonly applied in quantitative research . Mixed methods research always uses triangulation.

These are four of the most common mixed methods designs :

• Convergent parallel: Quantitative and qualitative data are collected at the same time and analysed separately. After both analyses are complete, compare your results to draw overall conclusions. 
• Embedded: Quantitative and qualitative data are collected at the same time, but within a larger quantitative or qualitative design. One type of data is secondary to the other.
• Explanatory sequential: Quantitative data is collected and analysed first, followed by qualitative data. You can use this design if you think your qualitative data will explain and contextualise your quantitative findings.
• Exploratory sequential: Qualitative data is collected and analysed first, followed by quantitative data. You can use this design if you think the quantitative data will confirm or validate your qualitative findings.

An observational study could be a good fit for your research if your research question is based on things you observe. If you have ethical, logistical, or practical concerns that make an experimental design challenging, consider an observational study. Remember that in an observational study, it is critical that there be no interference or manipulation of the research subjects. Since it’s not an experiment, there are no control or treatment groups either.

The key difference between observational studies and experiments is that, done correctly, an observational study will never influence the responses or behaviours of participants. Experimental designs will have a treatment condition applied to at least a portion of participants.

Exploratory research explores the main aspects of a new or barely researched question.

Explanatory research explains the causes and effects of an already widely researched question.

Experimental designs are a set of procedures that you plan in order to examine the relationship between variables that interest you.

To design a successful experiment, first identify:

• A testable hypothesis
• One or more independent variables that you will manipulate
• One or more dependent variables that you will measure

When designing the experiment, first decide:

• How your variable(s) will be manipulated
• How you will control for any potential confounding or lurking variables
• How many subjects you will include
• How you will assign treatments to your subjects

There are four main types of triangulation :

• Data triangulation : Using data from different times, spaces, and people
• Investigator triangulation : Involving multiple researchers in collecting or analysing data
• Theory triangulation : Using varying theoretical perspectives in your research
• Methodological triangulation : Using different methodologies to approach the same topic

Triangulation can help:

• Reduce bias that comes from using a single method, theory, or investigator
• Enhance validity by approaching the same topic with different tools
• Establish credibility by giving you a complete picture of the research problem

But triangulation can also pose problems:

• It’s time-consuming and labour-intensive, often involving an interdisciplinary team.
• Your results may be inconsistent or even contradictory.

A confounding variable , also called a confounder or confounding factor, is a third variable in a study examining a potential cause-and-effect relationship.

A confounding variable is related to both the supposed cause and the supposed effect of the study. It can be difficult to separate the true effect of the independent variable from the effect of the confounding variable.

In your research design , it’s important to identify potential confounding variables and plan how you will reduce their impact.

In a between-subjects design , every participant experiences only one condition, and researchers assess group differences between participants in various conditions.

In a within-subjects design , each participant experiences all conditions, and researchers test the same participants repeatedly for differences between conditions.

The word ‘between’ means that you’re comparing different conditions between groups, while the word ‘within’ means you’re comparing different conditions within the same group.

A quasi-experiment is a type of research design that attempts to establish a cause-and-effect relationship. The main difference between this and a true experiment is that the groups are not randomly assigned.

In experimental research, random assignment is a way of placing participants from your sample into different groups using randomisation. With this method, every member of the sample has a known or equal chance of being placed in a control group or an experimental group.

Quasi-experimental design is most useful in situations where it would be unethical or impractical to run a true experiment .

Quasi-experiments have lower internal validity than true experiments, but they often have higher external validity  as they can use real-world interventions instead of artificial laboratory settings.

Within-subjects designs have many potential threats to internal validity , but they are also very statistically powerful .

Advantages:

• Only requires small samples
• Statistically powerful
• Removes the effects of individual differences on the outcomes

Disadvantages:

• Internal validity threats reduce the likelihood of establishing a direct relationship between variables
• Time-related effects, such as growth, can influence the outcomes
• Carryover effects mean that the specific order of different treatments affect the outcomes

Yes. Between-subjects and within-subjects designs can be combined in a single study when you have two or more independent variables (a factorial design). In a mixed factorial design, one variable is altered between subjects and another is altered within subjects.

In a factorial design, multiple independent variables are tested.

If you test two variables, each level of one independent variable is combined with each level of the other independent variable to create different conditions.

While a between-subjects design has fewer threats to internal validity , it also requires more participants for high statistical power than a within-subjects design .

• Prevents carryover effects of learning and fatigue.
• Shorter study duration.
• Needs larger samples for high power.
• Uses more resources to recruit participants, administer sessions, cover costs, etc.
• Individual differences may be an alternative explanation for results.

Samples are used to make inferences about populations . Samples are easier to collect data from because they are practical, cost-effective, convenient, and manageable.

Probability sampling means that every member of the target population has a known chance of being included in the sample.

Probability sampling methods include simple random sampling , systematic sampling , stratified sampling , and cluster sampling .

In non-probability sampling , the sample is selected based on non-random criteria, and not every member of the population has a chance of being included.

Common non-probability sampling methods include convenience sampling , voluntary response sampling, purposive sampling , snowball sampling , and quota sampling .

In multistage sampling , or multistage cluster sampling, you draw a sample from a population using smaller and smaller groups at each stage.

This method is often used to collect data from a large, geographically spread group of people in national surveys, for example. You take advantage of hierarchical groupings (e.g., from county to city to neighbourhood) to create a sample that’s less expensive and time-consuming to collect data from.

Sampling bias occurs when some members of a population are systematically more likely to be selected in a sample than others.

Simple random sampling is a type of probability sampling in which the researcher randomly selects a subset of participants from a population . Each member of the population has an equal chance of being selected. Data are then collected from as large a percentage as possible of this random subset.

The American Community Survey  is an example of simple random sampling . In order to collect detailed data on the population of the US, the Census Bureau officials randomly select 3.5 million households per year and use a variety of methods to convince them to fill out the survey.

If properly implemented, simple random sampling is usually the best sampling method for ensuring both internal and external validity . However, it can sometimes be impractical and expensive to implement, depending on the size of the population to be studied,

If you have a list of every member of the population and the ability to reach whichever members are selected, you can use simple random sampling.

Cluster sampling is more time- and cost-efficient than other probability sampling methods , particularly when it comes to large samples spread across a wide geographical area.

However, it provides less statistical certainty than other methods, such as simple random sampling , because it is difficult to ensure that your clusters properly represent the population as a whole.

There are three types of cluster sampling : single-stage, double-stage and multi-stage clustering. In all three types, you first divide the population into clusters, then randomly select clusters for use in your sample.

• In single-stage sampling , you collect data from every unit within the selected clusters.
• In double-stage sampling , you select a random sample of units from within the clusters.
• In multi-stage sampling , you repeat the procedure of randomly sampling elements from within the clusters until you have reached a manageable sample.

Cluster sampling is a probability sampling method in which you divide a population into clusters, such as districts or schools, and then randomly select some of these clusters as your sample.

The clusters should ideally each be mini-representations of the population as a whole.

In multistage sampling , you can use probability or non-probability sampling methods.

For a probability sample, you have to probability sampling at every stage. You can mix it up by using simple random sampling , systematic sampling , or stratified sampling to select units at different stages, depending on what is applicable and relevant to your study.

Multistage sampling can simplify data collection when you have large, geographically spread samples, and you can obtain a probability sample without a complete sampling frame.

But multistage sampling may not lead to a representative sample, and larger samples are needed for multistage samples to achieve the statistical properties of simple random samples .

In stratified sampling , researchers divide subjects into subgroups called strata based on characteristics that they share (e.g., race, gender, educational attainment).

Once divided, each subgroup is randomly sampled using another probability sampling method .

You should use stratified sampling when your sample can be divided into mutually exclusive and exhaustive subgroups that you believe will take on different mean values for the variable that you’re studying.

Using stratified sampling will allow you to obtain more precise (with lower variance ) statistical estimates of whatever you are trying to measure.

For example, say you want to investigate how income differs based on educational attainment, but you know that this relationship can vary based on race. Using stratified sampling, you can ensure you obtain a large enough sample from each racial group, allowing you to draw more precise conclusions.

Yes, you can create a stratified sample using multiple characteristics, but you must ensure that every participant in your study belongs to one and only one subgroup. In this case, you multiply the numbers of subgroups for each characteristic to get the total number of groups.

For example, if you were stratifying by location with three subgroups (urban, rural, or suburban) and marital status with five subgroups (single, divorced, widowed, married, or partnered), you would have 3 × 5 = 15 subgroups.

There are three key steps in systematic sampling :

• Define and list your population , ensuring that it is not ordered in a cyclical or periodic order.
• Decide on your sample size and calculate your interval, k , by dividing your population by your target sample size.
• Choose every k th member of the population as your sample.

Systematic sampling is a probability sampling method where researchers select members of the population at a regular interval – for example, by selecting every 15th person on a list of the population. If the population is in a random order, this can imitate the benefits of simple random sampling .

Populations are used when a research question requires data from every member of the population. This is usually only feasible when the population is small and easily accessible.

A statistic refers to measures about the sample , while a parameter refers to measures about the population .

A sampling error is the difference between a population parameter and a sample statistic .

There are eight threats to internal validity : history, maturation, instrumentation, testing, selection bias , regression to the mean, social interaction, and attrition .

Internal validity is the extent to which you can be confident that a cause-and-effect relationship established in a study cannot be explained by other factors.

Attrition bias is a threat to internal validity . In experiments, differential rates of attrition between treatment and control groups can skew results.

This bias can affect the relationship between your independent and dependent variables . It can make variables appear to be correlated when they are not, or vice versa.

The external validity of a study is the extent to which you can generalise your findings to different groups of people, situations, and measures.

The two types of external validity are population validity (whether you can generalise to other groups of people) and ecological validity (whether you can generalise to other situations and settings).

There are seven threats to external validity : selection bias , history, experimenter effect, Hawthorne effect , testing effect, aptitude-treatment, and situation effect.

Attrition bias can skew your sample so that your final sample differs significantly from your original sample. Your sample is biased because some groups from your population are underrepresented.

With a biased final sample, you may not be able to generalise your findings to the original population that you sampled from, so your external validity is compromised.

Construct validity is about how well a test measures the concept it was designed to evaluate. It’s one of four types of measurement validity , which includes construct validity, face validity , and criterion validity.

There are two subtypes of construct validity.

• Convergent validity : The extent to which your measure corresponds to measures of related constructs
• Discriminant validity: The extent to which your measure is unrelated or negatively related to measures of distinct constructs

When designing or evaluating a measure, construct validity helps you ensure you’re actually measuring the construct you’re interested in. If you don’t have construct validity, you may inadvertently measure unrelated or distinct constructs and lose precision in your research.

Construct validity is often considered the overarching type of measurement validity ,  because it covers all of the other types. You need to have face validity , content validity, and criterion validity to achieve construct validity.

Statistical analyses are often applied to test validity with data from your measures. You test convergent validity and discriminant validity with correlations to see if results from your test are positively or negatively related to those of other established tests.

You can also use regression analyses to assess whether your measure is actually predictive of outcomes that you expect it to predict theoretically. A regression analysis that supports your expectations strengthens your claim of construct validity .

Face validity is about whether a test appears to measure what it’s supposed to measure. This type of validity is concerned with whether a measure seems relevant and appropriate for what it’s assessing only on the surface.

Face validity is important because it’s a simple first step to measuring the overall validity of a test or technique. It’s a relatively intuitive, quick, and easy way to start checking whether a new measure seems useful at first glance.

Good face validity means that anyone who reviews your measure says that it seems to be measuring what it’s supposed to. With poor face validity, someone reviewing your measure may be left confused about what you’re measuring and why you’re using this method.

It’s often best to ask a variety of people to review your measurements. You can ask experts, such as other researchers, or laypeople, such as potential participants, to judge the face validity of tests.

While experts have a deep understanding of research methods , the people you’re studying can provide you with valuable insights you may have missed otherwise.

There are many different types of inductive reasoning that people use formally or informally.

Here are a few common types:

• Inductive generalisation : You use observations about a sample to come to a conclusion about the population it came from.
• Statistical generalisation: You use specific numbers about samples to make statements about populations.
• Causal reasoning: You make cause-and-effect links between different things.
• Sign reasoning: You make a conclusion about a correlational relationship between different things.
• Analogical reasoning: You make a conclusion about something based on its similarities to something else.

Inductive reasoning is a bottom-up approach, while deductive reasoning is top-down.

Inductive reasoning takes you from the specific to the general, while in deductive reasoning, you make inferences by going from general premises to specific conclusions.

In inductive research , you start by making observations or gathering data. Then, you take a broad scan of your data and search for patterns. Finally, you make general conclusions that you might incorporate into theories.

Inductive reasoning is a method of drawing conclusions by going from the specific to the general. It’s usually contrasted with deductive reasoning, where you proceed from general information to specific conclusions.

Inductive reasoning is also called inductive logic or bottom-up reasoning.

Deductive reasoning is a logical approach where you progress from general ideas to specific conclusions. It’s often contrasted with inductive reasoning , where you start with specific observations and form general conclusions.

Deductive reasoning is also called deductive logic.

Deductive reasoning is commonly used in scientific research, and it’s especially associated with quantitative research .

In research, you might have come across something called the hypothetico-deductive method . It’s the scientific method of testing hypotheses to check whether your predictions are substantiated by real-world data.

A dependent variable is what changes as a result of the independent variable manipulation in experiments . It’s what you’re interested in measuring, and it ‘depends’ on your independent variable.

In statistics, dependent variables are also called:

• Response variables (they respond to a change in another variable)
• Outcome variables (they represent the outcome you want to measure)
• Left-hand-side variables (they appear on the left-hand side of a regression equation)

An independent variable is the variable you manipulate, control, or vary in an experimental study to explore its effects. It’s called ‘independent’ because it’s not influenced by any other variables in the study.

Independent variables are also called:

• Explanatory variables (they explain an event or outcome)
• Predictor variables (they can be used to predict the value of a dependent variable)
• Right-hand-side variables (they appear on the right-hand side of a regression equation)

A correlation is usually tested for two variables at a time, but you can test correlations between three or more variables.

On graphs, the explanatory variable is conventionally placed on the x -axis, while the response variable is placed on the y -axis.

• If you have quantitative variables , use a scatterplot or a line graph.
• If your response variable is categorical, use a scatterplot or a line graph.
• If your explanatory variable is categorical, use a bar graph.

The term ‘ explanatory variable ‘ is sometimes preferred over ‘ independent variable ‘ because, in real-world contexts, independent variables are often influenced by other variables. This means they aren’t totally independent.

Multiple independent variables may also be correlated with each other, so ‘explanatory variables’ is a more appropriate term.

The difference between explanatory and response variables is simple:

• An explanatory variable is the expected cause, and it explains the results.
• A response variable is the expected effect, and it responds to other variables.

There are 4 main types of extraneous variables :

• Demand characteristics : Environmental cues that encourage participants to conform to researchers’ expectations
• Experimenter effects : Unintentional actions by researchers that influence study outcomes
• Situational variables : Eenvironmental variables that alter participants’ behaviours
• Participant variables : Any characteristic or aspect of a participant’s background that could affect study results

An extraneous variable is any variable that you’re not investigating that can potentially affect the dependent variable of your research study.

A confounding variable is a type of extraneous variable that not only affects the dependent variable, but is also related to the independent variable.

‘Controlling for a variable’ means measuring extraneous variables and accounting for them statistically to remove their effects on other variables.

Researchers often model control variable data along with independent and dependent variable data in regression analyses and ANCOVAs . That way, you can isolate the control variable’s effects from the relationship between the variables of interest.

Control variables help you establish a correlational or causal relationship between variables by enhancing internal validity .

If you don’t control relevant extraneous variables , they may influence the outcomes of your study, and you may not be able to demonstrate that your results are really an effect of your independent variable .

A control variable is any variable that’s held constant in a research study. It’s not a variable of interest in the study, but it’s controlled because it could influence the outcomes.

In statistics, ordinal and nominal variables are both considered categorical variables .

Even though ordinal data can sometimes be numerical, not all mathematical operations can be performed on them.

In scientific research, concepts are the abstract ideas or phenomena that are being studied (e.g., educational achievement). Variables are properties or characteristics of the concept (e.g., performance at school), while indicators are ways of measuring or quantifying variables (e.g., yearly grade reports).

The process of turning abstract concepts into measurable variables and indicators is called operationalisation .

There are several methods you can use to decrease the impact of confounding variables on your research: restriction, matching, statistical control, and randomisation.

In restriction , you restrict your sample by only including certain subjects that have the same values of potential confounding variables.

In matching , you match each of the subjects in your treatment group with a counterpart in the comparison group. The matched subjects have the same values on any potential confounding variables, and only differ in the independent variable .

In statistical control , you include potential confounders as variables in your regression .

In randomisation , you randomly assign the treatment (or independent variable) in your study to a sufficiently large number of subjects, which allows you to control for all potential confounding variables.

A confounding variable is closely related to both the independent and dependent variables in a study. An independent variable represents the supposed cause , while the dependent variable is the supposed effect . A confounding variable is a third variable that influences both the independent and dependent variables.

Failing to account for confounding variables can cause you to wrongly estimate the relationship between your independent and dependent variables.

To ensure the internal validity of your research, you must consider the impact of confounding variables. If you fail to account for them, you might over- or underestimate the causal relationship between your independent and dependent variables , or even find a causal relationship where none exists.

Yes, but including more than one of either type requires multiple research questions .

For example, if you are interested in the effect of a diet on health, you can use multiple measures of health: blood sugar, blood pressure, weight, pulse, and many more. Each of these is its own dependent variable with its own research question.

You could also choose to look at the effect of exercise levels as well as diet, or even the additional effect of the two combined. Each of these is a separate independent variable .

To ensure the internal validity of an experiment , you should only change one independent variable at a time.

No. The value of a dependent variable depends on an independent variable, so a variable cannot be both independent and dependent at the same time. It must be either the cause or the effect, not both.

You want to find out how blood sugar levels are affected by drinking diet cola and regular cola, so you conduct an experiment .

• The type of cola – diet or regular – is the independent variable .
• The level of blood sugar that you measure is the dependent variable – it changes depending on the type of cola.

Determining cause and effect is one of the most important parts of scientific research. It’s essential to know which is the cause – the independent variable – and which is the effect – the dependent variable.

Quantitative variables are any variables where the data represent amounts (e.g. height, weight, or age).

Categorical variables are any variables where the data represent groups. This includes rankings (e.g. finishing places in a race), classifications (e.g. brands of cereal), and binary outcomes (e.g. coin flips).

You need to know what type of variables you are working with to choose the right statistical test for your data and interpret your results .

Discrete and continuous variables are two types of quantitative variables :

• Discrete variables represent counts (e.g., the number of objects in a collection).
• Continuous variables represent measurable amounts (e.g., water volume or weight).

You can think of independent and dependent variables in terms of cause and effect: an independent variable is the variable you think is the cause , while a dependent variable is the effect .

In an experiment, you manipulate the independent variable and measure the outcome in the dependent variable. For example, in an experiment about the effect of nutrients on crop growth:

• The  independent variable  is the amount of nutrients added to the crop field.
• The  dependent variable is the biomass of the crops at harvest time.

Defining your variables, and deciding how you will manipulate and measure them, is an important part of experimental design .

Including mediators and moderators in your research helps you go beyond studying a simple relationship between two variables for a fuller picture of the real world. They are important to consider when studying complex correlational or causal relationships.

Mediators are part of the causal pathway of an effect, and they tell you how or why an effect takes place. Moderators usually help you judge the external validity of your study by identifying the limitations of when the relationship between variables holds.

If something is a mediating variable :

• It’s caused by the independent variable
• It influences the dependent variable
• When it’s taken into account, the statistical correlation between the independent and dependent variables is higher than when it isn’t considered

A confounder is a third variable that affects variables of interest and makes them seem related when they are not. In contrast, a mediator is the mechanism of a relationship between two variables: it explains the process by which they are related.

A mediator variable explains the process through which two variables are related, while a moderator variable affects the strength and direction of that relationship.

When conducting research, collecting original data has significant advantages:

• You can tailor data collection to your specific research aims (e.g., understanding the needs of your consumers or user testing your website).
• You can control and standardise the process for high reliability and validity (e.g., choosing appropriate measurements and sampling methods ).

However, there are also some drawbacks: data collection can be time-consuming, labour-intensive, and expensive. In some cases, it’s more efficient to use secondary data that has already been collected by someone else, but the data might be less reliable.

A structured interview is a data collection method that relies on asking questions in a set order to collect data on a topic. They are often quantitative in nature. Structured interviews are best used when:

• You already have a very clear understanding of your topic. Perhaps significant research has already been conducted, or you have done some prior research yourself, but you already possess a baseline for designing strong structured questions.
• You are constrained in terms of time or resources and need to analyse your data quickly and efficiently
• Your research question depends on strong parity between participants, with environmental conditions held constant

More flexible interview options include semi-structured interviews , unstructured interviews , and focus groups .

The interviewer effect is a type of bias that emerges when a characteristic of an interviewer (race, age, gender identity, etc.) influences the responses given by the interviewee.

There is a risk of an interviewer effect in all types of interviews , but it can be mitigated by writing really high-quality interview questions.

A semi-structured interview is a blend of structured and unstructured types of interviews. Semi-structured interviews are best used when:

• You have prior interview experience. Spontaneous questions are deceptively challenging, and it’s easy to accidentally ask a leading question or make a participant uncomfortable.
• Your research question is exploratory in nature. Participant answers can guide future research questions and help you develop a more robust knowledge base for future research.

An unstructured interview is the most flexible type of interview, but it is not always the best fit for your research topic.

Unstructured interviews are best used when:

• You are an experienced interviewer and have a very strong background in your research topic, since it is challenging to ask spontaneous, colloquial questions
• Your research question is exploratory in nature. While you may have developed hypotheses, you are open to discovering new or shifting viewpoints through the interview process.
• You are seeking descriptive data, and are ready to ask questions that will deepen and contextualise your initial thoughts and hypotheses
• Your research depends on forming connections with your participants and making them feel comfortable revealing deeper emotions, lived experiences, or thoughts

The four most common types of interviews are:

• Structured interviews : The questions are predetermined in both topic and order.
• Semi-structured interviews : A few questions are predetermined, but other questions aren’t planned.
• Unstructured interviews : None of the questions are predetermined.
• Focus group interviews : The questions are presented to a group instead of one individual.

A focus group is a research method that brings together a small group of people to answer questions in a moderated setting. The group is chosen due to predefined demographic traits, and the questions are designed to shed light on a topic of interest. It is one of four types of interviews .

Social desirability bias is the tendency for interview participants to give responses that will be viewed favourably by the interviewer or other participants. It occurs in all types of interviews and surveys , but is most common in semi-structured interviews , unstructured interviews , and focus groups .

Social desirability bias can be mitigated by ensuring participants feel at ease and comfortable sharing their views. Make sure to pay attention to your own body language and any physical or verbal cues, such as nodding or widening your eyes.

This type of bias in research can also occur in observations if the participants know they’re being observed. They might alter their behaviour accordingly.

As a rule of thumb, questions related to thoughts, beliefs, and feelings work well in focus groups . Take your time formulating strong questions, paying special attention to phrasing. Be careful to avoid leading questions , which can bias your responses.

Overall, your focus group questions should be:

• Open-ended and flexible
• Impossible to answer with ‘yes’ or ‘no’ (questions that start with ‘why’ or ‘how’ are often best)
• Unambiguous, getting straight to the point while still stimulating discussion
• Unbiased and neutral

The third variable and directionality problems are two main reasons why correlation isn’t causation .

The third variable problem means that a confounding variable affects both variables to make them seem causally related when they are not.

The directionality problem is when two variables correlate and might actually have a causal relationship, but it’s impossible to conclude which variable causes changes in the other.

Controlled experiments establish causality, whereas correlational studies only show associations between variables.

• In an experimental design , you manipulate an independent variable and measure its effect on a dependent variable. Other variables are controlled so they can’t impact the results.
• In a correlational design , you measure variables without manipulating any of them. You can test whether your variables change together, but you can’t be sure that one variable caused a change in another.

In general, correlational research is high in external validity while experimental research is high in internal validity .

A correlation coefficient is a single number that describes the strength and direction of the relationship between your variables.

Different types of correlation coefficients might be appropriate for your data based on their levels of measurement and distributions . The Pearson product-moment correlation coefficient (Pearson’s r ) is commonly used to assess a linear relationship between two quantitative variables.

A correlational research design investigates relationships between two variables (or more) without the researcher controlling or manipulating any of them. It’s a non-experimental type of quantitative research .

A correlation reflects the strength and/or direction of the association between two or more variables.

• A positive correlation means that both variables change in the same direction.
• A negative correlation means that the variables change in opposite directions.
• A zero correlation means there’s no relationship between the variables.

Longitudinal studies can last anywhere from weeks to decades, although they tend to be at least a year long.

The 1970 British Cohort Study , which has collected data on the lives of 17,000 Brits since their births in 1970, is one well-known example of a longitudinal study .

Longitudinal studies are better to establish the correct sequence of events, identify changes over time, and provide insight into cause-and-effect relationships, but they also tend to be more expensive and time-consuming than other types of studies.

Longitudinal studies and cross-sectional studies are two different types of research design . In a cross-sectional study you collect data from a population at a specific point in time; in a longitudinal study you repeatedly collect data from the same sample over an extended period of time.

Cross-sectional studies cannot establish a cause-and-effect relationship or analyse behaviour over a period of time. To investigate cause and effect, you need to do a longitudinal study or an experimental study .

Cross-sectional studies are less expensive and time-consuming than many other types of study. They can provide useful insights into a population’s characteristics and identify correlations for further research.

Sometimes only cross-sectional data are available for analysis; other times your research question may only require a cross-sectional study to answer it.

A hypothesis states your predictions about what your research will find. It is a tentative answer to your research question that has not yet been tested. For some research projects, you might have to write several hypotheses that address different aspects of your research question.

A hypothesis is not just a guess. It should be based on existing theories and knowledge. It also has to be testable, which means you can support or refute it through scientific research methods (such as experiments, observations, and statistical analysis of data).

A research hypothesis is your proposed answer to your research question. The research hypothesis usually includes an explanation (‘ x affects y because …’).

A statistical hypothesis, on the other hand, is a mathematical statement about a population parameter. Statistical hypotheses always come in pairs: the null and alternative hypotheses. In a well-designed study , the statistical hypotheses correspond logically to the research hypothesis.

Individual Likert-type questions are generally considered ordinal data , because the items have clear rank order, but don’t have an even distribution.

Overall Likert scale scores are sometimes treated as interval data. These scores are considered to have directionality and even spacing between them.

The type of data determines what statistical tests you should use to analyse your data.

A Likert scale is a rating scale that quantitatively assesses opinions, attitudes, or behaviours. It is made up of four or more questions that measure a single attitude or trait when response scores are combined.

To use a Likert scale in a survey , you present participants with Likert-type questions or statements, and a continuum of items, usually with five or seven possible responses, to capture their degree of agreement.

A questionnaire is a data collection tool or instrument, while a survey is an overarching research method that involves collecting and analysing data from people using questionnaires.

A true experiment (aka a controlled experiment) always includes at least one control group that doesn’t receive the experimental treatment.

However, some experiments use a within-subjects design to test treatments without a control group. In these designs, you usually compare one group’s outcomes before and after a treatment (instead of comparing outcomes between different groups).

For strong internal validity , it’s usually best to include a control group if possible. Without a control group, it’s harder to be certain that the outcome was caused by the experimental treatment and not by other variables.

An experimental group, also known as a treatment group, receives the treatment whose effect researchers wish to study, whereas a control group does not. They should be identical in all other ways.

In a controlled experiment , all extraneous variables are held constant so that they can’t influence the results. Controlled experiments require:

• A control group that receives a standard treatment, a fake treatment, or no treatment
• Random assignment of participants to ensure the groups are equivalent

Depending on your study topic, there are various other methods of controlling variables .

Questionnaires can be self-administered or researcher-administered.

Self-administered questionnaires can be delivered online or in paper-and-pen formats, in person or by post. All questions are standardised so that all respondents receive the same questions with identical wording.

Researcher-administered questionnaires are interviews that take place by phone, in person, or online between researchers and respondents. You can gain deeper insights by clarifying questions for respondents or asking follow-up questions.

You can organise the questions logically, with a clear progression from simple to complex, or randomly between respondents. A logical flow helps respondents process the questionnaire easier and quicker, but it may lead to bias. Randomisation can minimise the bias from order effects.

Closed-ended, or restricted-choice, questions offer respondents a fixed set of choices to select from. These questions are easier to answer quickly.

Open-ended or long-form questions allow respondents to answer in their own words. Because there are no restrictions on their choices, respondents can answer in ways that researchers may not have otherwise considered.

Naturalistic observation is a qualitative research method where you record the behaviours of your research subjects in real-world settings. You avoid interfering or influencing anything in a naturalistic observation.

You can think of naturalistic observation as ‘people watching’ with a purpose.

Naturalistic observation is a valuable tool because of its flexibility, external validity , and suitability for topics that can’t be studied in a lab setting.

The downsides of naturalistic observation include its lack of scientific control , ethical considerations , and potential for bias from observers and subjects.

You can use several tactics to minimise observer bias .

• Use masking (blinding) to hide the purpose of your study from all observers.
• Triangulate your data with different data collection methods or sources.
• Use multiple observers and ensure inter-rater reliability.
• Train your observers to make sure data is consistently recorded between them.
• Standardise your observation procedures to make sure they are structured and clear.

The observer-expectancy effect occurs when researchers influence the results of their own study through interactions with participants.

Researchers’ own beliefs and expectations about the study results may unintentionally influence participants through demand characteristics .

Observer bias occurs when a researcher’s expectations, opinions, or prejudices influence what they perceive or record in a study. It usually affects studies when observers are aware of the research aims or hypotheses. This type of research bias is also called detection bias or ascertainment bias .

Data cleaning is necessary for valid and appropriate analyses. Dirty data contain inconsistencies or errors , but cleaning your data helps you minimise or resolve these.

Without data cleaning, you could end up with a Type I or II error in your conclusion. These types of erroneous conclusions can be practically significant with important consequences, because they lead to misplaced investments or missed opportunities.

Data cleaning involves spotting and resolving potential data inconsistencies or errors to improve your data quality. An error is any value (e.g., recorded weight) that doesn’t reflect the true value (e.g., actual weight) of something that’s being measured.

In this process, you review, analyse, detect, modify, or remove ‘dirty’ data to make your dataset ‘clean’. Data cleaning is also called data cleansing or data scrubbing.

Data cleaning takes place between data collection and data analyses. But you can use some methods even before collecting data.

For clean data, you should start by designing measures that collect valid data. Data validation at the time of data entry or collection helps you minimize the amount of data cleaning you’ll need to do.

After data collection, you can use data standardisation and data transformation to clean your data. You’ll also deal with any missing values, outliers, and duplicate values.

Clean data are valid, accurate, complete, consistent, unique, and uniform. Dirty data include inconsistencies and errors.

Dirty data can come from any part of the research process, including poor research design , inappropriate measurement materials, or flawed data entry.

Random assignment is used in experiments with a between-groups or independent measures design. In this research design, there’s usually a control group and one or more experimental groups. Random assignment helps ensure that the groups are comparable.

In general, you should always use random assignment in this type of experimental design when it is ethically possible and makes sense for your study topic.

Random selection, or random sampling , is a way of selecting members of a population for your study’s sample.

In contrast, random assignment is a way of sorting the sample into control and experimental groups.

Random sampling enhances the external validity or generalisability of your results, while random assignment improves the internal validity of your study.

To implement random assignment , assign a unique number to every member of your study’s sample .

Then, you can use a random number generator or a lottery method to randomly assign each number to a control or experimental group. You can also do so manually, by flipping a coin or rolling a die to randomly assign participants to groups.

Exploratory research is often used when the issue you’re studying is new or when the data collection process is challenging for some reason.

You can use exploratory research if you have a general idea or a specific question that you want to study but there is no preexisting knowledge or paradigm with which to study it.

Exploratory research is a methodology approach that explores research questions that have not previously been studied in depth. It is often used when the issue you’re studying is new, or the data collection process is challenging in some way.

Explanatory research is used to investigate how or why a phenomenon occurs. Therefore, this type of research is often one of the first stages in the research process , serving as a jumping-off point for future research.

Explanatory research is a research method used to investigate how or why something occurs when only a small amount of information is available pertaining to that topic. It can help you increase your understanding of a given topic.

Blinding means hiding who is assigned to the treatment group and who is assigned to the control group in an experiment .

Blinding is important to reduce bias (e.g., observer bias , demand characteristics ) and ensure a study’s internal validity .

If participants know whether they are in a control or treatment group , they may adjust their behaviour in ways that affect the outcome that researchers are trying to measure. If the people administering the treatment are aware of group assignment, they may treat participants differently and thus directly or indirectly influence the final results.

• In a single-blind study , only the participants are blinded.
• In a double-blind study , both participants and experimenters are blinded.
• In a triple-blind study , the assignment is hidden not only from participants and experimenters, but also from the researchers analysing the data.

Many academic fields use peer review , largely to determine whether a manuscript is suitable for publication. Peer review enhances the credibility of the published manuscript.

However, peer review is also common in non-academic settings. The United Nations, the European Union, and many individual nations use peer review to evaluate grant applications. It is also widely used in medical and health-related fields as a teaching or quality-of-care measure.

Peer assessment is often used in the classroom as a pedagogical tool. Both receiving feedback and providing it are thought to enhance the learning process, helping students think critically and collaboratively.

Peer review can stop obviously problematic, falsified, or otherwise untrustworthy research from being published. It also represents an excellent opportunity to get feedback from renowned experts in your field.

It acts as a first defence, helping you ensure your argument is clear and that there are no gaps, vague terms, or unanswered questions for readers who weren’t involved in the research process.

Peer-reviewed articles are considered a highly credible source due to this stringent process they go through before publication.

In general, the peer review process follows the following steps:

• First, the author submits the manuscript to the editor.
• Reject the manuscript and send it back to author, or
• Send it onward to the selected peer reviewer(s)
• Next, the peer review process occurs. The reviewer provides feedback, addressing any major or minor issues with the manuscript, and gives their advice regarding what edits should be made.
• Lastly, the edited manuscript is sent back to the author. They input the edits, and resubmit it to the editor for publication.

Peer review is a process of evaluating submissions to an academic journal. Utilising rigorous criteria, a panel of reviewers in the same subject area decide whether to accept each submission for publication.

For this reason, academic journals are often considered among the most credible sources you can use in a research project – provided that the journal itself is trustworthy and well regarded.

Anonymity means you don’t know who the participants are, while confidentiality means you know who they are but remove identifying information from your research report. Both are important ethical considerations .

You can only guarantee anonymity by not collecting any personally identifying information – for example, names, phone numbers, email addresses, IP addresses, physical characteristics, photos, or videos.

You can keep data confidential by using aggregate information in your research report, so that you only refer to groups of participants rather than individuals.

Research misconduct means making up or falsifying data, manipulating data analyses, or misrepresenting results in research reports. It’s a form of academic fraud.

These actions are committed intentionally and can have serious consequences; research misconduct is not a simple mistake or a point of disagreement but a serious ethical failure.

Research ethics matter for scientific integrity, human rights and dignity, and collaboration between science and society. These principles make sure that participation in studies is voluntary, informed, and safe.

Ethical considerations in research are a set of principles that guide your research designs and practices. These principles include voluntary participation, informed consent, anonymity, confidentiality, potential for harm, and results communication.

Scientists and researchers must always adhere to a certain code of conduct when collecting data from others .

These considerations protect the rights of research participants, enhance research validity , and maintain scientific integrity.

A systematic review is secondary research because it uses existing research. You don’t collect new data yourself.

The two main types of social desirability bias are:

• Self-deceptive enhancement (self-deception): The tendency to see oneself in a favorable light without realizing it.
• Impression managemen t (other-deception): The tendency to inflate one’s abilities or achievement in order to make a good impression on other people.

Demand characteristics are aspects of experiments that may give away the research objective to participants. Social desirability bias occurs when participants automatically try to respond in ways that make them seem likeable in a study, even if it means misrepresenting how they truly feel.

Participants may use demand characteristics to infer social norms or experimenter expectancies and act in socially desirable ways, so you should try to control for demand characteristics wherever possible.

Response bias refers to conditions or factors that take place during the process of responding to surveys, affecting the responses. One type of response bias is social desirability bias .

When your population is large in size, geographically dispersed, or difficult to contact, it’s necessary to use a sampling method .

This allows you to gather information from a smaller part of the population, i.e. the sample, and make accurate statements by using statistical analysis. A few sampling methods include simple random sampling , convenience sampling , and snowball sampling .

Stratified and cluster sampling may look similar, but bear in mind that groups created in cluster sampling are heterogeneous , so the individual characteristics in the cluster vary. In contrast, groups created in stratified sampling are homogeneous , as units share characteristics.

Relatedly, in cluster sampling you randomly select entire groups and include all units of each group in your sample. However, in stratified sampling, you select some units of all groups and include them in your sample. In this way, both methods can ensure that your sample is representative of the target population .

A sampling frame is a list of every member in the entire population . It is important that the sampling frame is as complete as possible, so that your sample accurately reflects your population.

Convenience sampling and quota sampling are both non-probability sampling methods. They both use non-random criteria like availability, geographical proximity, or expert knowledge to recruit study participants.

However, in convenience sampling, you continue to sample units or cases until you reach the required sample size.

In quota sampling, you first need to divide your population of interest into subgroups (strata) and estimate their proportions (quota) in the population. Then you can start your data collection , using convenience sampling to recruit participants, until the proportions in each subgroup coincide with the estimated proportions in the population.

Random sampling or probability sampling is based on random selection. This means that each unit has an equal chance (i.e., equal probability) of being included in the sample.

On the other hand, convenience sampling involves stopping people at random, which means that not everyone has an equal chance of being selected depending on the place, time, or day you are collecting your data.

Stratified sampling and quota sampling both involve dividing the population into subgroups and selecting units from each subgroup. The purpose in both cases is to select a representative sample and/or to allow comparisons between subgroups.

The main difference is that in stratified sampling, you draw a random sample from each subgroup ( probability sampling ). In quota sampling you select a predetermined number or proportion of units, in a non-random manner ( non-probability sampling ).

Snowball sampling is best used in the following cases:

• If there is no sampling frame available (e.g., people with a rare disease)
• If the population of interest is hard to access or locate (e.g., people experiencing homelessness)
• If the research focuses on a sensitive topic (e.g., extra-marital affairs)

Snowball sampling relies on the use of referrals. Here, the researcher recruits one or more initial participants, who then recruit the next ones. 

Participants share similar characteristics and/or know each other. Because of this, not every member of the population has an equal chance of being included in the sample, giving rise to sampling bias .

Snowball sampling is a non-probability sampling method , where there is not an equal chance for every member of the population to be included in the sample .

This means that you cannot use inferential statistics and make generalisations – often the goal of quantitative research . As such, a snowball sample is not representative of the target population, and is usually a better fit for qualitative research .

Snowball sampling is a non-probability sampling method . Unlike probability sampling (which involves some form of random selection ), the initial individuals selected to be studied are the ones who recruit new participants.

Because not every member of the target population has an equal chance of being recruited into the sample, selection in snowball sampling is non-random.

Reproducibility and replicability are related terms.

• Reproducing research entails reanalysing the existing data in the same manner.
• Replicating (or repeating ) the research entails reconducting the entire analysis, including the collection of new data . 
• A successful reproduction shows that the data analyses were conducted in a fair and honest manner.
• A successful replication shows that the reliability of the results is high.

The reproducibility and replicability of a study can be ensured by writing a transparent, detailed method section and using clear, unambiguous language.

Convergent validity and discriminant validity are both subtypes of construct validity . Together, they help you evaluate whether a test measures the concept it was designed to measure.

• Convergent validity indicates whether a test that is designed to measure a particular construct correlates with other tests that assess the same or similar construct.
• Discriminant validity indicates whether two tests that should not be highly related to each other are indeed not related

You need to assess both in order to demonstrate construct validity. Neither one alone is sufficient for establishing construct validity.

Construct validity has convergent and discriminant subtypes. They assist determine if a test measures the intended notion.

Content validity shows you how accurately a test or other measurement method taps  into the various aspects of the specific construct you are researching.

In other words, it helps you answer the question: “does the test measure all aspects of the construct I want to measure?” If it does, then the test has high content validity.

The higher the content validity, the more accurate the measurement of the construct.

If the test fails to include parts of the construct, or irrelevant parts are included, the validity of the instrument is threatened, which brings your results into question.

Construct validity refers to how well a test measures the concept (or construct) it was designed to measure. Assessing construct validity is especially important when you’re researching concepts that can’t be quantified and/or are intangible, like introversion. To ensure construct validity your test should be based on known indicators of introversion ( operationalisation ).

On the other hand, content validity assesses how well the test represents all aspects of the construct. If some aspects are missing or irrelevant parts are included, the test has low content validity.

Face validity and content validity are similar in that they both evaluate how suitable the content of a test is. The difference is that face validity is subjective, and assesses content at surface level.

When a test has strong face validity, anyone would agree that the test’s questions appear to measure what they are intended to measure.

For example, looking at a 4th grade math test consisting of problems in which students have to add and multiply, most people would agree that it has strong face validity (i.e., it looks like a math test).

On the other hand, content validity evaluates how well a test represents all the aspects of a topic. Assessing content validity is more systematic and relies on expert evaluation. of each question, analysing whether each one covers the aspects that the test was designed to cover.

A 4th grade math test would have high content validity if it covered all the skills taught in that grade. Experts(in this case, math teachers), would have to evaluate the content validity by comparing the test to the learning objectives.

• Discriminant validity indicates whether two tests that should not be highly related to each other are indeed not related. This type of validity is also called divergent validity .

Criterion validity and construct validity are both types of measurement validity . In other words, they both show you how accurately a method measures something.

While construct validity is the degree to which a test or other measurement method measures what it claims to measure, criterion validity is the degree to which a test can predictively (in the future) or concurrently (in the present) measure something.

Construct validity is often considered the overarching type of measurement validity . You need to have face validity , content validity , and criterion validity in order to achieve construct validity.

Attrition refers to participants leaving a study. It always happens to some extent – for example, in randomised control trials for medical research.

Differential attrition occurs when attrition or dropout rates differ systematically between the intervention and the control group . As a result, the characteristics of the participants who drop out differ from the characteristics of those who stay in the study. Because of this, study results may be biased .

Criterion validity evaluates how well a test measures the outcome it was designed to measure. An outcome can be, for example, the onset of a disease.

Criterion validity consists of two subtypes depending on the time at which the two measures (the criterion and your test) are obtained:

• Concurrent validity is a validation strategy where the the scores of a test and the criterion are obtained at the same time
• Predictive validity is a validation strategy where the criterion variables are measured after the scores of the test

Validity tells you how accurately a method measures what it was designed to measure. There are 4 main types of validity :

• Construct validity : Does the test measure the construct it was designed to measure?
• Face validity : Does the test appear to be suitable for its objectives ?
• Content validity : Does the test cover all relevant parts of the construct it aims to measure.
• Criterion validity : Do the results accurately measure the concrete outcome they are designed to measure?

Convergent validity shows how much a measure of one construct aligns with other measures of the same or related constructs .

On the other hand, concurrent validity is about how a measure matches up to some known criterion or gold standard, which can be another measure.

Although both types of validity are established by calculating the association or correlation between a test score and another variable , they represent distinct validation methods.

The purpose of theory-testing mode is to find evidence in order to disprove, refine, or support a theory. As such, generalisability is not the aim of theory-testing mode.

Due to this, the priority of researchers in theory-testing mode is to eliminate alternative causes for relationships between variables . In other words, they prioritise internal validity over external validity , including ecological validity .

Inclusion and exclusion criteria are typically presented and discussed in the methodology section of your thesis or dissertation .

Inclusion and exclusion criteria are predominantly used in non-probability sampling . In purposive sampling and snowball sampling , restrictions apply as to who can be included in the sample .

Scope of research is determined at the beginning of your research process , prior to the data collection stage. Sometimes called “scope of study,” your scope delineates what will and will not be covered in your project. It helps you focus your work and your time, ensuring that you’ll be able to achieve your goals and outcomes.

Defining a scope can be very useful in any research project, from a research proposal to a thesis or dissertation . A scope is needed for all types of research: quantitative , qualitative , and mixed methods .

To define your scope of research, consider the following:

• Budget constraints or any specifics of grant funding
• Your proposed timeline and duration
• Specifics about your population of study, your proposed sample size , and the research methodology you’ll pursue
• Any inclusion and exclusion criteria
• Any anticipated control , extraneous , or confounding variables that could bias your research if not accounted for properly.

To make quantitative observations , you need to use instruments that are capable of measuring the quantity you want to observe. For example, you might use a ruler to measure the length of an object or a thermometer to measure its temperature.

Quantitative observations involve measuring or counting something and expressing the result in numerical form, while qualitative observations involve describing something in non-numerical terms, such as its appearance, texture, or color.

The Scribbr Reference Generator is developed using the open-source Citation Style Language (CSL) project and Frank Bennett’s citeproc-js . It’s the same technology used by dozens of other popular citation tools, including Mendeley and Zotero.

You can find all the citation styles and locales used in the Scribbr Reference Generator in our publicly accessible repository on Github .

To paraphrase effectively, don’t just take the original sentence and swap out some of the words for synonyms. Instead, try:

• Reformulating the sentence (e.g., change active to passive , or start from a different point)
• Combining information from multiple sentences into one
• Leaving out information from the original that isn’t relevant to your point
• Using synonyms where they don’t distort the meaning

The main point is to ensure you don’t just copy the structure of the original text, but instead reformulate the idea in your own words.

Plagiarism means using someone else’s words or ideas and passing them off as your own. Paraphrasing means putting someone else’s ideas into your own words.

So when does paraphrasing count as plagiarism?

• Paraphrasing is plagiarism if you don’t properly credit the original author.
• Paraphrasing is plagiarism if your text is too close to the original wording (even if you cite the source). If you directly copy a sentence or phrase, you should quote it instead.
• Paraphrasing  is not plagiarism if you put the author’s ideas completely into your own words and properly reference the source .

To present information from other sources in academic writing , it’s best to paraphrase in most cases. This shows that you’ve understood the ideas you’re discussing and incorporates them into your text smoothly.

It’s appropriate to quote when:

• Changing the phrasing would distort the meaning of the original text
• You want to discuss the author’s language choices (e.g., in literary analysis )
• You’re presenting a precise definition
• You’re looking in depth at a specific claim

A quote is an exact copy of someone else’s words, usually enclosed in quotation marks and credited to the original author or speaker.

Every time you quote a source , you must include a correctly formatted in-text citation . This looks slightly different depending on the citation style .

For example, a direct quote in APA is cited like this: ‘This is a quote’ (Streefkerk, 2020, p. 5).

Every in-text citation should also correspond to a full reference at the end of your paper.

In scientific subjects, the information itself is more important than how it was expressed, so quoting should generally be kept to a minimum. In the arts and humanities, however, well-chosen quotes are often essential to a good paper.

In social sciences, it varies. If your research is mainly quantitative , you won’t include many quotes, but if it’s more qualitative , you may need to quote from the data you collected .

As a general guideline, quotes should take up no more than 5–10% of your paper. If in doubt, check with your instructor or supervisor how much quoting is appropriate in your field.

If you’re quoting from a text that paraphrases or summarises other sources and cites them in parentheses , APA  recommends retaining the citations as part of the quote:

• Smith states that ‘the literature on this topic (Jones, 2015; Sill, 2019; Paulson, 2020) shows no clear consensus’ (Smith, 2019, p. 4).

Footnote or endnote numbers that appear within quoted text should be omitted.

If you want to cite an indirect source (one you’ve only seen quoted in another source), either locate the original source or use the phrase ‘as cited in’ in your citation.

A block quote is a long quote formatted as a separate ‘block’ of text. Instead of using quotation marks , you place the quote on a new line, and indent the entire quote to mark it apart from your own words.

APA uses block quotes for quotes that are 40 words or longer.

A credible source should pass the CRAAP test  and follow these guidelines:

• The information should be up to date and current.
• The author and publication should be a trusted authority on the subject you are researching.
• The sources the author cited should be easy to find, clear, and unbiased.
• For a web source, the URL and layout should signify that it is trustworthy.

Common examples of primary sources include interview transcripts , photographs, novels, paintings, films, historical documents, and official statistics.

Anything you directly analyze or use as first-hand evidence can be a primary source, including qualitative or quantitative data that you collected yourself.

Common examples of secondary sources include academic books, journal articles , reviews, essays , and textbooks.

Anything that summarizes, evaluates or interprets primary sources can be a secondary source. If a source gives you an overview of background information or presents another researcher’s ideas on your topic, it is probably a secondary source.

To determine if a source is primary or secondary, ask yourself:

• Was the source created by someone directly involved in the events you’re studying (primary), or by another researcher (secondary)?
• Does the source provide original information (primary), or does it summarize information from other sources (secondary)?
• Are you directly analyzing the source itself (primary), or only using it for background information (secondary)?

Some types of sources are nearly always primary: works of art and literature, raw statistical data, official documents and records, and personal communications (e.g. letters, interviews ). If you use one of these in your research, it is probably a primary source.

Primary sources are often considered the most credible in terms of providing evidence for your argument, as they give you direct evidence of what you are researching. However, it’s up to you to ensure the information they provide is reliable and accurate.

Always make sure to properly cite your sources to avoid plagiarism .

A fictional movie is usually a primary source. A documentary can be either primary or secondary depending on the context.

If you are directly analysing some aspect of the movie itself – for example, the cinematography, narrative techniques, or social context – the movie is a primary source.

If you use the movie for background information or analysis about your topic – for example, to learn about a historical event or a scientific discovery – the movie is a secondary source.

Whether it’s primary or secondary, always properly cite the movie in the citation style you are using. Learn how to create an MLA movie citation or an APA movie citation .

Articles in newspapers and magazines can be primary or secondary depending on the focus of your research.

In historical studies, old articles are used as primary sources that give direct evidence about the time period. In social and communication studies, articles are used as primary sources to analyse language and social relations (for example, by conducting content analysis or discourse analysis ).

If you are not analysing the article itself, but only using it for background information or facts about your topic, then the article is a secondary source.

In academic writing , there are three main situations where quoting is the best choice:

• To analyse the author’s language (e.g., in a literary analysis essay )
• To give evidence from primary sources
• To accurately present a precise definition or argument

Don’t overuse quotes; your own voice should be dominant. If you just want to provide information from a source, it’s usually better to paraphrase or summarise .

Your list of tables and figures should go directly after your table of contents in your thesis or dissertation.

Lists of figures and tables are often not required, and they aren’t particularly common. They specifically aren’t required for APA Style, though you should be careful to follow their other guidelines for figures and tables .

If you have many figures and tables in your thesis or dissertation, include one may help you stay organised. Your educational institution may require them, so be sure to check their guidelines.

Copyright information can usually be found wherever the table or figure was published. For example, for a diagram in a journal article , look on the journal’s website or the database where you found the article. Images found on sites like Flickr are listed with clear copyright information.

If you find that permission is required to reproduce the material, be sure to contact the author or publisher and ask for it.

A list of figures and tables compiles all of the figures and tables that you used in your thesis or dissertation and displays them with the page number where they can be found.

APA doesn’t require you to include a list of tables or a list of figures . However, it is advisable to do so if your text is long enough to feature a table of contents and it includes a lot of tables and/or figures .

A list of tables and list of figures appear (in that order) after your table of contents, and are presented in a similar way.

A glossary is a collection of words pertaining to a specific topic. In your thesis or dissertation, it’s a list of all terms you used that may not immediately be obvious to your reader. Your glossary only needs to include terms that your reader may not be familiar with, and is intended to enhance their understanding of your work.

Definitional terms often fall into the category of common knowledge , meaning that they don’t necessarily have to be cited. This guidance can apply to your thesis or dissertation glossary as well.

However, if you’d prefer to cite your sources , you can follow guidance for citing dictionary entries in MLA or APA style for your glossary.

A glossary is a collection of words pertaining to a specific topic. In your thesis or dissertation, it’s a list of all terms you used that may not immediately be obvious to your reader. In contrast, an index is a list of the contents of your work organised by page number.

Glossaries are not mandatory, but if you use a lot of technical or field-specific terms, it may improve readability to add one to your thesis or dissertation. Your educational institution may also require them, so be sure to check their specific guidelines.

A glossary is a collection of words pertaining to a specific topic. In your thesis or dissertation, it’s a list of all terms you used that may not immediately be obvious to your reader. In contrast, dictionaries are more general collections of words.

The title page of your thesis or dissertation should include your name, department, institution, degree program, and submission date.

The title page of your thesis or dissertation goes first, before all other content or lists that you may choose to include.

Usually, no title page is needed in an MLA paper . A header is generally included at the top of the first page instead. The exceptions are when:

• Your instructor requires one, or
• Your paper is a group project

In those cases, you should use a title page instead of a header, listing the same information but on a separate page.

When you mention different chapters within your text, it’s considered best to use Roman numerals for most citation styles. However, the most important thing here is to remain consistent whenever using numbers in your dissertation .

A thesis or dissertation outline is one of the most critical first steps in your writing process. It helps you to lay out and organise your ideas and can provide you with a roadmap for deciding what kind of research you’d like to undertake.

Generally, an outline contains information on the different sections included in your thesis or dissertation, such as:

• Your anticipated title
• Your abstract
• Your chapters (sometimes subdivided into further topics like literature review, research methods, avenues for future research, etc.)

While a theoretical framework describes the theoretical underpinnings of your work based on existing research, a conceptual framework allows you to draw your own conclusions, mapping out the variables you may use in your study and the interplay between them.

A literature review and a theoretical framework are not the same thing and cannot be used interchangeably. While a theoretical framework describes the theoretical underpinnings of your work, a literature review critically evaluates existing research relating to your topic. You’ll likely need both in your dissertation .

A theoretical framework can sometimes be integrated into a  literature review chapter , but it can also be included as its own chapter or section in your dissertation . As a rule of thumb, if your research involves dealing with a lot of complex theories, it’s a good idea to include a separate theoretical framework chapter.

An abstract is a concise summary of an academic text (such as a journal article or dissertation ). It serves two main purposes:

• To help potential readers determine the relevance of your paper for their own research.
• To communicate your key findings to those who don’t have time to read the whole paper.

Abstracts are often indexed along with keywords on academic databases, so they make your work more easily findable. Since the abstract is the first thing any reader sees, it’s important that it clearly and accurately summarises the contents of your paper.

The abstract is the very last thing you write. You should only write it after your research is complete, so that you can accurately summarize the entirety of your thesis or paper.

Avoid citing sources in your abstract . There are two reasons for this:

• The abstract should focus on your original research, not on the work of others.
• The abstract should be self-contained and fully understandable without reference to other sources.

There are some circumstances where you might need to mention other sources in an abstract: for example, if your research responds directly to another study or focuses on the work of a single theorist. In general, though, don’t include citations unless absolutely necessary.

The abstract appears on its own page, after the title page and acknowledgements but before the table of contents .

Results are usually written in the past tense , because they are describing the outcome of completed actions.

The results chapter or section simply and objectively reports what you found, without speculating on why you found these results. The discussion interprets the meaning of the results, puts them in context, and explains why they matter.

In qualitative research , results and discussion are sometimes combined. But in quantitative research , it’s considered important to separate the objective results from your interpretation of them.

Formulating a main research question can be a difficult task. Overall, your question should contribute to solving the problem that you have defined in your problem statement .

However, it should also fulfill criteria in three main areas:

• Researchability
• Feasibility and specificity
• Relevance and originality

The best way to remember the difference between a research plan and a research proposal is that they have fundamentally different audiences. A research plan helps you, the researcher, organize your thoughts. On the other hand, a dissertation proposal or research proposal aims to convince others (e.g., a supervisor, a funding body, or a dissertation committee) that your research topic is relevant and worthy of being conducted.

A noun is a word that represents a person, thing, concept, or place (e.g., ‘John’, ‘house’, ‘affinity’, ‘river’). Most sentences contain at least one noun or pronoun .

Nouns are often, but not always, preceded by an article (‘the’, ‘a’, or ‘an’) and/or another determiner such as an adjective.

There are many ways to categorize nouns into various types, and the same noun can fall into multiple categories or even change types depending on context.

Some of the main types of nouns are:

• Common nouns and proper nouns
• Countable and uncountable nouns
• Concrete and abstract nouns
• Collective nouns
• Possessive nouns
• Attributive nouns
• Appositive nouns
• Generic nouns

Pronouns are words like ‘I’, ‘she’, and ‘they’ that are used in a similar way to nouns . They stand in for a noun that has already been mentioned or refer to yourself and other people.

Pronouns can function just like nouns as the head of a noun phrase and as the subject or object of a verb. However, pronouns change their forms (e.g., from ‘I’ to ‘me’) depending on the grammatical context they’re used in, whereas nouns usually don’t.

Common nouns are words for types of things, people, and places, such as ‘dog’, ‘professor’, and ‘city’. They are not capitalised and are typically used in combination with articles and other determiners.

Proper nouns are words for specific things, people, and places, such as ‘Max’, ‘Dr Prakash’, and ‘London’. They are always capitalised and usually aren’t combined with articles and other determiners.

A proper adjective is an adjective that was derived from a proper noun and is therefore capitalised .

Proper adjectives include words for nationalities, languages, and ethnicities (e.g., ‘Japanese’, ‘Inuit’, ‘French’) and words derived from people’s names (e.g., ‘Bayesian’, ‘Orwellian’).

The names of seasons (e.g., ‘spring’) are treated as common nouns in English and therefore not capitalised . People often assume they are proper nouns, but this is an error.

The names of days and months, however, are capitalised since they’re treated as proper nouns in English (e.g., ‘Wednesday’, ‘January’).

No, as a general rule, academic concepts, disciplines, theories, models, etc. are treated as common nouns , not proper nouns , and therefore not capitalised . For example, ‘five-factor model of personality’ or ‘analytic philosophy’.

However, proper nouns that appear within the name of an academic concept (such as the name of the inventor) are capitalised as usual. For example, ‘Darwin’s theory of evolution’ or ‘ Student’s t table ‘.

Collective nouns are most commonly treated as singular (e.g., ‘the herd is grazing’), but usage differs between US and UK English :

• In US English, it’s standard to treat all collective nouns as singular, even when they are plural in appearance (e.g., ‘The Rolling Stones is …’). Using the plural form is usually seen as incorrect.
• In UK English, collective nouns can be treated as singular or plural depending on context. It’s quite common to use the plural form, especially when the noun looks plural (e.g., ‘The Rolling Stones are …’).

The plural of “crisis” is “crises”. It’s a loanword from Latin and retains its original Latin plural noun form (similar to “analyses” and “bases”). It’s wrong to write “crisises”.

For example, you might write “Several crises destabilized the regime.”

Normally, the plural of “fish” is the same as the singular: “fish”. It’s one of a group of irregular plural nouns in English that are identical to the corresponding singular nouns (e.g., “moose”, “sheep”). For example, you might write “The fish scatter as the shark approaches.”

If you’re referring to several species of fish, though, the regular plural “fishes” is often used instead. For example, “The aquarium contains many different fishes , including trout and carp.”

The correct plural of “octopus” is “octopuses”.

People often write “octopi” instead because they assume that the plural noun is formed in the same way as Latin loanwords such as “fungus/fungi”. But “octopus” actually comes from Greek, where its original plural is “octopodes”. In English, it instead has the regular plural form “octopuses”.

For example, you might write “There are four octopuses in the aquarium.”

The plural of “moose” is the same as the singular: “moose”. It’s one of a group of plural nouns in English that are identical to the corresponding singular nouns. So it’s wrong to write “mooses”.

For example, you might write “There are several moose in the forest.”

Bias in research affects the validity and reliability of your findings, leading to false conclusions and a misinterpretation of the truth. This can have serious implications in areas like medical research where, for example, a new form of treatment may be evaluated.

Observer bias occurs when the researcher’s assumptions, views, or preconceptions influence what they see and record in a study, while actor–observer bias refers to situations where respondents attribute internal factors (e.g., bad character) to justify other’s behaviour and external factors (difficult circumstances) to justify the same behaviour in themselves.

Response bias is a general term used to describe a number of different conditions or factors that cue respondents to provide inaccurate or false answers during surveys or interviews . These factors range from the interviewer’s perceived social position or appearance to the the phrasing of questions in surveys.

Nonresponse bias occurs when the people who complete a survey are different from those who did not, in ways that are relevant to the research topic. Nonresponse can happen either because people are not willing or not able to participate.

In research, demand characteristics are cues that might indicate the aim of a study to participants. These cues can lead to participants changing their behaviors or responses based on what they think the research is about.

Demand characteristics are common problems in psychology experiments and other social science studies because they can bias your research findings.

Demand characteristics are a type of extraneous variable that can affect the outcomes of the study. They can invalidate studies by providing an alternative explanation for the results.

These cues may nudge participants to consciously or unconsciously change their responses, and they pose a threat to both internal and external validity . You can’t be sure that your independent variable manipulation worked, or that your findings can be applied to other people or settings.

You can control demand characteristics by taking a few precautions in your research design and materials.

Use these measures:

• Deception: Hide the purpose of the study from participants
• Between-groups design : Give each participant only one independent variable treatment
• Double-blind design : Conceal the assignment of groups from participants and yourself
• Implicit measures: Use indirect or hidden measurements for your variables

Some attrition is normal and to be expected in research. However, the type of attrition is important because systematic research bias can distort your findings. Attrition bias can lead to inaccurate results because it affects internal and/or external validity .

To avoid attrition bias , applying some of these measures can help you reduce participant dropout (attrition) by making it easy and appealing for participants to stay.

• Provide compensation (e.g., cash or gift cards) for attending every session
• Minimise the number of follow-ups as much as possible
• Make all follow-ups brief, flexible, and convenient for participants
• Send participants routine reminders to schedule follow-ups
• Recruit more participants than you need for your sample (oversample)
• Maintain detailed contact information so you can get in touch with participants even if they move

If you have a small amount of attrition bias , you can use a few statistical methods to try to make up for this research bias .

Multiple imputation involves using simulations to replace the missing data with likely values. Alternatively, you can use sample weighting to make up for the uneven balance of participants in your sample.

Placebos are used in medical research for new medication or therapies, called clinical trials. In these trials some people are given a placebo, while others are given the new medication being tested.

The purpose is to determine how effective the new medication is: if it benefits people beyond a predefined threshold as compared to the placebo, it’s considered effective.

Although there is no definite answer to what causes the placebo effect , researchers propose a number of explanations such as the power of suggestion, doctor-patient interaction, classical conditioning, etc.

Belief bias and confirmation bias are both types of cognitive bias that impact our judgment and decision-making.

Confirmation bias relates to how we perceive and judge evidence. We tend to seek out and prefer information that supports our preexisting beliefs, ignoring any information that contradicts those beliefs.

Belief bias describes the tendency to judge an argument based on how plausible the conclusion seems to us, rather than how much evidence is provided to support it during the course of the argument.

Positivity bias is phenomenon that occurs when a person judges individual members of a group positively, even when they have negative impressions or judgments of the group as a whole. Positivity bias is closely related to optimism bias , or the e xpectation that things will work out well, even if rationality suggests that problems are inevitable in life.

Perception bias is a problem because it prevents us from seeing situations or people objectively. Rather, our expectations, beliefs, or emotions interfere with how we interpret reality. This, in turn, can cause us to misjudge ourselves or others. For example, our prejudices can interfere with whether we perceive people’s faces as friendly or unfriendly.

There are many ways to categorize adjectives into various types. An adjective can fall into one or more of these categories depending on how it is used.

Some of the main types of adjectives are:

• Attributive adjectives
• Predicative adjectives
• Comparative adjectives
• Superlative adjectives
• Coordinate adjectives
• Appositive adjectives
• Compound adjectives
• Participial adjectives
• Proper adjectives
• Denominal adjectives
• Nominal adjectives

Cardinal numbers (e.g., one, two, three) can be placed before a noun to indicate quantity (e.g., one apple). While these are sometimes referred to as ‘numeral adjectives ‘, they are more accurately categorised as determiners or quantifiers.

Proper adjectives are adjectives formed from a proper noun (i.e., the name of a specific person, place, or thing) that are used to indicate origin. Like proper nouns, proper adjectives are always capitalised (e.g., Newtonian, Marxian, African).

The cost of proofreading depends on the type and length of text, the turnaround time, and the level of services required. Most proofreading companies charge per word or page, while freelancers sometimes charge an hourly rate.

For proofreading alone, which involves only basic corrections of typos and formatting mistakes, you might pay as little as £0.01 per word, but in many cases, your text will also require some level of editing , which costs slightly more.

It’s often possible to purchase combined proofreading and editing services and calculate the price in advance based on your requirements.

Then and than are two commonly confused words . In the context of ‘better than’, you use ‘than’ with an ‘a’.

• Julie is better than Jesse.
• I’d rather spend my time with you than with him.
• I understand Eoghan’s point of view better than Claudia’s.

Use to and used to are commonly confused words . In the case of ‘used to do’, the latter (with ‘d’) is correct, since you’re describing an action or state in the past.

• I used to do laundry once a week.
• They used to do each other’s hair.
• We used to do the dishes every day .

There are numerous synonyms and near synonyms for the various meanings of “ favour ”:

There are numerous synonyms and near synonyms for the two meanings of “ favoured ”:

No one (two words) is an indefinite pronoun meaning ‘nobody’. People sometimes mistakenly write ‘noone’, but this is incorrect and should be avoided. ‘No-one’, with a hyphen, is also acceptable in UK English .

Nobody and no one are both indefinite pronouns meaning ‘no person’. They can be used interchangeably (e.g., ‘nobody is home’ means the same as ‘no one is home’).

Some synonyms and near synonyms of  every time include:

• Without exception

‘Everytime’ is sometimes used to mean ‘each time’ or ‘whenever’. However, this is incorrect and should be avoided. The correct phrase is every time   (two words).

Yes, the conjunction because is a compound word , but one with a long history. It originates in Middle English from the preposition “bi” (“by”) and the noun “cause”. Over time, the open compound “bi cause” became the closed compound “because”, which we use today.

Though it’s spelled this way now, the verb “be” is not one of the words that makes up “because”.

Yes, today is a compound word , but a very old one. It wasn’t originally formed from the preposition “to” and the noun “day”; rather, it originates from their Old English equivalents, “tō” and “dæġe”.

In the past, it was sometimes written as a hyphenated compound: “to-day”. But the hyphen is no longer included; it’s always “today” now (“to day” is also wrong).

IEEE citation format is defined by the Institute of Electrical and Electronics Engineers and used in their publications.

It’s also a widely used citation style for students in technical fields like electrical and electronic engineering, computer science, telecommunications, and computer engineering.

An IEEE in-text citation consists of a number in brackets at the relevant point in the text, which points the reader to the right entry in the numbered reference list at the end of the paper. For example, ‘Smith [1] states that …’

A location marker such as a page number is also included within the brackets when needed: ‘Smith [1, p. 13] argues …’

The IEEE reference page consists of a list of references numbered in the order they were cited in the text. The title ‘References’ appears in bold at the top, either left-aligned or centered.

The numbers appear in square brackets on the left-hand side of the page. The reference entries are indented consistently to separate them from the numbers. Entries are single-spaced, with a normal paragraph break between them.

If you cite the same source more than once in your writing, use the same number for all of the IEEE in-text citations for that source, and only include it on the IEEE reference page once. The source is numbered based on the first time you cite it.

For example, the fourth source you cite in your paper is numbered [4]. If you cite it again later, you still cite it as [4]. You can cite different parts of the source each time by adding page numbers [4, p. 15].

A verb is a word that indicates a physical action (e.g., ‘drive’), a mental action (e.g., ‘think’) or a state of being (e.g., ‘exist’). Every sentence contains a verb.

Verbs are almost always used along with a noun or pronoun to describe what the noun or pronoun is doing.

There are many ways to categorize verbs into various types. A verb can fall into one or more of these categories depending on how it is used.

Some of the main types of verbs are:

• Regular verbs
• Irregular verbs
• Transitive verbs
• Intransitive verbs
• Dynamic verbs
• Stative verbs
• Linking verbs
• Auxiliary verbs
• Modal verbs
• Phrasal verbs

Regular verbs are verbs whose simple past and past participle are formed by adding the suffix ‘-ed’ (e.g., ‘walked’).

Irregular verbs are verbs that form their simple past and past participles in some way other than by adding the suffix ‘-ed’ (e.g., ‘sat’).

The indefinite articles a and an are used to refer to a general or unspecified version of a noun (e.g., a house). Which indefinite article you use depends on the pronunciation of the word that follows it.

• A is used for words that begin with a consonant sound (e.g., a bear).
• An is used for words that begin with a vowel sound (e.g., an eagle).

Indefinite articles can only be used with singular countable nouns . Like definite articles, they are a type of determiner .

Editing and proofreading are different steps in the process of revising a text.

Editing comes first, and can involve major changes to content, structure and language. The first stages of editing are often done by authors themselves, while a professional editor makes the final improvements to grammar and style (for example, by improving sentence structure and word choice ).

Proofreading is the final stage of checking a text before it is published or shared. It focuses on correcting minor errors and inconsistencies (for example, in punctuation and capitalization ). Proofreaders often also check for formatting issues, especially in print publishing.

Whether you’re publishing a blog, submitting a research paper , or even just writing an important email, there are a few techniques you can use to make sure it’s error-free:

• Take a break : Set your work aside for at least a few hours so that you can look at it with fresh eyes.
• Proofread a printout : Staring at a screen for too long can cause fatigue – sit down with a pen and paper to check the final version.
• Use digital shortcuts : Take note of any recurring mistakes (for example, misspelling a particular word, switching between US and UK English , or inconsistently capitalizing a term), and use Find and Replace to fix it throughout the document.

If you want to be confident that an important text is error-free, it might be worth choosing a professional proofreading service instead.

There are many different routes to becoming a professional proofreader or editor. The necessary qualifications depend on the field – to be an academic or scientific proofreader, for example, you will need at least a university degree in a relevant subject.

For most proofreading jobs, experience and demonstrated skills are more important than specific qualifications. Often your skills will be tested as part of the application process.

To learn practical proofreading skills, you can choose to take a course with a professional organisation such as the Society for Editors and Proofreaders . Alternatively, you can apply to companies that offer specialised on-the-job training programmes, such as the Scribbr Academy .

Though they’re pronounced the same, there’s a big difference in meaning between its and it’s .

• ‘The cat ate its food’.
• ‘It’s almost Christmas’.

Its and it’s are often confused, but its (without apostrophe) is the possessive form of ‘it’ (e.g., its tail, its argument, its wing). You use ‘its’ instead of ‘his’ and ‘her’ for neuter, inanimate nouns.

Then and than are two commonly confused words with different meanings and grammatical roles.

• Then (pronounced with a short ‘e’ sound) refers to time. It’s often an adverb , but it can also be used as a noun meaning ‘that time’ and as an adjective referring to a previous status.
• Than (pronounced with a short ‘a’ sound) is used for comparisons. Grammatically, it usually functions as a conjunction , but sometimes it’s a preposition .

Use to and used to are commonly confused words . In the case of ‘used to be’, the latter (with ‘d’) is correct, since you’re describing an action or state in the past.

• I used to be the new coworker.
• There used to be 4 cookies left.
• We used to walk to school every day .

A grammar checker is a tool designed to automatically check your text for spelling errors, grammatical issues, punctuation mistakes , and problems with sentence structure . You can check out our analysis of the best free grammar checkers to learn more.

A paraphrasing tool edits your text more actively, changing things whether they were grammatically incorrect or not. It can paraphrase your sentences to make them more concise and readable or for other purposes. You can check out our analysis of the best free paraphrasing tools to learn more.

Some tools available online combine both functions. Others, such as QuillBot , have separate grammar checker and paraphrasing tools. Be aware of what exactly the tool you’re using does to avoid introducing unwanted changes.

Good grammar is the key to expressing yourself clearly and fluently, especially in professional communication and academic writing . Word processors, browsers, and email programs typically have built-in grammar checkers, but they’re quite limited in the kinds of problems they can fix.

If you want to go beyond detecting basic spelling errors, there are many online grammar checkers with more advanced functionality. They can often detect issues with punctuation , word choice, and sentence structure that more basic tools would miss.

Not all of these tools are reliable, though. You can check out our research into the best free grammar checkers to explore the options.

Our research indicates that the best free grammar checker available online is the QuillBot grammar checker .

We tested 10 of the most popular checkers with the same sample text (containing 20 grammatical errors) and found that QuillBot easily outperformed the competition, scoring 18 out of 20, a drastic improvement over the second-place score of 13 out of 20.

It even appeared to outperform the premium versions of other grammar checkers, despite being entirely free.

A teacher’s aide is a person who assists in teaching classes but is not a qualified teacher. Aide is a noun meaning ‘assistant’, so it will always refer to a person.

‘Teacher’s aid’ is incorrect.

A visual aid is an instructional device (e.g., a photo, a chart) that appeals to vision to help you understand written or spoken information. Aid is often placed after an attributive noun or adjective (like ‘visual’) that describes the type of help provided.

‘Visual aide’ is incorrect.

A job aid is an instructional tool (e.g., a checklist, a cheat sheet) that helps you work efficiently. Aid is a noun meaning ‘assistance’. It’s often placed after an adjective or attributive noun (like ‘job’) that describes the specific type of help provided.

‘Job aide’ is incorrect.

There are numerous synonyms for the various meanings of truly :

Yours truly is a phrase used at the end of a formal letter or email. It can also be used (typically in a humorous way) as a pronoun to refer to oneself (e.g., ‘The dinner was cooked by yours truly ‘). The latter usage should be avoided in formal writing.

It’s formed by combining the second-person possessive pronoun ‘yours’ with the adverb ‘ truly ‘.

A pathetic fallacy can be a short phrase or a whole sentence and is often used in novels and poetry. Pathetic fallacies serve multiple purposes, such as:

• Conveying the emotional state of the characters or the narrator
• Creating an atmosphere or set the mood of a scene
• Foreshadowing events to come
• Giving texture and vividness to a piece of writing
• Communicating emotion to the reader in a subtle way, by describing the external world.
• Bringing inanimate objects to life so that they seem more relatable.

AMA citation format is a citation style designed by the American Medical Association. It’s frequently used in the field of medicine.

You may be told to use AMA style for your student papers. You will also have to follow this style if you’re submitting a paper to a journal published by the AMA.

An AMA in-text citation consists of the number of the relevant reference on your AMA reference page , written in superscript 1 at the point in the text where the source is used.

It may also include the page number or range of the relevant material in the source (e.g., the part you quoted 2(p46) ). Multiple sources can be cited at one point, presented as a range or list (with no spaces 3,5–9 ).

An AMA reference usually includes the author’s last name and initials, the title of the source, information about the publisher or the publication it’s contained in, and the publication date. The specific details included, and the formatting, depend on the source type.

References in AMA style are presented in numerical order (numbered by the order in which they were first cited in the text) on your reference page. A source that’s cited repeatedly in the text still only appears once on the reference page.

An AMA in-text citation just consists of the number of the relevant entry on your AMA reference page , written in superscript at the point in the text where the source is referred to.

You don’t need to mention the author of the source in your sentence, but you can do so if you want. It’s not an official part of the citation, but it can be useful as part of a signal phrase introducing the source.

On your AMA reference page , author names are written with the last name first, followed by the initial(s) of their first name and middle name if mentioned.

There’s a space between the last name and the initials, but no space or punctuation between the initials themselves. The names of multiple authors are separated by commas , and the whole list ends in a period, e.g., ‘Andreessen F, Smith PW, Gonzalez E’.

The names of up to six authors should be listed for each source on your AMA reference page , separated by commas . For a source with seven or more authors, you should list the first three followed by ‘ et al’ : ‘Isidore, Gilbert, Gunvor, et al’.

In the text, mentioning author names is optional (as they aren’t an official part of AMA in-text citations ). If you do mention them, though, you should use the first author’s name followed by ‘et al’ when there are three or more : ‘Isidore et al argue that …’

Note that according to AMA’s rather minimalistic punctuation guidelines, there’s no period after ‘et al’ unless it appears at the end of a sentence. This is different from most other styles, where there is normally a period.

Yes, you should normally include an access date in an AMA website citation (or when citing any source with a URL). This is because webpages can change their content over time, so it’s useful for the reader to know when you accessed the page.

When a publication or update date is provided on the page, you should include it in addition to the access date. The access date appears second in this case, e.g., ‘Published June 19, 2021. Accessed August 29, 2022.’

Don’t include an access date when citing a source with a DOI (such as in an AMA journal article citation ).

Some variables have fixed levels. For example, gender and ethnicity are always nominal level data because they cannot be ranked.

However, for other variables, you can choose the level of measurement . For example, income is a variable that can be recorded on an ordinal or a ratio scale:

• At an ordinal level , you could create 5 income groupings and code the incomes that fall within them from 1–5.
• At a ratio level , you would record exact numbers for income.

If you have a choice, the ratio level is always preferable because you can analyse data in more ways. The higher the level of measurement, the more precise your data is.

The level at which you measure a variable determines how you can analyse your data.

Depending on the level of measurement , you can perform different descriptive statistics to get an overall summary of your data and inferential statistics to see if your results support or refute your hypothesis .

Levels of measurement tell you how precisely variables are recorded. There are 4 levels of measurement, which can be ranked from low to high:

• Nominal : the data can only be categorised.
• Ordinal : the data can be categorised and ranked.
• Interval : the data can be categorised and ranked, and evenly spaced.
• Ratio : the data can be categorised, ranked, evenly spaced and has a natural zero.

Statistical analysis is the main method for analyzing quantitative research data . It uses probabilities and models to test predictions about a population from sample data.

The null hypothesis is often abbreviated as H 0 . When the null hypothesis is written using mathematical symbols, it always includes an equality symbol (usually =, but sometimes ≥ or ≤).

The alternative hypothesis is often abbreviated as H a or H 1 . When the alternative hypothesis is written using mathematical symbols, it always includes an inequality symbol (usually ≠, but sometimes < or >).

As the degrees of freedom increase, Student’s t distribution becomes less leptokurtic , meaning that the probability of extreme values decreases. The distribution becomes more and more similar to a standard normal distribution .

When there are only one or two degrees of freedom , the chi-square distribution is shaped like a backwards ‘J’. When there are three or more degrees of freedom, the distribution is shaped like a right-skewed hump. As the degrees of freedom increase, the hump becomes less right-skewed and the peak of the hump moves to the right. The distribution becomes more and more similar to a normal distribution .

‘Looking forward in hearing from you’ is an incorrect version of the phrase looking forward to hearing from you . The phrasal verb ‘looking forward to’ always needs the preposition ‘to’, not ‘in’.

• I am looking forward in hearing from you.
• I am looking forward to hearing from you.

Some synonyms and near synonyms for the expression looking forward to hearing from you include:

• Eagerly awaiting your response
• Hoping to hear from you soon
• It would be great to hear back from you
• Thanks in advance for your reply

People sometimes mistakenly write ‘looking forward to hear from you’, but this is incorrect. The correct phrase is looking forward to hearing from you .

The phrasal verb ‘look forward to’ is always followed by a direct object, the thing you’re looking forward to. As the direct object has to be a noun phrase , it should be the gerund ‘hearing’, not the verb ‘hear’.

• I’m looking forward to hear from you soon.
• I’m looking forward to hearing from you soon.

Traditionally, the sign-off Yours sincerely is used in an email message or letter when you are writing to someone you have interacted with before, not a complete stranger.

Yours faithfully is used instead when you are writing to someone you have had no previous correspondence with, especially if you greeted them as ‘ Dear Sir or Madam ’.

Just checking in   is a standard phrase used to start an email (or other message) that’s intended to ask someone for a response or follow-up action in a friendly, informal way. However, it’s a cliché opening that can come across as passive-aggressive, so we recommend avoiding it in favor of a more direct opening like “We previously discussed …”

In a more personal context, you might encounter “just checking in” as part of a longer phrase such as “I’m just checking in to see how you’re doing”. In this case, it’s not asking the other person to do anything but rather asking about their well-being (emotional or physical) in a friendly way.

“Earliest convenience” is part of the phrase at your earliest convenience , meaning “as soon as you can”. 

It’s typically used to end an email in a formal context by asking the recipient to do something when it’s convenient for them to do so.

ASAP is an abbreviation of the phrase “as soon as possible”. 

It’s typically used to indicate a sense of urgency in highly informal contexts (e.g., “Let me know ASAP if you need me to drive you to the airport”).

“ASAP” should be avoided in more formal correspondence. Instead, use an alternative like at your earliest convenience .

Some synonyms and near synonyms of the verb   compose   (meaning “to make up”) are:

People increasingly use “comprise” as a synonym of “compose.” However, this is normally still seen as a mistake, and we recommend avoiding it in your academic writing . “Comprise” traditionally means “to be made up of,” not “to make up.”

Some synonyms and near synonyms of the verb comprise are:

• Be composed of
• Be made up of

People increasingly use “comprise” interchangeably with “compose,” meaning that they consider words like “compose,” “constitute,” and “form” to be synonymous with “comprise.” However, this is still normally regarded as an error, and we advise against using these words interchangeably in academic writing .

A fallacy is a mistaken belief, particularly one based on unsound arguments or one that lacks the evidence to support it. Common types of fallacy that may compromise the quality of your research are:

• Correlation/causation fallacy: Claiming that two events that occur together have a cause-and-effect relationship even though this can’t be proven
• Ecological fallacy : Making inferences about the nature of individuals based on aggregate data for the group
• The sunk cost fallacy : Following through on a project or decision because we have already invested time, effort, or money into it, even if the current costs outweigh the benefits
• The base-rate fallacy : Ignoring base-rate or statistically significant information, such as sample size or the relative frequency of an event, in favor of  less relevant information e.g., pertaining to a single case, or a small number of cases
• The planning fallacy : Underestimating the time needed to complete a future task, even when we know that similar tasks in the past have taken longer than planned

The planning fallacy refers to people’s tendency to underestimate the resources needed to complete a future task, despite knowing that previous tasks have also taken longer than planned.

For example, people generally tend to underestimate the cost and time needed for construction projects. The planning fallacy occurs due to people’s tendency to overestimate the chances that positive events, such as a shortened timeline, will happen to them. This phenomenon is called optimism bias or positivity bias.

Although both red herring fallacy and straw man fallacy are logical fallacies or reasoning errors, they denote different attempts to “win” an argument. More specifically:

• A red herring fallacy refers to an attempt to change the subject and divert attention from the original issue. In other words, a seemingly solid but ultimately irrelevant argument is introduced into the discussion, either on purpose or by mistake.
• A straw man argument involves the deliberate distortion of another person’s argument. By oversimplifying or exaggerating it, the other party creates an easy-to-refute argument and then attacks it.

The red herring fallacy is a problem because it is flawed reasoning. It is a distraction device that causes people to become sidetracked from the main issue and draw wrong conclusions.

Although a red herring may have some kernel of truth, it is used as a distraction to keep our eyes on a different matter. As a result, it can cause us to accept and spread misleading information.

The sunk cost fallacy and escalation of commitment (or commitment bias ) are two closely related terms. However, there is a slight difference between them:

• Escalation of commitment (aka commitment bias ) is the tendency to be consistent with what we have already done or said we will do in the past, especially if we did so in public. In other words, it is an attempt to save face and appear consistent.
• Sunk cost fallacy is the tendency to stick with a decision or a plan even when it’s failing. Because we have already invested valuable time, money, or energy, quitting feels like these resources were wasted.

In other words, escalating commitment is a manifestation of the sunk cost fallacy: an irrational escalation of commitment frequently occurs when people refuse to accept that the resources they’ve already invested cannot be recovered. Instead, they insist on more spending to justify the initial investment (and the incurred losses).

When you are faced with a straw man argument , the best way to respond is to draw attention to the fallacy and ask your discussion partner to show how your original statement and their distorted version are the same. Since these are different, your partner will either have to admit that their argument is invalid or try to justify it by using more flawed reasoning, which you can then attack.

The straw man argument is a problem because it occurs when we fail to take an opposing point of view seriously. Instead, we intentionally misrepresent our opponent’s ideas and avoid genuinely engaging with them. Due to this, resorting to straw man fallacy lowers the standard of constructive debate.

A straw man argument is a distorted (and weaker) version of another person’s argument that can easily be refuted (e.g., when a teacher proposes that the class spend more time on math exercises, a parent complains that the teacher doesn’t care about reading and writing).

This is a straw man argument because it misrepresents the teacher’s position, which didn’t mention anything about cutting down on reading and writing. The straw man argument is also known as the straw man fallacy .

A slippery slope argument is not always a fallacy.

• When someone claims adopting a certain policy or taking a certain action will automatically lead to a series of other policies or actions also being taken, this is a slippery slope argument.
• If they don’t show a causal connection between the advocated policy and the consequent policies, then they commit a slippery slope fallacy .

There are a number of ways you can deal with slippery slope arguments especially when you suspect these are fallacious:

• Slippery slope arguments take advantage of the gray area between an initial action or decision and the possible next steps that might lead to the undesirable outcome. You can point out these missing steps and ask your partner to indicate what evidence exists to support the claimed relationship between two or more events.
• Ask yourself if each link in the chain of events or action is valid. Every proposition has to be true for the overall argument to work, so even if one link is irrational or not supported by evidence, then the argument collapses.
• Sometimes people commit a slippery slope fallacy unintentionally. In these instances, use an example that demonstrates the problem with slippery slope arguments in general (e.g., by using statements to reach a conclusion that is not necessarily relevant to the initial statement). By attacking the concept of slippery slope arguments you can show that they are often fallacious.

People sometimes confuse cognitive bias and logical fallacies because they both relate to flawed thinking. However, they are not the same:

• Cognitive bias is the tendency to make decisions or take action in an illogical way because of our values, memory, socialization, and other personal attributes. In other words, it refers to a fixed pattern of thinking rooted in the way our brain works.
• Logical fallacies relate to how we make claims and construct our arguments in the moment. They are statements that sound convincing at first but can be disproven through logical reasoning.

In other words, cognitive bias refers to an ongoing predisposition, while logical fallacy refers to mistakes of reasoning that occur in the moment.

An appeal to ignorance (ignorance here meaning lack of evidence) is a type of informal logical fallacy .

It asserts that something must be true because it hasn’t been proven false—or that something must be false because it has not yet been proven true.

For example, “unicorns exist because there is no evidence that they don’t.” The appeal to ignorance is also called the burden of proof fallacy .

An ad hominem (Latin for “to the person”) is a type of informal logical fallacy . Instead of arguing against a person’s position, an ad hominem argument attacks the person’s character or actions in an effort to discredit them.

This rhetorical strategy is fallacious because a person’s character, motive, education, or other personal trait is logically irrelevant to whether their argument is true or false.

Name-calling is common in ad hominem fallacy (e.g., “environmental activists are ineffective because they’re all lazy tree-huggers”).

Ad hominem is a persuasive technique where someone tries to undermine the opponent’s argument by personally attacking them.

In this way, one can redirect the discussion away from the main topic and to the opponent’s personality without engaging with their viewpoint. When the opponent’s personality is irrelevant to the discussion, we call it an ad hominem fallacy .

Ad hominem tu quoque (‘you too”) is an attempt to rebut a claim by attacking its proponent on the grounds that they uphold a double standard or that they don’t practice what they preach. For example, someone is telling you that you should drive slowly otherwise you’ll get a speeding ticket one of these days, and you reply “but you used to get them all the time!”

Argumentum ad hominem means “argument to the person” in Latin and it is commonly referred to as ad hominem argument or personal attack. Ad hominem arguments are used in debates to refute an argument by attacking the character of the person making it, instead of the logic or premise of the argument itself.

The opposite of the hasty generalization fallacy is called slothful induction fallacy or appeal to coincidence .

It is the tendency to deny a conclusion even though there is sufficient evidence that supports it. Slothful induction occurs due to our natural tendency to dismiss events or facts that do not align with our personal biases and expectations. For example, a researcher may try to explain away unexpected results by claiming it is just a coincidence.

To avoid a hasty generalization fallacy we need to ensure that the conclusions drawn are well-supported by the appropriate evidence. More specifically:

• In statistics , if we want to draw inferences about an entire population, we need to make sure that the sample is random and representative of the population . We can achieve that by using a probability sampling method , like simple random sampling or stratified sampling .
• In academic writing , use precise language and measured phases. Try to avoid making absolute claims, cite specific instances and examples without applying the findings to a larger group.
• As readers, we need to ask ourselves “does the writer demonstrate sufficient knowledge of the situation or phenomenon that would allow them to make a generalization?”

The hasty generalization fallacy and the anecdotal evidence fallacy are similar in that they both result in conclusions drawn from insufficient evidence. However, there is a difference between the two:

• The hasty generalization fallacy involves genuinely considering an example or case (i.e., the evidence comes first and then an incorrect conclusion is drawn from this).
• The anecdotal evidence fallacy (also known as “cherry-picking” ) is knowing in advance what conclusion we want to support, and then selecting the story (or a few stories) that support it. By overemphasizing anecdotal evidence that fits well with the point we are trying to make, we overlook evidence that would undermine our argument.

Although many sources use circular reasoning fallacy and begging the question interchangeably, others point out that there is a subtle difference between the two:

• Begging the question fallacy occurs when you assume that an argument is true in order to justify a conclusion. If something begs the question, what you are actually asking is, “Is the premise of that argument actually true?” For example, the statement “Snakes make great pets. That’s why we should get a snake” begs the question “are snakes really great pets?”
• Circular reasoning fallacy on the other hand, occurs when the evidence used to support a claim is just a repetition of the claim itself.  For example, “People have free will because they can choose what to do.”

In other words, we could say begging the question is a form of circular reasoning.

Circular reasoning fallacy uses circular reasoning to support an argument. More specifically, the evidence used to support a claim is just a repetition of the claim itself. For example: “The President of the United States is a good leader (claim), because they are the leader of this country (supporting evidence)”.

An example of a non sequitur is the following statement:

“Giving up nuclear weapons weakened the United States’ military. Giving up nuclear weapons also weakened China. For this reason, it is wrong to try to outlaw firearms in the United States today.”

Clearly there is a step missing in this line of reasoning and the conclusion does not follow from the premise, resulting in a non sequitur fallacy .

The difference between the post hoc fallacy and the non sequitur fallacy is that post hoc fallacy infers a causal connection between two events where none exists, whereas the non sequitur fallacy infers a conclusion that lacks a logical connection to the premise.

In other words, a post hoc fallacy occurs when there is a lack of a cause-and-effect relationship, while a non sequitur fallacy occurs when there is a lack of logical connection.

An example of post hoc fallacy is the following line of reasoning:

“Yesterday I had ice cream, and today I have a terrible stomachache. I’m sure the ice cream caused this.”

Although it is possible that the ice cream had something to do with the stomachache, there is no proof to justify the conclusion other than the order of events. Therefore, this line of reasoning is fallacious.

Post hoc fallacy and hasty generalisation fallacy are similar in that they both involve jumping to conclusions. However, there is a difference between the two:

• Post hoc fallacy is assuming a cause and effect relationship between two events, simply because one happened after the other.
• Hasty generalisation fallacy is drawing a general conclusion from a small sample or little evidence.

In other words, post hoc fallacy involves a leap to a causal claim; hasty generalisation fallacy involves a leap to a general proposition.

The fallacy of composition is similar to and can be confused with the hasty generalization fallacy . However, there is a difference between the two:

• The fallacy of composition involves drawing an inference about the characteristics of a whole or group based on the characteristics of its individual members.
• The hasty generalization fallacy involves drawing an inference about a population or class of things on the basis of few atypical instances or a small sample of that population or thing.

In other words, the fallacy of composition is using an unwarranted assumption that we can infer something about a whole based on the characteristics of its parts, while the hasty generalization fallacy is using insufficient evidence to draw a conclusion.

The opposite of the fallacy of composition is the fallacy of division . In the fallacy of division, the assumption is that a characteristic which applies to a whole or a group must necessarily apply to the parts or individual members. For example, “Australians travel a lot. Gary is Australian, so he must travel a lot.”

Base rate fallacy can be avoided by following these steps:

• Avoid making an important decision in haste. When we are under pressure, we are more likely to resort to cognitive shortcuts like the availability heuristic and the representativeness heuristic . Due to this, we are more likely to factor in only current and vivid information, and ignore the actual probability of something happening (i.e., base rate).
• Take a long-term view on the decision or question at hand. Look for relevant statistical data, which can reveal long-term trends and give you the full picture.
• Talk to experts like professionals. They are more aware of probabilities related to specific decisions.

Suppose there is a population consisting of 90% psychologists and 10% engineers. Given that you know someone enjoyed physics at school, you may conclude that they are an engineer rather than a psychologist, even though you know that this person comes from a population consisting of far more psychologists than engineers.

When we ignore the rate of occurrence of some trait in a population (the base-rate information) we commit base rate fallacy .

Cost-benefit fallacy is a common error that occurs when allocating sources in project management. It is the fallacy of assuming that cost-benefit estimates are more or less accurate, when in fact they are highly inaccurate and biased. This means that cost-benefit analyses can be useful, but only after the cost-benefit fallacy has been acknowledged and corrected for. Cost-benefit fallacy is a type of base rate fallacy .

In advertising, the fallacy of equivocation is often used to create a pun. For example, a billboard company might advertise their billboards using a line like: “Looking for a sign? This is it!” The word sign has a literal meaning as billboard and a figurative one as a sign from God, the universe, etc.

Equivocation is a fallacy because it is a form of argumentation that is both misleading and logically unsound. When the meaning of a word or phrase shifts in the course of an argument, it causes confusion and also implies that the conclusion (which may be true) does not follow from the premise.

The fallacy of equivocation is an informal logical fallacy, meaning that the error lies in the content of the argument instead of the structure.

Fallacies of relevance are a group of fallacies that occur in arguments when the premises are logically irrelevant to the conclusion. Although at first there seems to be a connection between the premise and the conclusion, in reality fallacies of relevance use unrelated forms of appeal.

For example, the genetic fallacy makes an appeal to the source or origin of the claim in an attempt to assert or refute something.

The ad hominem fallacy and the genetic fallacy are closely related in that they are both fallacies of relevance. In other words, they both involve arguments that use evidence or examples that are not logically related to the argument at hand. However, there is a difference between the two:

• In the ad hominem fallacy , the goal is to discredit the argument by discrediting the person currently making the argument.
• In the genetic fallacy , the goal is to discredit the argument by discrediting the history or origin (i.e., genesis) of an argument.

False dilemma fallacy is also known as false dichotomy, false binary, and “either-or” fallacy. It is the fallacy of presenting only two choices, outcomes, or sides to an argument as the only possibilities, when more are available.

The false dilemma fallacy works in two ways:

• By presenting only two options as if these were the only ones available
• By presenting two options as mutually exclusive (i.e., only one option can be selected or can be true at a time)

In both cases, by using the false dilemma fallacy, one conceals alternative choices and doesn’t allow others to consider the full range of options. This is usually achieved through an“either-or” construction and polarised, divisive language (“you are either a friend or an enemy”).

The best way to avoid a false dilemma fallacy is to pause and reflect on two points:

• Are the options presented truly the only ones available ? It could be that another option has been deliberately omitted.
• Are the options mentioned mutually exclusive ? Perhaps all of the available options can be selected (or be true) at the same time, which shows that they aren’t mutually exclusive. Proving this is called “escaping between the horns of the dilemma.”

Begging the question fallacy is an argument in which you assume what you are trying to prove. In other words, your position and the justification of that position are the same, only slightly rephrased.

For example: “All freshmen should attend college orientation, because all college students should go to such an orientation.”

The complex question fallacy and begging the question fallacy are similar in that they are both based on assumptions. However, there is a difference between them:

• A complex question fallacy occurs when someone asks a question that presupposes the answer to another question that has not been established or accepted by the other person. For example, asking someone “Have you stopped cheating on tests?”, unless it has previously been established that the person is indeed cheating on tests, is a fallacy.
• Begging the question fallacy occurs when we assume the very thing as a premise that we’re trying to prove in our conclusion. In other words, the conclusion is used to support the premises, and the premises prove the validity of the conclusion. For example: “God exists because the Bible says so, and the Bible is true because it is the word of God.”

In other words, begging the question is about drawing a conclusion based on an assumption, while a complex question involves asking a question that presupposes the answer to a prior question.

“ No true Scotsman ” arguments aren’t always fallacious. When there is a generally accepted definition of who or what constitutes a group, it’s reasonable to use statements in the form of “no true Scotsman”.

For example, the statement that “no true pacifist would volunteer for military service” is not fallacious, since a pacifist is, by definition, someone who opposes war or violence as a means of settling disputes.

No true Scotsman arguments are fallacious because instead of logically refuting the counterexample, they simply assert that it doesn’t count. In other words, the counterexample is rejected for psychological, but not logical, reasons.

The appeal to purity or no true Scotsman fallacy is an attempt to defend a generalisation about a group from a counterexample by shifting the definition of the group in the middle of the argument. In this way, one can exclude the counterexample as not being “true”, “genuine”, or “pure” enough to be considered as part of the group in question.

To identify an appeal to authority fallacy , you can ask yourself the following questions:

• Is the authority cited really a qualified expert in this particular area under discussion? For example, someone who has formal education or years of experience can be an expert.
• Do experts disagree on this particular subject? If that is the case, then for almost any claim supported by one expert there will be a counterclaim that is supported by another expert. If there is no consensus, an appeal to authority is fallacious.
• Is the authority in question biased? If you suspect that an expert’s prejudice and bias could have influenced their views, then the expert is not reliable and an argument citing this expert will be fallacious.To identify an appeal to authority fallacy, you ask yourself whether the authority cited is a qualified expert in the particular area under discussion.

Appeal to authority is a fallacy when those who use it do not provide any justification to support their argument. Instead they cite someone famous who agrees with their viewpoint, but is not qualified to make reliable claims on the subject.

Appeal to authority fallacy is often convincing because of the effect authority figures have on us. When someone cites a famous person, a well-known scientist, a politician, etc. people tend to be distracted and often fail to critically examine whether the authority figure is indeed an expert in the area under discussion.

The ad populum fallacy is common in politics. One example is the following viewpoint: “The majority of our countrymen think we should have military operations overseas; therefore, it’s the right thing to do.”

This line of reasoning is fallacious, because popular acceptance of a belief or position does not amount to a justification of that belief. In other words, following the prevailing opinion without examining the underlying reasons is irrational.

The ad populum fallacy plays on our innate desire to fit in (known as “bandwagon effect”). If many people believe something, our common sense tells us that it must be true and we tend to accept it. However, in logic, the popularity of a proposition cannot serve as evidence of its truthfulness.

Ad populum (or appeal to popularity) fallacy and appeal to authority fallacy are similar in that they both conflate the validity of a belief with its popular acceptance among a specific group. However there is a key difference between the two:

• An ad populum fallacy tries to persuade others by claiming that something is true or right because a lot of people think so.
• An appeal to authority fallacy tries to persuade by claiming a group of experts believe something is true or right, therefore it must be so.

To identify a false cause fallacy , you need to carefully analyse the argument:

• When someone claims that one event directly causes another, ask if there is sufficient evidence to establish a cause-and-effect relationship. 
• Ask if the claim is based merely on the chronological order or co-occurrence of the two events. 
• Consider alternative possible explanations (are there other factors at play that could influence the outcome?).

By carefully analysing the reasoning, considering alternative explanations, and examining the evidence provided, you can identify a false cause fallacy and discern whether a causal claim is valid or flawed.

False cause fallacy examples include: 

• Believing that wearing your lucky jersey will help your team win 
• Thinking that everytime you wash your car, it rains
• Claiming that playing video games causes violent behavior 

In each of these examples, we falsely assume that one event causes another without any proof.

The planning fallacy and procrastination are not the same thing. Although they both relate to time and task management, they describe different challenges:

• The planning fallacy describes our inability to correctly estimate how long a future task will take, mainly due to optimism bias and a strong focus on the best-case scenario.
• Procrastination refers to postponing a task, usually by focusing on less urgent or more enjoyable activities. This is due to psychological reasons, like fear of failure.

In other words, the planning fallacy refers to inaccurate predictions about the time we need to finish a task, while procrastination is a deliberate delay due to psychological factors.

A real-life example of the planning fallacy is the construction of the Sydney Opera House in Australia. When construction began in the late 1950s, it was initially estimated that it would be completed in four years at a cost of around $7 million.

Because the government wanted the construction to start before political opposition would stop it and while public opinion was still favorable, a number of design issues had not been carefully studied in advance. Due to this, several problems appeared immediately after the project commenced.

The construction process eventually stretched over 14 years, with the Opera House being completed in 1973 at a cost of over $100 million, significantly exceeding the initial estimates.

An example of appeal to pity fallacy is the following appeal by a student to their professor:

“Professor, please consider raising my grade. I had a terrible semester: my car broke down, my laptop got stolen, and my cat got sick.”

While these circumstances may be unfortunate, they are not directly related to the student’s academic performance.

While both the appeal to pity fallacy and   red herring fallacy can serve as a distraction from the original discussion topic, they are distinct fallacies. More specifically:

• Appeal to pity fallacy attempts to evoke feelings of sympathy, pity, or guilt in an audience, so that they accept the speaker’s conclusion as truthful.
• Red herring fallacy attempts to introduce an irrelevant piece of information that diverts the audience’s attention to a different topic.

Both fallacies can be used as a tool of deception. However, they operate differently and serve distinct purposes in arguments.

Argumentum ad misericordiam (Latin for “argument from pity or misery”) is another name for appeal to pity fallacy . It occurs when someone evokes sympathy or guilt in an attempt to gain support for their claim, without providing any logical reasons to support the claim itself. Appeal to pity is a deceptive tactic of argumentation, playing on people’s emotions to sway their opinion.

Yes, it’s quite common to start a sentence with a preposition, and there’s no reason not to do so.

For example, the sentence “ To many, she was a hero” is perfectly grammatical. It could also be rephrased as “She was a hero to  many”, but there’s no particular reason to do so. Both versions are fine.

Some people argue that you shouldn’t end a sentence with a preposition , but that “rule” can also be ignored, since it’s not supported by serious language authorities.

Yes, it’s fine to end a sentence with a preposition . The “rule” against doing so is overwhelmingly rejected by modern style guides and language authorities and is based on the rules of Latin grammar, not English.

Trying to avoid ending a sentence with a preposition often results in very unnatural phrasings. For example, turning “He knows what he’s talking about ” into “He knows about what he’s talking” or “He knows that about which he’s talking” is definitely not an improvement.

No, ChatGPT is not a credible source of factual information and can’t be cited for this purpose in academic writing . While it tries to provide accurate answers, it often gets things wrong because its responses are based on patterns, not facts and data.

Specifically, the CRAAP test for evaluating sources includes five criteria: currency , relevance , authority , accuracy , and purpose . ChatGPT fails to meet at least three of them:

• Currency: The dataset that ChatGPT was trained on only extends to 2021, making it slightly outdated.
• Authority: It’s just a language model and is not considered a trustworthy source of factual information.
• Accuracy: It bases its responses on patterns rather than evidence and is unable to cite its sources .

So you shouldn’t cite ChatGPT as a trustworthy source for a factual claim. You might still cite ChatGPT for other reasons – for example, if you’re writing a paper about AI language models, ChatGPT responses are a relevant primary source .

ChatGPT is an AI language model that was trained on a large body of text from a variety of sources (e.g., Wikipedia, books, news articles, scientific journals). The dataset only went up to 2021, meaning that it lacks information on more recent events.

It’s also important to understand that ChatGPT doesn’t access a database of facts to answer your questions. Instead, its responses are based on patterns that it saw in the training data.

So ChatGPT is not always trustworthy . It can usually answer general knowledge questions accurately, but it can easily give misleading answers on more specialist topics.

Another consequence of this way of generating responses is that ChatGPT usually can’t cite its sources accurately. It doesn’t really know what source it’s basing any specific claim on. It’s best to check any information you get from it against a credible source .

No, it is not possible to cite your sources with ChatGPT . You can ask it to create citations, but it isn’t designed for this task and tends to make up sources that don’t exist or present information in the wrong format. ChatGPT also cannot add citations to direct quotes in your text.

Instead, use a tool designed for this purpose, like the Scribbr Citation Generator .

But you can use ChatGPT for assignments in other ways, to provide inspiration, feedback, and general writing advice.

GPT  stands for “generative pre-trained transformer”, which is a type of large language model: a neural network trained on a very large amount of text to produce convincing, human-like language outputs. The Chat part of the name just means “chat”: ChatGPT is a chatbot that you interact with by typing in text.

The technology behind ChatGPT is GPT-3.5 (in the free version) or GPT-4 (in the premium version). These are the names for the specific versions of the GPT model. GPT-4 is currently the most advanced model that OpenAI has created. It’s also the model used in Bing’s chatbot feature.

ChatGPT was created by OpenAI, an AI research company. It started as a nonprofit company in 2015 but became for-profit in 2019. Its CEO is Sam Altman, who also co-founded the company. OpenAI released ChatGPT as a free “research preview” in November 2022. Currently, it’s still available for free, although a more advanced premium version is available if you pay for it.

OpenAI is also known for developing DALL-E, an AI image generator that runs on similar technology to ChatGPT.

ChatGPT is owned by OpenAI, the company that developed and released it. OpenAI is a company dedicated to AI research. It started as a nonprofit company in 2015 but transitioned to for-profit in 2019. Its current CEO is Sam Altman, who also co-founded the company.

In terms of who owns the content generated by ChatGPT, OpenAI states that it will not claim copyright on this content , and the terms of use state that “you can use Content for any purpose, including commercial purposes such as sale or publication”. This means that you effectively own any content you generate with ChatGPT and can use it for your own purposes.

Be cautious about how you use ChatGPT content in an academic context. University policies on AI writing are still developing, so even if you “own” the content, you’re often not allowed to submit it as your own work according to your university or to publish it in a journal.

ChatGPT is a chatbot based on a large language model (LLM). These models are trained on huge datasets consisting of hundreds of billions of words of text, based on which the model learns to effectively predict natural responses to the prompts you enter.

ChatGPT was also refined through a process called reinforcement learning from human feedback (RLHF), which involves “rewarding” the model for providing useful answers and discouraging inappropriate answers – encouraging it to make fewer mistakes.

Essentially, ChatGPT’s answers are based on predicting the most likely responses to your inputs based on its training data, with a reward system on top of this to incentivise it to give you the most helpful answers possible. It’s a bit like an incredibly advanced version of predictive text. This is also one of ChatGPT’s limitations : because its answers are based on probabilities, they’re not always trustworthy .

OpenAI may store ChatGPT conversations for the purposes of future training. Additionally, these conversations may be monitored by human AI trainers.

Users can choose not to have their chat history saved. Unsaved chats are not used to train future models and are permanently deleted from ChatGPT’s system after 30 days.

The official ChatGPT app is currently only available on iOS devices. If you don’t have an iOS device, only use the official OpenAI website to access the tool. This helps to eliminate the potential risk of downloading fraudulent or malicious software.

ChatGPT conversations are generally used to train future models and to resolve issues/bugs. These chats may be monitored by human AI trainers.

However, users can opt out of having their conversations used for training. In these instances, chats are monitored only for potential abuse.

Yes, using ChatGPT as a conversation partner is a great way to practice a language in an interactive way.

Try using a prompt like this one:

“Please be my Spanish conversation partner. Only speak to me in Spanish. Keep your answers short (maximum 50 words). Ask me questions. Let’s start the conversation with the following topic: [conversation topic].”

Yes, there are a variety of ways to use ChatGPT for language learning , including treating it as a conversation partner, asking it for translations, and using it to generate a curriculum or practice exercises.

AI detectors aim to identify the presence of AI-generated text (e.g., from ChatGPT ) in a piece of writing, but they can’t do so with complete accuracy. In our comparison of the best AI detectors , we found that the 10 tools we tested had an average accuracy of 60%. The best free tool had 68% accuracy, the best premium tool 84%.

Because of how AI detectors work , they can never guarantee 100% accuracy, and there is always at least a small risk of false positives (human text being marked as AI-generated). Therefore, these tools should not be relied upon to provide absolute proof that a text is or isn’t AI-generated. Rather, they can provide a good indication in combination with other evidence.

Tools called AI detectors are designed to label text as AI-generated or human. AI detectors work by looking for specific characteristics in the text, such as a low level of randomness in word choice and sentence length. These characteristics are typical of AI writing, allowing the detector to make a good guess at when text is AI-generated.

But these tools can’t guarantee 100% accuracy. Check out our comparison of the best AI detectors to learn more.

You can also manually watch for clues that a text is AI-generated – for example, a very different style from the writer’s usual voice or a generic, overly polite tone.

Our research into the best summary generators (aka summarisers or summarising tools) found that the best summariser available in 2023 is the one offered by QuillBot.

While many summarisers just pick out some sentences from the text, QuillBot generates original summaries that are creative, clear, accurate, and concise. It can summarise texts of up to 1,200 words for free, or up to 6,000 with a premium subscription.

Try the QuillBot summarizer for free

Deep learning requires a large dataset (e.g., images or text) to learn from. The more diverse and representative the data, the better the model will learn to recognise objects or make predictions. Only when the training data is sufficiently varied can the model make accurate predictions or recognise objects from new data.

Deep learning models can be biased in their predictions if the training data consist of biased information. For example, if a deep learning model used for screening job applicants has been trained with a dataset consisting primarily of white male applicants, it will consistently favour this specific population over others.

A good ChatGPT prompt (i.e., one that will get you the kinds of responses you want):

• Gives the tool a role to explain what type of answer you expect from it
• Is precisely formulated and gives enough context
• Is free from bias
• Has been tested and improved by experimenting with the tool

ChatGPT prompts are the textual inputs (e.g., questions, instructions) that you enter into ChatGPT to get responses.

ChatGPT predicts an appropriate response to the prompt you entered. In general, a more specific and carefully worded prompt will get you better responses.

Yes, ChatGPT is currently available for free. You have to sign up for a free account to use the tool, and you should be aware that your data may be collected to train future versions of the model.

To sign up and use the tool for free, go to this page and click “Sign up”. You can do so with your email or with a Google account.

A premium version of the tool called ChatGPT Plus is available as a monthly subscription. It currently costs £16 and gets you access to features like GPT-4 (a more advanced version of the language model). But it’s optional: you can use the tool completely free if you’re not interested in the extra features.

You can access ChatGPT by signing up for a free account:

• Follow this link to the ChatGPT website.
• Click on “Sign up” and fill in the necessary details (or use your Google account). It’s free to sign up and use the tool.
• Type a prompt into the chat box to get started!

A ChatGPT app is also available for iOS, and an Android app is planned for the future. The app works similarly to the website, and you log in with the same account for both.

According to OpenAI’s terms of use, users have the right to reproduce text generated by ChatGPT during conversations.

However, publishing ChatGPT outputs may have legal implications , such as copyright infringement.

Users should be aware of such issues and use ChatGPT outputs as a source of inspiration instead.

According to OpenAI’s terms of use, users have the right to use outputs from their own ChatGPT conversations for any purpose (including commercial publication).

However, users should be aware of the potential legal implications of publishing ChatGPT outputs. ChatGPT responses are not always unique: different users may receive the same response.

Furthermore, ChatGPT outputs may contain copyrighted material. Users may be liable if they reproduce such material.

ChatGPT can sometimes reproduce biases from its training data , since it draws on the text it has “seen” to create plausible responses to your prompts.

For example, users have shown that it sometimes makes sexist assumptions such as that a doctor mentioned in a prompt must be a man rather than a woman. Some have also pointed out political bias in terms of which political figures the tool is willing to write positively or negatively about and which requests it refuses.

The tool is unlikely to be consistently biased toward a particular perspective or against a particular group. Rather, its responses are based on its training data and on the way you phrase your ChatGPT prompts . It’s sensitive to phrasing, so asking it the same question in different ways will result in quite different answers.

Information extraction  refers to the process of starting from unstructured sources (e.g., text documents written in ordinary English) and automatically extracting structured information (i.e., data in a clearly defined format that’s easily understood by computers). It’s an important concept in natural language processing (NLP) .

For example, you might think of using news articles full of celebrity gossip to automatically create a database of the relationships between the celebrities mentioned (e.g., married, dating, divorced, feuding). You would end up with data in a structured format, something like MarriageBetween(celebrity 1 ,celebrity 2 ,date) .

The challenge involves developing systems that can “understand” the text well enough to extract this kind of data from it.

Knowledge representation and reasoning (KRR) is the study of how to represent information about the world in a form that can be used by a computer system to solve and reason about complex problems. It is an important field of artificial intelligence (AI) research.

An example of a KRR application is a semantic network, a way of grouping words or concepts by how closely related they are and formally defining the relationships between them so that a machine can “understand” language in something like the way people do.

A related concept is information extraction , concerned with how to get structured information from unstructured sources.

Yes, you can use ChatGPT to summarise text . This can help you understand complex information more easily, summarise the central argument of your own paper, or clarify your research question.

You can also use Scribbr’s free text summariser , which is designed specifically for this purpose.

Yes, you can use ChatGPT to paraphrase text to help you express your ideas more clearly, explore different ways of phrasing your arguments, and avoid repetition.

However, it’s not specifically designed for this purpose. We recommend using a specialised tool like Scribbr’s free paraphrasing tool , which will provide a smoother user experience.

Yes, you use ChatGPT to help write your college essay by having it generate feedback on certain aspects of your work (consistency of tone, clarity of structure, etc.).

However, ChatGPT is not able to adequately judge qualities like vulnerability and authenticity. For this reason, it’s important to also ask for feedback from people who have experience with college essays and who know you well. Alternatively, you can get advice using Scribbr’s essay editing service .

No, having ChatGPT write your college essay can negatively impact your application in numerous ways. ChatGPT outputs are unoriginal and lack personal insight.

Furthermore, Passing off AI-generated text as your own work is considered academically dishonest . AI detectors may be used to detect this offense, and it’s highly unlikely that any university will accept you if you are caught submitting an AI-generated admission essay.

However, you can use ChatGPT to help write your college essay during the preparation and revision stages (e.g., for brainstorming ideas and generating feedback).

ChatGPT and other AI writing tools can have unethical uses. These include:

• Reproducing biases and false information
• Using ChatGPT to cheat in academic contexts
• Violating the privacy of others by inputting personal information

However, when used correctly, AI writing tools can be helpful resources for improving your academic writing and research skills. Some ways to use ChatGPT ethically include:

• Following your institution’s guidelines
• Critically evaluating outputs
• Being transparent about how you used the tool

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You will receive the sample edit within 24 hours after placing your order. You then have 24 hours to let us know if you’re happy with the sample or if there’s something you would like the editor to do differently.

Read more about how the sample edit works

Yes, you can upload your document in sections.

We try our best to ensure that the same editor checks all the different sections of your document. When you upload a new file, our system recognizes you as a returning customer, and we immediately contact the editor who helped you before.

However, we cannot guarantee that the same editor will be available. Your chances are higher if

• You send us your text as soon as possible and
• You can be flexible about the deadline.

Please note that the shorter your deadline is, the lower the chance that your previous editor is not available.

If your previous editor isn’t available, then we will inform you immediately and look for another qualified editor. Fear not! Every Scribbr editor follows the  Scribbr Improvement Model  and will deliver high-quality work.

Yes, our editors also work during the weekends and holidays.

Because we have many editors available, we can check your document 24 hours per day and 7 days per week, all year round.

If you choose a 72 hour deadline and upload your document on a Thursday evening, you’ll have your thesis back by Sunday evening!

Yes! Our editors are all native speakers, and they have lots of experience editing texts written by ESL students. They will make sure your grammar is perfect and point out any sentences that are difficult to understand. They’ll also notice your most common mistakes, and give you personal feedback to improve your writing in English.

Every Scribbr order comes with our award-winning Proofreading & Editing service , which combines two important stages of the revision process.

For a more comprehensive edit, you can add a Structure Check or Clarity Check to your order. With these building blocks, you can customize the kind of feedback you receive.

You might be familiar with a different set of editing terms. To help you understand what you can expect at Scribbr, we created this table:

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When you place an order, you can specify your field of study and we’ll match you with an editor who has familiarity with this area.

However, our editors are language specialists, not academic experts in your field. Your editor’s job is not to comment on the content of your dissertation, but to improve your language and help you express your ideas as clearly and fluently as possible.

This means that your editor will understand your text well enough to give feedback on its clarity, logic and structure, but not on the accuracy or originality of its content.

Good academic writing should be understandable to a non-expert reader, and we believe that academic editing is a discipline in itself. The research, ideas and arguments are all yours – we’re here to make sure they shine!

After your document has been edited, you will receive an email with a link to download the document.

The editor has made changes to your document using ‘Track Changes’ in Word. This means that you only have to accept or ignore the changes that are made in the text one by one.

It is also possible to accept all changes at once. However, we strongly advise you not to do so for the following reasons:

• You can learn a lot by looking at the mistakes you made.
• The editors don’t only change the text – they also place comments when sentences or sometimes even entire paragraphs are unclear. You should read through these comments and take into account your editor’s tips and suggestions.
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If you don’t choose one, your editor will follow the style of English you currently use. If your editor has any questions about this, we will contact you.

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• Graduate school
• Information for postgraduate research students
• Submitting your thesis

This section contains essential information and guidance for the preparation and submission of your thesis.

Preparation and Submission of your Thesis

IMPORTANT - When preparing your thesis please ensure that you have taken into account any copyright or sensitive content issues, and dealt with them appropriately. 

COVID-19  Additional academic support – Supporting Students to Submission

Additional academic support is available for postgraduate research students impacted by the pandemic. If your research has been disrupted by COVID-19, it will now be possible to have this taken into account in viva examinations.

Tips on planning your thesis

At an early stage you should:

• Prepare a detailed work plan for your research in consultation with your supervisor.
• Build some flexibility into your plan. It is difficult to give general advice about the allocation of time on theory‑oriented projects, because the nature of these is so variable. In the case of experiment‑based research projects, you should normally allow up to six months to write a DPhil thesis, or three to four months for a corresponding MSc by Research thesis.
• Consider attending available skills training courses, for example  Thesis and Report Writing .

It is not advisable to leave all the writing to the end, for several reasons:

• You will need practice at writing over a period of time in order to develop a good style.
• There will inevitably be hold‑ups in experimental work and it is better to use that time to work on part of your thesis, rather than to waste it. If you do some writing earlier the final completion of your thesis will not seem such a daunting task.
• Approaching your submission date will become more stressful than necessary.

About your thesis

The best way to find out what is required for a successful thesis in your subject area is to look at some written in recent years. You should obviously look particularly closely at theses written by previous members of your own research group, which are available in the University library.

The formal requirements for obtaining your degree are set out in detail in the ‘ Examination Regulations ’. The standard required for success in the DPhil examination is defined as follows: that the student present a significant and substantial piece of research, of a kind which might reasonably be expected of a capable and diligent student after three or at most four years of full‑time study in the case of a full-time student, or eight years in the case of a part-time student. For the MSc by Research the standard required is that the candidate should have made a worthwhile contribution to knowledge or understanding of the relevant field of learning after a minimum of one year or two years of full-time study.

Thesis structure - Integrated Thesis

Subject to approval, students registered on research programmes (DPhil, MSc (Res) and CDTs) in the following departments may submit an integrated thesis rather than a conventional thesis: Biology, Chemistry, Earth Sciences, Engineering Science and Statistics. Where a student is admitted to an interdisciplinary doctoral training programme (CDT/DTP), the regulations for the department that the student is hosted in will therefore determine whether an integrated thesis may be applied for.

An integrated thesis may either be a hybrid of conventional chapters and high-quality scientific papers, or be fully paper-based. Regardless of the format, the content of the thesis should reflect the amount, originality and level of work expected for a conventional thesis. It should not be assumed that the act of publication (in whatever form) means the work is of suitable academic quality and content for inclusion in a thesis, and students should discuss all papers in detail with their supervisor before including. It would be anticipated that the candidate would be a lead contributor, rather than a minor author, on at least some of the papers in order to consider this format. There is no minimum, or maximum, number of papers a candidate is expected/allowed to include as part of such a thesis and it will remain a matter for the examiners to conclude whether the contributions are equivalent to that which would be expected of a standard DPhil.

Any papers utilised must concern a common subject, constitute a continuous theme and conform to the following guidelines:

 (i) If a candidate for the Degree of Doctor of Philosophy wishes to be examined through an integrated thesis (in the departments listed above), they should apply for permission to be examined in this way when they apply for confirmation of status, as detailed in the relevant departmental handbook. A candidate for the Degree of Master of Science by Research should normally apply to the DGS for permission to be examined in this way six months before submitting their papers for examination. To revert to being examined by a conventional thesis rather than an integrated thesis, the candidate must inform their department of the change as detailed in the relevant departmental handbook.

(ii) Work can be included regardless of its acceptance status for publication but candidates may be questioned on the publication status of their work by the examiners.

(iii) Any submitted/published papers should relate directly to the candidate’s approved field of study, and should have been written whilst holding the status of PRS or a student for the MSc (by Research), or DPhil.

(iv) The collection of papers must include a separate introduction, a full literature review, discussion and a conclusion, so that the integrated thesis can be read as a single, coherent document.

(v) The candidate must ensure all matters of copyright are addressed before a paper’s inclusion. A pre-print version of any published papers should be included as standard.

(vi) Joint/multi-authored papers are common in science based subjects and thus acceptable if the candidate can both defend the paper in full and provide a written statement of authorship, agreed by all authors, that certifies the extent of the candidate’s own contribution. A standard template is available for this purpose.

• Download the Statement of Authorship template as a Word document
• View the Statement of Authorship template as a webpage  

The length and scope of theses, including word limits for each subject area in the Division are set out in Departmental guidelines.

In all departments, if some part of the thesis is not solely your work or has been carried out in collaboration with one or more persons, you should also submit a clear statement of the extent of your contribution.

• Download the guidance for submitting an Integrated Thesis as a Word document
• View the guidance for submitting an Integrated Thesis as a webpage

Thesis page and word limits

Several departments place a word limit or page limit on theses. Details can be found in the  Examination Regulations  or  GSO.20a Notes of Guidance for Research Examinations .

Permission to exceed the page and word limits

Should you need to exceed your word/page limit you must seek approval from the Director of Graduate Studies in your department. You and your supervisor must submit a letter/email requesting approval, giving reasons why it is necessary to exceed the limit. This must be sent to the MPLS Graduate Office ( [email protected] ).

Proof-reading

It is your responsibility to ensure your thesis has been adequately proof-read before it is submitted.  Your supervisor may alert you if they feel further proof-reading is needed, but it is not their job to do the proof-reading for you.  You should proof-read your own work, as this is an essential skill in the academic writing process. However, for longer pieces of work it is considered acceptable for students to seek the help of a third party for proof-reading. Such third parties can be professional proof-readers, fellow students, friends or family members (students should bear in mind the terms of any agreements with an outside body or sponsor governing supply of confidential material or the disclosure of research results described in the thesis).   Proof-reading assistance may also be provided as a reasonable adjustment for disability.    Your thesis may be rejected by the examiners if it has not been adequately proof-read.  

See the University’s Policy on the Use of Third Party Proof-readers . The MPLS Division offers training in proof-reading as part of its Scientific Writing training programmes.

Examiners and Submission Dates

You are strongly advised to apply for the appointment of examiners at least four to six weeks before you submit your thesis.

Appointing examiners for your thesis

Approval of the proposed names of examiners rests with the Director of Graduate Studies. Two examiners are normally appointed. It is usual for one of the examiners to be a senior member of Oxford University (the ‘internal examiner’) and the other to be from another research organisation (the ‘external examiner’). The divisional board will not normally appoint as examiners individuals previously closely associated with the candidate or their work, representatives of any organisation sponsoring the candidate’s research, or former colleagues of a candidate. Your supervisor will make suggestions regarding the names of possible examiners. Before doing so, your supervisor must consult with you, in order to find out if you have any special views on the appointment of particular examiners. Your supervisor is also allowed to consult informally with the potential examiners before making formal suggestions. Such informal consultation is usually desirable, and is intended to determine whether the people concerned are willing in principle to act, and if so, whether they could carry out the examination within a reasonable period of time. (For example, there may be constraints if you have to return to your home country, or take up employment on a specific date).

See information on examiner conflicts of interest , under section 7.3.3 Examiners.

What forms do I need to complete?

You will need to complete the online  GSO.3 form. Supervisors complete the section indicating names of the proposed examiners, and they should provide alternatives in case the preferred examiners decline to act.

Timing for appointment of examiners

You are advised to submit your appointment of examiners form in advance of submitting your thesis to avoid delays with your examination process. Ideally you should apply for the appointment of examiners at least 4-6 weeks before you expect to submit your thesis for examination.

There are currently no University regulations requiring examination to take place within a certain time limit after thesis submission. However, your examiners would normally be expected to hold your viva within 3 months. If you need to have your examination sooner than this, you may apply for an early viva , by completing the 'Application for a time specific examination' section on the appointment of examiners form, this section must be endorsed by your supervisor and DGS in addition to their approval in the main body of the form. The request must be made at the time of completing and submitting the appointment of examiners form, it cannot be done after this.

Please bear in mind that the examination date requested must not be earlier than one calendar month after the date on which the thesis has been received by the Research Degrees Team or after the date on which the examiners have formally agreed to act, whichever is the latest. The actual date of the examination will depend primarily on the availability of both examiners. In the Long Vacation, a longer time is normally required. It is therefore essential that you leave sufficient time for your forms to be formally approved, and for your examiners to be formally invited.  If sufficient time has not be given this could impact on your early examination request .

If, for any reason, examiners wish to hold a viva within four weeks of receiving their copy of the thesis, permission must be sought from the Director of Graduate Studies. The internal examiner will need to give details of the proposed arrangement and the reasons for the request. Under no circumstances will a viva be permitted to take place within 14 days of receipt of the thesis by the examiners.

Special considerations

Your supervisor is permitted to indicate to the Director of Graduate Studies if there are any special factors which should be taken into account in the conduct of your examination. For example, a scientific paper may have been produced by another researcher which affects the content of your thesis, but which was published too late for you to take into account. The Director of Graduate Studies will also need to be told of any special circumstances you may require or need to inform your examiners of which may affect your performance in an oral examination, or if any part of your work must be regarded as confidential. The Director of Graduate Studies will then forward (via the Graduate Office), any appropriate information that they think should be provided to the examiners. The Graduate Office will also seek approval from the Proctors Office if required.

Change of thesis title

If during your studies you want to change the title or subject of your thesis, you must obtain the approval of the Director of Graduate Studies using the online form GSO.6 . If you are requesting the change at the time of submitting your thesis, you may do this on the application for appointment of examiners form. A change of title is quite straightforward; it is common for students to begin with a very general title, and then to replace it with a more specific one shortly before submitting their thesis. Providing your supervisor certifies that the new title lies within the original topic, approval will be automatic. A change of the subject of your research requires more detailed consideration, because there may be doubt as to whether you can complete the new project within the original time‑scale.

If following your examination your examiners recommend that your thesis title be changed, you will need to complete a change of thesis title form to ensure that your record is updated accordingly.

From MT19 y ou must submit your digital examiners’ copy of your thesis online, via the Research Thesis Digital Submission (RTDS) portal, no later than the last day of the vacation immediately following the term in which your application for the appointment of examiners was made.   If you fail to submit by this date your application will be cancelled and you will have to reapply for appointment of examiners when you are ready to submit. Y our thesis should not be submitted until your application for confirmation of status has been approved (this applies to DPhil students only) . For MSc by Research students you should ensure that your transfer of status has been completed .

If you are funded on a research council studentship, you will have a recommended end-date before which your thesis must be submitted. If you do not know this date, please consult your supervisor.

Please note that you must not submit copies of your thesis directly to your examiners as this could result in your examinations being declared void and you could be referred to the University Proctors.

On this page

• COVID-19 MPLS PGR Communications
• Introduction
• Fees and Charges
• Supervision and Termly Reporting
• Your rights, responsibilities and policies
• Progression and Key Milestones
• Extensions and Suspensions
• Lapsing and Reinstatement
• Examination and Graduation
• Student Welfare and Support Services
• Academic Services
• Clubs and Societies
• Student representation: Postgraduates
• UKRI Funded Students

• Research, Partnerships and Innovation
• Postgraduate Research Hub
• Thesis and Examination: The Code of Practice

Preparing a thesis

Guidance on writing your thesis and the support available.

English language requirements

Theses should normally be written in English. In exceptional circumstances, a student may request permission from their Faculty to present a thesis that is written in another language where there is a clear academic justification for doing so, eg. where the language is directly linked to the research project, or where there is a clear benefit to the impact and dissemination of the research.

Likewise, the oral examination should normally be conducted in English, except in cases where there are pedagogic reasons for it to be held in another language, or where there is a formal agreement in place that requires the viva to be conducted in another language. Permission should be sought from the appropriate faculty for a viva to be conducted in a language other than English.

Guidance on writing the thesis

The main source of advice and guidance for students beginning to write their thesis is the supervisory team. Students should discuss the proposed structure of the thesis with their supervisor at an early stage in their research programme, together with the schedule for its production, and the role of the supervisor in checking drafts. Supervisors should be prepared to advise on such matters as undertaking a literature review, referencing and formatting the thesis, and on what should or should not be included in the thesis, including any supplementary or non-standard material.

Additional support is also available via the English Language Teaching Centre (ELTC), which offers academic writing and thesis writing courses. In addition, the University offers a Thesis Mentoring programme  to help students to manage better the process of writing their thesis.

Students may also find it helpful to consult theses from the same subject discipline that are available in institutional repositories such as White Rose Etheses Online or via the British Library’s EThOS service.

Students who intend to include in their thesis any material owned by another person should consider the copyright implications at an early stage and should not leave this until the final stages of completing the thesis. The correct use of third-party copyright material and the avoidance of unfair means are taken very seriously by the University. Attendance at a copyright training session offered by the Library is strongly recommended.

Students should take care to ensure that the identification of any third-party individuals within their thesis (e.g. participants in the research), is only done with the informed consent of those individuals, and in recognition of any potential risks that this may present to them. This is especially important because an electronic copy of the thesis will normally be made publicly available via the White Rose Etheses Online repository.

Use of copyright material

Guidance on good practices in authorship is set out in the GRIP policy expectations.

Good practices in authorship

Acceptable support in writing the thesis

It is acceptable for a student to receive the following support in writing the thesis from the supervisory team (that is additional to the advice and/or information outlined above), if the supervisory team has considered that this support is necessary:

• Where the meaning of the text is not clear the student should be asked to re-write the text in question in order to clarify the meaning.
• If the meaning of the text is unclear, the supervisory team can provide support in correcting grammar and sentence construction to clarify its meaning. If a student requires significant support with written English above what is considered to be correcting grammar and sentence construction, the supervisory team will, at the earliest opportunity, request that the student obtains remedial tuition support from the University’s English Language Teaching Centre.
• The supervisory team cannot rewrite text that changes the meaning of the text (ghost writing/ghost authorship in a thesis is unacceptable).
• The supervisory team can provide guidance on the structure, content and expression of writing.
• The supervisory team can proofread the text.
• Anyone else who may be employed or engaged to proofread the text is only permitted to change spelling and grammar and must not be able to change the content of the thesis.

The Confirmation Review and the oral examination are the key progression milestones for testing whether a thesis is a student's own work.

Requests for an extension to a student’s time limit for the student to improve their standard of written English in the thesis will not be approved. Students who require additional language support should be signposted to appropriate sources of help at an early stage in their degree to avoid such an occurrence.

Yellow Sticker scheme for disabled students

The University runs a sticker scheme for students who have an impairment that can affect aspects of their written communication. This applies to all students, including PGRs submitting a thesis for examination.

Yellow Sticker scheme

The University does not have any regulatory requirements governing the length of theses, but most faculties have established guidelines:

• Arts and Humanities: 40,000 words (MPhil); 75,000 words (PhD)
• Health: 40,000 words (MPhil); 75,000 words (PhD, MD)
• Science: 40,000 words (MPhil); 80,000 words (PhD)
• Social Sciences: 40,000 words (MPhil); 75,000-100,000 words (PhD)

The above word counts exclude footnotes, bibliography and appendices. Where there are no guidelines, students should consult the supervisor as to the length of thesis appropriate to the particular topic of research.

Related information

Contact the Research Degree Support Team

Thesis submission

Use of unfair means in the assessment process

• Subject Guides

Academic writing: a practical guide

Dissertations.

• Academic writing
• The writing process
• Academic writing style
• Structure & cohesion
• Criticality in academic writing
• Working with evidence
• Referencing
• Assessment & feedback
• Reflective writing
• Examination writing
• Academic posters
• Feedback on Structure and Organisation
• Feedback on Argument, Analysis, and Critical Thinking
• Feedback on Writing Style and Clarity
• Feedback on Referencing and Research
• Feedback on Presentation and Proofreading

Dissertations are a part of many degree programmes, completed in the final year of undergraduate studies or the final months of a taught masters-level degree. 

Introduction to dissertations

What is a dissertation.

A dissertation is usually a long-term project to produce a long-form piece of writing; think of it a little like an extended, structured assignment. In some subjects (typically the sciences), it might be called a project instead.

Work on an undergraduate dissertation is often spread out over the final year. For a masters dissertation, you'll start thinking about it early in your course and work on it throughout the year.

You might carry out your own original research, or base your dissertation on existing research literature or data sources - there are many possibilities.

What's different about a dissertation?

The main thing that sets a dissertation apart from your previous work is that it's an almost entirely independent project. You'll have some support from a supervisor, but you will spend a lot more time working on your own.

You'll also be working on your own topic that's different to your coursemate; you'll all produce a dissertation, but on different topics and, potentially, in very different ways.

Dissertations are also longer than a regular assignment, both in word count and the time that they take to complete. You'll usually have  most of an academic year to work on one, and be required to produce thousands of words; that might seem like a lot, but both time and word count will disappear very quickly once you get started! 

Find out more:

Key dissertation tools

Digital tools.

There are lots of tools, software and apps that can help you get through the dissertation process. Before you start, make sure you collect the key tools ready to:

• use your time efficiently
• organise yourself and your materials
• manage your writing
• be less stressed

Here's an overview of some useful tools:

Digital tools for your dissertation [Google Slides]

Setting up your document

Formatting and how you set up your document is also very important for a long piece of work like a dissertation, research project or thesis. Find tips and advice on our text processing guide:

University of York past Undergraduate and Masters dissertations

If you are a University of York student, you can access a selection of digitised undergraduate dissertations for certain subjects:

• History  
• History of Art  
• Social Policy and Social Work  

The Library also has digitised Masters dissertations for the following subjects:

• Archaeology
• Centre for Eighteenth-Century Studies  
• Centre for Medieval Studies  
• Centre for Renaissance and Early Modern Studies  
• Centre for Women's Studies  
• English and Related Literature
• Health Sciences
• History of Art
• Hull York Medical School
• Language and Linguistic Science
• School for Business and Society
• School of Social and Political Sciences ​​​​​​​

Dissertation top tips

Many dissertations are structured into four key sections:

• introduction & literature review

There are many different types of dissertation, which don't all use this structure, so make sure you check your dissertation guidance. However, elements of these sections are common in all dissertation types.

Dissertations that are an extended literature review do not involve data collection, thus do not have a methods or result section. Instead they have chapters that explore concepts/theories and result in a conclusion section. Check your dissertation module handbook and all information given to see what your dissertation involves. 

Introduction & literature review

The Introduction and Literature Review give the context for your dissertation:

• What topic did you investigate?
• What do we already know about this topic?
• What are your research questions and hypotheses?

Sometimes these are two separate sections, and sometimes the Literature Review is integrated into the Introduction. Check your guidelines to find out what you need to do.

Literature Review Top Tips [YouTube]  |  Literature Review Top Tips transcript [Google Doc]

The Method section tells the reader what you did  and why.

• Include enough detail so that someone else could replicate your study.
• Visual elements can help present your method clearly. For example, summarise participant demographic data in a table or visualise the procedure in a diagram. 
• Show critical analysis by justifying your choices. For example, why is your test/questionnaire/equipment appropriate for this study?
• If your study requires ethical approval, include these details in this section.

Methodology Top Tips [YouTube]  |  Methodology Top Tips transcript [Google Doc]

More resources to help you plan and write the methodology:

The Results tells us what you found out . 

It's an objective presentation of your research findings. Don’t explain the results in detail here - you’ll do that in the discussion section.

Results Top Tips [YouTube]  |  Results Top Tips transcript [Google Doc]

The Discussion is where you explain and interpret your results - what do your findings mean?

This section involves a lot of critical analysis. You're not just presenting your findings, but putting them together with findings from other research to build your argument about what the findings mean.

Discussion Top Tips [YouTube]  |  Discussion Top Tips transcript [Google Doc]

Conclusions are a part of many dissertations and/or research projects. Check your module information to see if you are required to write one. Some dissertations/projects have concluding remarks in their discussion section. See the slides below for more information on writing conclusions in dissertations.

Conclusions in dissertations [Google Slides]

The abstract is a short summary of the whole dissertation that goes at the start of the document. It gives an overview of your research and helps readers decide if it’s relevant to their needs.

Even though it appears at the start of the document, write the abstract last. It summarises the whole dissertation, so you need to finish the main body before you can summarise it in the abstract.

Usually the abstract follows a very similar structure to the dissertation, with one or two sentences each to show the aims, methods, key results and conclusions drawn. Some subjects use headings within the abstract. Even if you don’t use these in your final abstract, headings can help you to plan a clear structure.

Abstract Top Tips [YouTube]  |  Abstract Top Tips transcript [Google Doc]

Watch all of our Dissertation Top Tips videos in one handy playlist:

Research reports, that are often found in science subjects, follow the same structure, so the tips in this tutorial also apply to dissertations:

Other support for dissertation writing

Online resources.

The general writing pages of this site offer guidance that can be applied to all types of writing, including dissertations. Also check your department guidance and VLE sites for tailored resources.

Other useful resources for dissertation writing:

Appointments and workshops 

There is a lot of support available in departments for dissertation production, which includes your dissertation supervisor, academic supervisor and, when appropriate, staff teaching in the research methods modules.

You can also access central writing and skills support:

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Format your thesis

When submitting thesis work for assessment, there are several sets of requirements that must be met.

All submissions must meet the specifications listed within the ‘ Nature of the thesis ’ section in the Policy on Research Degrees . These include the requirement to present your thesis for examination, and for deposit after examination.

In addition, your work must also meet the different University requirements set out below - those listed for ' all theses ' and any style specific requirements. Where relevant, you may also need to meet additional subject or programme-specific requirements - these will be set out in your departmental Postgraduate Researcher (PGR) handbook.

[email protected] +44 (0)1904 325962 Student Hub, Information Centre Basement, Market Square

Related links

Requirements for:

• Monograph (traditional) theses
• Journal-style theses
• Hardcopy versions

Types of thesis

There are two main types of thesis.

• A monograph or traditional thesis : a unified, single author document comprising a number of chapters with an introduction and conclusion.
• A journal-style thesis : a document that incorporates one or more chapters that are in a format suitable for publication in a peer-reviewed title alongside a supporting commentary.

Most postgraduate researchers (PGRs) will likely submit a monograph thesis, however journal-style theses are becoming increasingly common in certain disciplines. If you are interested in submitting a journal-style thesis you should check that your school/department/centre permits this and read the University guidance .

Practice-based PGR programmes

If you are doing a practice-based programme, you may be required (or permitted) to submit an alternative assessment format instead of, or in addition to, a thesis (eg a portfolio of work).

Requirements for all theses

All thesis types must adhere to the following requirements:

You must abide by the Policy on Transparency of Authorship in PGR Programmes, including generative AI, proofreading and translation .

Further guidance on the use, and potential misuse, of generative AI is available. 

To meet electronic thesis (e-thesis) guidelines, your main thesis text must be submitted as a PDF document.

If your thesis will include any other file formats in addition to PDF (eg audio files, data spreadsheets), you should refer to our e-thesis file format guidance .

Once deposited, your e-thesis will be publicly available via the White Rose eTheses Online (WREO) unless you have arranged an embargo.

Printing and e-theses

While theses are submitted and deposited electronically, they need to be presented in such a way that they can be easily read in electronic form and printed without issue (eg if this is required by the examiners or by your funder). For more information on preparing a printable copy of your thesis, see our hardcopy thesis guidance .

Your e-thesis needs to be an accessible document , meaning that it should be easy for anyone to read or reformat, and can be accessed by people using assistive technology (such as screen readers).

There are some simple steps you will need to take to ensure that your e-thesis meets accessibility standards.

• Use the headings function within your chosen software package to produce a structured document.
• Add alternative text to images/videos/graphs/tables etc.
• Always use the number/bullet point function within your software package when creating a list.
• Use meaningful hyperlinks.
• Use tables sparingly and format them with a header row and, where appropriate, a header column.

For further details, please see the section on legibility below, as well as guidance on making your e-thesis accessible .

The title page of every volume should only include the following information in the order listed, and on separate lines:

• the full title of the thesis and any subtitle
• the total number of volumes, if more than one, and the number of the particular volume
• the full name of the author, followed, if desired, by any qualifications and distinctions
• the qualification for which the thesis is being deposited (for example PhD or MA by Research)
• the name of the University
• the name of the School, Department or Centre in which the research was conducted. You must refer to the list of approved names on the submit your thesis web page
• the month and year the thesis was first submitted for examination.

If there is a cover page included in advance of, and in addition, to the title page, this may be a single colour with clearly visible text in a contrasting colour. The cover should have the same information as the title page, as listed above.

The abstract should follow the title page. It should provide a synopsis of the thesis, stating the nature and scope of work undertaken and the contribution made to knowledge in the subject area. It should appear on its own on a single page and should not exceed 300 words in length. The abstract of the thesis may, after the award of the degree, be published by the University in any manner approved by the Senate, and for this purpose, the copyright of the abstract shall be deemed to be vested in the University.

In this section you must confirm that your thesis meets the requirements of the 'Nature of the Thesis' section Policy on Research Degrees , and in particular that it:

• is your own original work (or if work has been done in collaboration with others, full disclosure of the names of your colleagues and the contribution they have made)
• has not been previously submitted for any degree or other qualification at this University or elsewhere (unless an internal resubmission).

You must also state whether any material in the thesis has been presented for publication (including if under review) with full references. The minimum required is as follows:

I declare that this thesis is a presentation of original work and I am the sole author. This work has not previously been presented for a degree or other qualification at this University or elsewhere. All sources are acknowledged as references. For further guidance on the inclusion of published material and authorship, see the University requirements on journal-style theses .

The text and, wherever possible, all the material of the thesis (including illustrations), should be based on A4 page size (297mm x 210mm).

Typographic design

Text and its setting (font, size, line spacing, margins) must be chosen to ensure legibility.

Text, in general, should be black, sans serif and should not be embellished (ie no general use of coloured text or fancy fonts, no section separators, etc).

For ease of reading, the size of character used in the main text should be no less than 11pt.

Text should normally be set with even or proportionate spacing between words. Word division at the ends of lines should be avoided, if possible.

It is recommended that 1.5 line spacing or equivalent is used, although lines that contain mathematical formulae, diacritical marks or strings of capital letters may need additional space.

It should be clear when a new paragraph is starting and where matter in the text is being quoted.

A bibliographical reference must be given for every work, published or unpublished, cited in your thesis.

Citations should be in a consistent and approved format as specified by your school, department or centre. References should be collated in a reference list or a combined reference list/bibliography. 

Please refer to referencing guidance issued by your school, department or centre and the University's guidelines for further information.

After the deposit of your examined thesis in WREO, and before you leave the University, you should ensure that your research data is retained and deposited in a suitable data repository or, more rarely, disposed of securely. Research data that supports the findings in your thesis should normally be retained, unless there are legal, ethical, funder or contractual requirements that would prohibit its retention.

For guidance see Sharing, preserving and depositing your data or contact the Library's Research Support Team for further information or advice.

Download a copy of these requirements (you will need to be logged into your University of York Google account) :

Format your thesis (Google doc)

Additional thesis-specific guidance

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Word limits and requirements of your Degree Committee

Candidates should write as concisely as is possible, with clear and adequate exposition. Each Degree Committee has prescribed the limits of length and stylistic requirements as given below. On submission of the thesis you must include a statement of length confirming that it does not exceed the word limit for your Degree Committee.

These limits and requirements are strictly observed by the Postgraduate Committee and the Degree Committees and, unless approval to exceed the prescribed limit has been obtained beforehand (see: Extending the Word Limit below), a thesis that exceeds the limit may not be examined until its length complies with the prescribed limit.

Extending the Word Limit

Thesis word limits are set by Degree Committees. If candidates need to increase their word limits they will need to apply for permission.

Information on how to apply (via self-service account) is available on the ‘ Applying for a change in your student status’  page. If following your viva, you are required to make corrections to your thesis which will mean you need to increase your word-limit, you need to apply for permission in the same way.

Requirements of the Degree Committees

Archaeology and anthropology, architecture and history of art, asian and middle eastern studies, business and management, clinical medicine and clinical veterinary medicine, computer laboratory, earth sciences and geography, scott polar institute, engineering, history and philosophy of science, land economy, mathematics, modern and medieval languages and linguistics, physics and chemistry, politics and international studies, archaeology and social anthropology.

The thesis is not to exceed 80,000 words (approx. 350 pages) for the PhD degree and 60,000 words for the MSc or MLitt degree. These limits include all text, figures, tables and photographs, but exclude the bibliography, cited references and appendices. More detailed specifications should be obtained from the Division concerned. Permission to exceed these limits will be granted only after a special application to the Degree Committee. The application must explain in detail the reasons why an extension is being sought and the nature of the additional material, and must be supported by a reasoned case from the supervisor containing a recommendation that a candidate should be allowed to exceed the word limit by a specified number of words. Such permission will be granted only under exceptional circumstances. If candidates need to apply for permission to exceed the word limit, they should do so in good time before the date on which a candidate proposes to submit the thesis, by application made to the Graduate Committee.

Biological Anthropology:

Students may choose between two alternative thesis formats for their work:

either in the form of a thesis of not more than 80,000 words in length for the PhD degree and 60,000 words for the MSc or MLitt degree. The limits include all text, in-text citations, figures, tables, captions and footnotes but exclude bibliography and appendices; or

in the form of a collection of at least three research articles for the PhD degree and two research articles for the MSc or MLitt degree, formatted as an integrated piece of research, with a table of contents, one or more chapters that outline the scope and provide an in-depth review of the subject of study, a concluding chapter discussing the findings and contribution to the field, and a consolidated bibliography. The articles may be in preparation, submitted for publication or already published, and the combined work should not exceed 80,000 words in length for the PhD degree and 60,000 words for the MSc or MLitt degree. The word limits include all text, in-text citations, figures, tables, captions, and footnotes but exclude bibliography and appendices containing supplementary information associated with the articles. More information on the inclusion of material published, in press or in preparation in a PhD thesis may be found in the Department’s PhD submission guidelines.

Architecture:

The thesis is not to exceed 80,000 words for the PhD and 60,000 words for the MSc or MLitt degree. Footnotes, references and text within tables are to be counted within the word-limit, but captions, appendices and bibliographies are excluded. Appendices should be confined to such items as catalogues, original texts, translations of texts, transcriptions of interview, or tables.

History of Art:

The thesis is not to exceed 80,000 words for the PhD and 60,000 words for the MLitt degree. To include: footnotes, table of contents and list of illustrations, but excluding acknowledgements and the bibliography. Appendices (of no determined word length) may be permitted subject to the approval of the candidate's Supervisor (in consultation with the Degree Committee); for example, where a catalogue of works or the transcription of extensive primary source material is germane to the work. Permission to include such appendices must be requested from the candidate's Supervisor well in advance of the submission of the final thesis. NB: Permission for extensions to the word limit for most other purposes is likely to be refused.

The thesis is for the PhD degree not to exceed 80,000 words exclusive of footnotes, appendices and bibliography but subject to an overall word limit of 100,000 words exclusive of bibliography. For the MLitt degree not to exceed 60,000 words inclusive of footnotes but exclusive of bibliography and appendices.

The thesis for the PhD is not to exceed 60,000 words in length (80,000 by special permission), exclusive of tables, footnotes, bibliography, and appendices. Double-spaced or one-and-a-half spaced. Single or double-sided printing.

The thesis for the MPhil in Biological Science is not to exceed 20,000 words in length, exclusive of tables, footnotes, bibliography, and appendices. Double-spaced or one-and-a-half spaced. Single or double-sided printing.

For the PhD Degree the thesis is not to exceed 80,000 words, EXCLUDING bibliography, but including tables, tables of contents, footnotes and appendices. It is normally expected to exceed 40,000 words unless prior permission is obtained from the Degree Committee. Each page of statistical tables, charts or diagrams shall be regarded as equivalent to a page of text of the same size. The Degree Committee do not consider applications to extend this word limit.

For the Doctor of Business (BusD) the thesis will be approximately 200 pages (a maximum length of 80,000 words, EXCLUDING bibliography, but including tables, tables of contents, footnotes and appendices).

For the MSc Degree the thesis is not to exceed 40,000 words, EXCLUDING bibliography, but including tables, tables of contents, footnotes and appendices.

The thesis is not to exceed 80,000 words including footnotes, references, and appendices but excluding bibliography; a page of statistics shall be regarded as the equivalent of 150 words. Only under exceptional circumstances will permission be granted to exceed this limit. Candidates must submit with the thesis a signed statement giving the length of the thesis.

For the PhD degree, not to exceed 60,000 words (or 80,000 by special permission of the Degree Committee), and for the MSc degree, not to exceed 40,000 words. These limits exclude figures, photographs, tables, appendices and bibliography. Lines to be double or one-and-a-half spaced; pages to be double or single sided.

The thesis is not to exceed, without the prior permission of the Degree Committee, 60,000 words including tables, footnotes and equations, but excluding appendices, bibliography, photographs and diagrams. Any thesis which without prior permission of the Degree Committee exceeds the permitted limit will be referred back to the candidate before being forwarded to the examiners.

The thesis is not to exceed 80,000 words for the PhD degree and the MLitt degree, including footnotes, references and appendices but excluding bibliography. Candidates must submit with the thesis a signed statement giving the length of the thesis. Only under exceptional circumstances will permission be granted to exceed this limit for the inclusion of an appendix of a substantial quantity of text which is necessary for the understanding of the thesis (e.g. texts in translation, transcription of extensive primary source material). Permission must be sought at least three months before submission of the thesis and be supported by a letter from the supervisor certifying that such exemption from the prescribed limit of length is absolutely necessary.

The thesis is not to exceed, without the prior permission of the Degree Committee, 80,000 words for the PhD degree and 60,000 words for the MSc or MLitt degree, including the summary/abstract.  The table of contents, photographs, diagrams, figure captions, appendices, bibliography and acknowledgements to not count towards the word limit. Footnotes are not included in the word limit where they are a necessary part of the referencing system used.

Earth Sciences:

The thesis is not to exceed, without the prior permission of the Degree Committee, 275 numbered pages of which not more than 225 pages are text, appendices, illustrations and bibliography. A page of text is A4 one-and-a-half-spaced normal size type. The additional 50 pages may comprise tables of data and/or computer programmes reduced in size.

If a candidate's work falls within the social sciences, candidates are expected to observe the limit described in the Department of Geography above; if, however, a candidate's work falls within the natural sciences, a candidate should observe the limit described in the Department of Earth Sciences.

Applications for the limit of length of the thesis to be exceeded must be early — certainly no later than the time when the application for the appointment of examiners and the approval of the title of the thesis is made. Any thesis which, without the prior permission of the Degree Committee, exceeds the permitted limit of length will be referred back to the candidate before being forwarded to the examiners.

The thesis is not to exceed, without the prior permission of the Degree Committee, 60,000 words including tables, footnotes, bibliography and appendices. The Degree Committee points out that some of the best thesis extend to only half this length. Each page of statistical tables, charts or diagrams shall be regarded as equivalent to a page of text of the same size.

The thesis is not to exceed 80,000 words for the PhD and EdD degrees and 60,000 words for the MSc and MLitt degrees, in all cases excluding appendices, footnotes, reference list or bibliography. Only in the most exceptional circumstances will permission be given to exceed the stated limits. In such cases, you must make an application to the Degree Committee as early as possible -and no later than three months before it is proposed to submit the thesis, having regard to the dates of the Degree Committee meetings. Your application should (a) explain in detail the reasons why you are seeking the extension and (b) be accompanied by a full supporting statement from your supervisor showing that the extension is absolutely necessary in the interests of the total presentation of the subject.

For the PhD degree, not to exceed, without prior permission of the Degree Committee, 65,000 words, including appendices, footnotes, tables and equations not to contain more than 150 figures, but excluding the bibliography. A candidate must submit with their thesis a statement signed by the candidate themself giving the length of the thesis and the number of figures. Any thesis which, without the prior permission of the Degree Committee, exceeds the permitted limit will be referred back to the candidate before being forwarded to the examiners.

The thesis is not to exceed 80,000 words or go below 60,000 words for the PhD degree and not to exceed 60,000 words or go below 45,000 words for the MLitt degree, both including all notes and appendices but excluding the bibliography. A candidate must add to the preface of the thesis the following signed statement: 'The thesis does not exceed the regulation length, including footnotes, references and appendices but excluding the bibliography.'

In exceptional cases (when, for example, a candidate's thesis largely consists of an edition of a text) the Degree Committee may grant permission to exceed these limits but in such instances (a) a candidate must apply to exceed the length at least three months before the date on which a candidate proposes to submit their thesis and (b) the application must be supported by a letter from a candidate's supervisor certifying that such exemption from the prescribed limit of length is absolutely necessary.

It is a requirement of the Degree Committee for the Faculty of English that thesis must conform to either the MHRA Style Book or the MLA Handbook for the Writers of Research papers, available from major bookshops. There is one proviso, however, to the use of these manuals: the Faculty does not normally recommend that students use the author/date form of citation and recommends that footnotes rather than endnotes be used. Bibliographies and references in thesis presented by candidates in ASNaC should conform with either of the above or to the practice specified in Cambridge Studies in Anglo-Saxon England.

Thesis presented by candidates in the Research Centre for English and Applied Linguistics must follow as closely as possible the printed style of the journal Applied Linguistics and referencing and spelling conventions should be consistent.

A signed declaration of the style-sheet used (and the edition, if relevant) must be made in the preliminary pages of the thesis.

PhD theses MUST NOT exceed 80,000 words, and will normally be near that length.

A minimum word length exists for PhD theses: 70,000 words (50,000 for MLitt theses)

The word limit includes appendices and the contents page but excludes the abstract, acknowledgments, footnotes, references, notes on transliteration, bibliography, abbreviations and glossary.  The Contents Page should be included in the word limit. Statistical tables should be counted as 150 words per table. Maps, illustrations and other pictorial images count as 0 words. Graphs, if they are the only representation of the data being presented, are to be counted as 150 words. However, if graphs are used as an illustration of statistical data that is also presented elsewhere within the thesis (as a table for instance), then the graphs count as 0 words.

Only under exceptional circumstances will permission be granted to exceed this limit. Applications for permission are made via CamSIS self-service pages. Applications must be made at least four months before the thesis is bound. Exceptions are granted when a compelling intellectual case is made.

The thesis is not to exceed 80,000 words for the PhD degree and 60,000 words for the MLitt degree, in all cases including footnotes and appendices but excluding bibliography. Permission to submit a thesis falling outside these limits, or to submit an appendix which does not count towards the word limit, must be obtained in advance from the Degree Committee.

The thesis is not to exceed 80,000 for the PhD degree and 60,000 words for the MSc or MLitt degree, both including footnotes, references and appendices but excluding bibliographies. One A4 page consisting largely of statistics, symbols or figures shall be regarded as the equivalent of 250 words. A candidate must add to the preface of their thesis the following signed statement: 'This thesis does not exceed the regulation length, including footnotes, references and appendices.'

For the PhD degree the thesis is not to exceed 80,000 words (exclusive of footnotes, appendices and bibliography) but subject to an overall word limit of 100,000 words (exclusive of bibliography, table of contents and any other preliminary matter). Figures, tables, images etc should be counted as the equivalent of 200 words for each A4 page, or part of an A4 page, that they occupy. For the MLitt degree the thesis is not to exceed 60,000 words inclusive of footnotes but exclusive of bibliography, appendices, table of contents and any other preliminary matter. Figures, tables, images etc should be counted as the equivalent of 200 words for each A4 page, or part of an A4 page, that they occupy.

Criminology:

For the PhD degree submission of a thesis between 55,000 and 80,000 words (exclusive of footnotes, appendices and bibliography) but subject to an overall word limit of 100,000 words (exclusive of bibliography, table of contents and any other preliminary matter). Figures, tables, images etc should be counted as the equivalent of 200 words for each A4 page, or part of an A4 page, that they occupy. For the MLitt degree the thesis is not to exceed 60,000 words inclusive of footnotes but exclusive of bibliography, appendices, table of contents and any other preliminary matter. Figures, tables, images etc should be counted as the equivalent of 200 words for each A4 page, or part of an A4 page, that they occupy.

There is no standard format for the thesis in Mathematics.  Candidates should discuss the format appropriate to their topic with their supervisor.

The thesis is not to exceed 80,000 words for the PhD degree and 60,000 words for the MLitt degree, including footnotes and appendices but excluding the abstract, any acknowledgements, contents page(s), abbreviations, notes on transliteration, figures, tables and bibliography. Brief labels accompanying illustrations, figures and tables are also excluded from the word count. The Degree Committee point out that some very successful doctoral theses have been submitted which extend to no more than three-quarters of the maximum permitted length.

In linguistics, where examples are cited in a language other than Modern English, only the examples themselves will be taken into account for the purposes of the word limit. Any English translations and associated linguistic glosses will be excluded from the word count.

In theses written under the aegis of any of the language sections, all sources in the language(s) of the primary area(s) of research of the thesis will normally be in the original language. An English translation should be provided only where reading the original language is likely to fall outside the expertise of the examiners. Where such an English translation is given it will not be included in the word count. In fields where the normal practice is to quote in English in the main text, candidates should follow that practice. If the original text needs to be supplied, it should be placed in a footnote. These fields include, but are not limited to, general linguistics and film and screen studies.

Since appendices are included in the word limit, in some fields it may be necessary to apply to exceed the limit in order to include primary data or other materials which should be available to the examiners. Only under the most exceptional circumstances will permission be granted to exceed the limit in other cases. In all cases (a) a candidate must apply to exceed the prescribed maximum length at least three months before the date on which a candidate proposes to submit their thesis and (b) the application must be accompanied by a full supporting statement from the candidate's supervisor showing that such exemption from the prescribed limit of length is absolutely necessary.

It is a requirement within all language sections of MMLL, and also for Film, that dissertations must conform with the advice concerning abbreviations, quotations, footnotes, references etc published in the Style Book of the Modern Humanities Research Association (Notes for Authors and Editors). For linguistics, dissertations must conform with one of the widely accepted style formats in their field of research, for example the style format of the Journal of Linguistics (Linguistic Association of Great Britain), or of Language Linguistic Society of America) or the APA format (American Psychology Association). If in doubt, linguistics students should discuss this with their supervisor and the PhD Coordinator.

The thesis is not to exceed 80,000 words for the PhD degree and 60,000 words for the MLitt degree, both excluding notes, appendices, and bibliographies, musical transcriptions and examples, unless a candidate make a special case for greater length to the satisfaction of the Degree Committee. Candidates whose work is practice-based may include as part of the doctoral submission either a portfolio of substantial musical compositions, or one or more recordings of their own musical performance(s).

PhD (MLitt) theses in Philosophy must not be more than 80,000 (60,000) words, including appendices and footnotes but excluding bibliography.

Institute of Astronomy, Department of Materials Science & Metallurgy, Department of Physics:

The thesis is not to exceed, without prior permission of the Degree Committee, 60,000 words, including summary/abstract, tables, footnotes and appendices, but excluding table of contents, photographs, diagrams, figure captions, list of figures/diagrams, list of abbreviations/acronyms, bibliography and acknowledgements.

Department of Chemistry:

The thesis is not to exceed, without prior permission of the Degree Committee, 60,000 words, including summary/abstract, tables, and footnotes, but excluding table of contents, photographs, diagrams, figure captions, list of figures/diagrams, list of abbreviations/acronyms, bibliography, appendices and acknowledgements. Appendices are relevant to the material contained within the thesis but do not form part of the connected argument. Specifically, they may include derivations, code and spectra, as well as experimental information (compound name, structure, method of formation and data) for non-key molecules made during the PhD studies.

Applicable to the PhDs in Politics & International Studies, Latin American Studies, Multi-disciplinary Studies and Development Studies for all submissions from candidates admitted prior to and including October 2017.

A PhD thesis must not exceed 80,000 words, and will normally be near that length. The word limit includes appendices but excludes footnotes, references and bibliography. Footnotes should not exceed 20% of the thesis. Discursive footnotes are generally discouraged, and under no circumstances should footnotes be used to include material that would normally be in the main text, and thus to circumvent the word limits. Statistical tables should be counted as 150 words per table. Only under exceptional circumstances, and after prior application, will the Degree Committee allow a student to exceed these limits. A candidate must submit, with the thesis, a statement signed by her or himself attesting to the length of the thesis. Any thesis that exceeds the limit will be referred back to candidate for revision before being forwarded to the examiners.

Applicable to the PhDs in Politics & International Studies, Latin American Studies, Multi-disciplinary Studies and Development Studies for all submissions from candidates admitted after October 2017.

A PhD thesis must not exceed 80,000 words, including footnotes. The word limit includes appendices but excludes the bibliography. Discursive footnotes are generally discouraged, and under no circumstances should footnotes be used to include material that would normally be in the main text. Statistical tables should be counted as 150 words per table. Only under exceptional circumstances, and after prior application, will the Degree Committee allow a student to exceed these limits. A candidate must submit, with the thesis, a statement signed by her or himself attesting to the length of the thesis. Any thesis that exceeds the limit will be referred back to candidate for revision before being forwarded to the examiners.

Only applicable to students registered for the degree prior to 1 August 2012; all other students should consult the guidance of the Faculty of Biological Sciences.

Applicable to the PhD in Psychology (former SDP students only) for all submissions made before 30 November 2013

A PhD thesis must not exceed 80,000 words, and will normally be near that length. The word limit includes appendices but excludes footnotes, references and bibliography. Footnotes should not exceed 20% of the thesis. Discursive footnotes are generally discouraged, and under no circumstances should footnotes be used to include material that would normally be in the main text, and thus to circumvent the word limits. Statistical tables should be counted as 150 words per table. Only under exceptional circumstances, and after prior application, will the Degree Committee allow a student to exceed these limits. A candidate must submit, with the thesis, a statement signed by her or himself attesting to the length of the thesis. Any thesis that exceeds the limit will be referred back to candidate for revision before being forwarded to the examiners.

Applicable to the PhD in Psychology (former SDP students only) for all submissions from 30 November 2013

A PhD thesis must not exceed 80,000 words, and will normally be near that length. The word limit includes appendices but excludes footnotes, references and bibliography. Footnotes should not exceed 20% of the thesis. Discursive footnotes are generally discouraged, and under no circumstances should footnotes be used to include material that would normally be in the main text, and thus to circumvent the word limits. Statistical tables should be counted as 150 words per table. Only under exceptional circumstances, and after prior application, will the Degree Committee allow a student to exceed these limits. Applications should be made in good time before the date on which a candidate proposes to submit the thesis, made to the Graduate Committee. A candidate must submit, with the thesis, a statement signed by her or himself attesting to the length of the thesis. Any thesis that exceeds the limit will be referred back to candidate for revision before being forwarded to the examiners.

A PhD thesis must not exceed 80,000 words, and will normally be over 60,000 words. This word limit includes footnotes and endnotes, but excludes appendices and reference list / bibliography. Figures, tables, images etc should be counted as the equivalent of 150 words for each page, or part of a page, that they occupy. Other media may form part of the thesis by prior arrangement with the Degree Committee. Students may apply to the Degree Committee for permission to exceed the word limit, but such applications are granted only rarely. Candidates must submit, with the thesis, a signed statement attesting to the length of the thesis.

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Masters of Science by Research and Dissertation (MSc) and Masters of Arts by Research (MA)

The period of registration for these degrees is one year full-time or two years part-time. You will normally need a first or second class honours degree or equivalent in a subject appropriate to the proposed field of research.

The degree involves investigation and evaluation of an approved research topic and the presentation of a dissertation. This is between 15,000 and 20,000 words long, depending on the subject discipline. It will be the subject of an oral examination, in which you will show how you have critically investigated your area of research.

The award of MSc by Research and Dissertation or MA by Research is at Level 7 (postgraduate masters level) . This is the same as MPhil, but only carries half the credits (180).

In exceptional circumstances, we may consider you for admission to a research degree without the conventional qualifications. If you have substantial relevant professional experience, including publications or written reports, the University will consider these as a potential alternative basis for an application for admission to a research degree programme.

Please note that these programmes are not available for business-related research topics.

Read about our past and current research students and their research projects:

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How Long is a Masters Thesis? [Your writing guide]

Writing a Masters thesis can be quite the undertaking. It presents the research findings of your graduate-level masters study. It can be difficult to work out exactly how much you need to write to pass your masters degree because you can generate so much research throughout your course.

The average masters thesis is typically between 50 and 100 pages long. The length of the thesis will vary depending on the discipline and the university requirements but will typically be around 25,000 to 50,000 words in length.

My Masters thesis in theoretical computational chemistry was 60 pages long. It was quite short for a master’s thesis in chemistry because of the theoretical computational twist. Some organic chemistry Master theses were much longer – in terms of pages – because they relied on a lot of diagrams and schematics to explain their work.

Irrespective of its length, a master’s thesis must demonstrate an individual’s ability to conduct independent research and to effectively express their findings in writing.

It must pass peer-review and is often accompanied with a short oral presentation about the work to an academic committee put together by their advisor.

It must also show that the student has acquired sufficient knowledge about their chosen subject to contribute to existing scholarship in their field. Once you have graduated with your masters you can then consider whether or not a PhD is a good option for your career goals.

How Many Pages Should a Master Thesis Have?

Typically, a master thesis is expected to be anywhere between 100-200 pages long depending on the research field and topic.

In general, most master theses should have at least 30-40 pages of research content (including a literature review) with an additional 10-20 pages for other aspects of academic reports such as acknowledgements, appendices, abstracts, references and schematics or diagrams.

Furthermore, certain schools may require that your master thesis meet additional criteria such as formatting guidelines or word counts in order to be considered complete.

Your supervisor should not let your master’s thesis go to examination if it does not meet the minimum requirements for your specific field. Your academic supervisor will be your biggest asset while writing your master’s thesis.

If you want to know more about how long a Masters’s thesis and PhD dissertation is you can check out my other articles:

• How long is a Thesis or dissertation? [the data]
• Is writing a masters thesis hard? Tips on how to write a thesis
• How to write a masters thesis in 2 months [Easy steps to start writing]

How is a Masters thesis assessed and examined?

A Masters dissertation is assessed by academics in your department or university and it may also include an external examination by experts in the specific field you are studying.

The thesis will typically require a student to conduct extensive research to answer a research question and come up with an original argument or thesis on the topic.

Once the thesis has been written, the student must submit it to their faculty or university for assessment and examination.

The university will then grade the dissertation based on its content, structure, and accuracy. Most universities require that the dissertation be at least 60 pages in length and be written according to academic standards of writing and style guides.

These academic writing style guides can be very confusing and are often not something people have encountered before. However, reaching out to, and using the services of, a trusted editor will help make the process much easier.

The faculty at the university will then assess the submitted dissertation and provide feedback to help guide the student in making any necessary corrections or revisions before finally submitting it for examination.

Sometimes the examiners will require the thesis to undergo small amendments.

This is quite normal and you will be expected to address each of the criticisms before being admitted to your degree.

Also, many institutions require a public presentation on your Masters research for admission to the degree. This can be relatively nerve racking for young career academics. Nonetheless, presenting your work to a general audience is always good experience and will help prepare you for a PhD if you decide to pursue further research studies.

Effective tips on how to write a thesis successfully

Writing a master’s thesis is not an easy task and many students struggle to complete it with a smile on their faces.

Making sure that you work on your thesis little by little and that you do not get bogged down in the details too quickly is an important step to finishing your thesis without it causing too much mental anguish.

However, writing a thesis is often a very challenging thing no matter what you do. You can check out more about this in my YouTube video below right talk about the unglamorous truths about writing a thesis, whether it Masters, PhD or for peer review.

Small chunks

Work on your thesis in small chunks. Do not think of it as one big thesis but rather as small chapters and subsections within that chapter.

I actually had multiple documents with different chapters and did not combine my thesis until the end. This allowed me to compartmentalise my work and ensure that I was focused on one aspect of the thesis at a time without jumping between many other sections – which would have been a huge distraction.

Get feedback as often as possible

I’ve always been incredibly lucky with my research supervisors. I’ve been able to get feedback about my writing quickly and effectively.

Speak to your research supervisor about what would be an appropriate amount of work for them to mark at any given time.

Some supervisors like small amounts of work – such as a chapter or a subsection, whilst others prefer to have full chapters submitted at a time.

Try to work out the smallest amount of work they be happy to look over as then you can get feedback much quicker.

Also, you can reach out to other supervisors and academics that may be able to give you feedback on your writing. You do not just have two work with your primary supervisor when looking for feedback.

Do what you must to get through

Even though many helpful PhD and thesis writing blogs and videos talk about making yourself as productive as possible, the truth is sometimes you have to do whatever you can to get through.

For example, I used to eat a lot of chocolate and drink a lot of energy drinks to try to focus myself while writing up my thesis.

I only did this for a short period of time and it certainly wasn’t sustainable. But, when you have got a tight deadline sometimes you just have to do whatever you can to get through your writer’s block.

Protect your flow

Protect your flow as much as possible. Getting into a flow state can be achieved regularly if you change your environment to make sure that you are able to focus effectively.

For example, I like to completely turn off my mobile phone and email or other computer notifications so that I can focus for at least one hour on writing my thesis.

You may also find white noise helpful if you are in a particularly noisy environment such as a shared office.

If you find yourself becoming distracted – remove that distraction as best you can. Protecting your flow and working for one-hour blocks will really help you finish on time.

Wrapping up

This article has been through everything you need to know about the length of a Masters thesis and how to write your thesis effectively.

The length of a Masters thesis is very much dependent on the field of study and the University’s requirements for your course. Nonetheless, they are typically between 50 and 200 pages long and are examined by experts in the field and other academics before you are admitted into the degree.

There may also be a short presentation that is given to the public or academics in your department.

Dr Andrew Stapleton has a Masters and PhD in Chemistry from the UK and Australia. He has many years of research experience and has worked as a Postdoctoral Fellow and Associate at a number of Universities. Although having secured funding for his own research, he left academia to help others with his YouTube channel all about the inner workings of academia and how to make it work for you.

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Presenting your thesis

 formatting your thesis.

Please refer to Regulation 7.4.2 for important information on how to format your thesis.

The Library Services guide 'Presenting your thesis' has been written as the standard for all theses presented for research degrees in the University of Birmingham. 

It offers guidance on the practicalities of producing your thesis in a format that is acceptable for examination and for deposit in the library. This guide does not deal with the content and academic standard required of a thesis and on these matters you are advised to consult University Regulations, your supervisor and guidance issued by your School.

Please also see the  Getting your thesis ready workshop webpage .

 Thesis word limit

On submitting your thesis for examination you are required to complete a declaration form confirming the word length of your thesis. You should therefore be aware of the maximum word length for your thesis. See  Regulation 7.4.2 (d).

The stated maximum number of words excludes tables, diagrams (including associated legends), appendices, list of references, footnotes and endnotes, the bibliography and any bound published material. For information on referencing styles see the  iCite – referencing at the University of Birmingham  webpages.

A thesis that exceeds the maximum number of words will not be accepted for examination unless permission to exceed the stated word count has been granted by the Research Progress & Awards Sub Panel. Permission to exceed the stated word count is only granted in exceptional circumstances. If you consider that you will not be able to meet the stated word limited, you are advised to discuss this with your supervisor at an early stage.

 Language of your thesis

 acknowledging collaborative work.

If any material is included in your thesis which is a result of collaborative working, you must include details of how much of the work is your own and how much is that of other people. See Regulation 7.4.1 (h).

It is also important to seek the prior agreement of those other people to make your thesis available in the University eTheses Repository. 

 Previously published or submitted work

You may include work that has already been published providing the work is properly integrated, either in the thesis or as an appendix to which reference is made - see  Regulation 7.4.1 (g). It must be adequately referenced and you are advised to consult with your supervisor if you are unsure about the inclusion of any previously published work in your thesis. 

For additional information please refer to the Copyright for Researchers web page

You may not include material for assessment which has already been submitted for another degree awarded at this or any other University, unless all of the conditions set out in Regulation 7.4.1 (f) are satisfied.

If you are considering including published papers in your thesis, please read the alternative format thesis guide (Word - 22KB).

 Plagiarism

Plagiarism is a form of cheating and is a serious academic offence. It arises where work submitted is not the student's own and has been taken from another source. The original material is then hidden from the marker, either by not referencing it properly, by paraphrasing it or by not mentioning it at all.

For further information see the University’s Guidance on plagiarism for students .

All theses submitted for examination are checked through plagiarism detection software.

 Editorial help for PGR theses

A thesis submitted for examination at the University of Birmingham must be solely the postgraduate researcher’s own work (except where University Regulations permit the inclusion of appropriately referenced collaborative research or work – see Regulation 7.4.1 . A postgraduate researcher must not employ a ‘ghost writer’ to write parts or all of the thesis, whether in draft or as a final version, on his/her behalf.

Editors, whether they are formal supervisors, informal mentors, family or friends or professional, need to be clear about the extent and nature of help they offer in the editing of University of Birmingham PGRs theses and dissertations. Supervisors of PGRs also need to be clear about the role of the third party editors as well as their own editorial role.

PGRs may use third party editorial assistance (paid or voluntary) from an outside source.  This must be with the knowledge and support of supervisors and the use of third party editorial assistance must be stated in the thesis acknowledgement page.

A ‘third party’ editor cannot be used :

• To change the text of the thesis so as to clarify and/or develop the ideas and arguments;
• To reduce the length of the thesis so it falls within the specified word limit;
• To correct information within the thesis;
• To change ideas and arguments put forward within the thesis; and/or
• To translate the thesis into English.

A ‘third party’ editor can be used to offer advice on:

• Spelling and punctuation;
• Formatting and sorting of footnotes and endnotes for consistency and order;
• Ensuring the thesis follows the conventions of grammar and syntax in written English;
• Shortening long sentences and editing long paragraphs;
• Changing passives and impersonal usages into actives, vice versa as may be appropriate;
• Improving the positioning of tables and illustrations and the clarity, grammar, spelling and punctuation of any text in or under tables and illustrations; and
• Ensuring consistency of page numbers, headers and footers.

Where a third party editor is used it is the PGR’s responsibility to provide the third party editor with a copy of this statement (Word - 20KB)  and ensure they complete the Third Party Editor Declaration Form (Word - 32KB)  confirming their compliance with this statement.

When submitting the thesis the PGR must record in the Acknowledgements page the form of contribution the ‘third party’ editor has made, by stating for example, “this thesis was copy edited for conventions of language, spelling and grammar by ABC Editing Ltd”.

Please also see the Code of Practice on Academic Integrity .

 Intellectual property rights

These rights generally belong to the student, but if your work is considered to be commercially significant students may be required to assign their rights to the University. 

For further information please see:

• University Regulation 5.4 covering Intellectual Property
• Regulation 3.16 covering Patents and The Exploitation of Inventions
• The Copyright for Researchers webpage

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How to write an undergraduate university dissertation

Writing a dissertation is a daunting task, but these tips will help you prepare for all the common challenges students face before deadline day.

Grace McCabe

Writing a dissertation is one of the most challenging aspects of university. However, it is the chance for students to demonstrate what they have learned during their degree and to explore a topic in depth.

In this article, we look at 10 top tips for writing a successful dissertation and break down how to write each section of a dissertation in detail.

10 tips for writing an undergraduate dissertation

1. Select an engaging topic Choose a subject that aligns with your interests and allows you to showcase the skills and knowledge you have acquired through your degree.

2. Research your supervisor Undergraduate students will often be assigned a supervisor based on their research specialisms. Do some research on your supervisor and make sure that they align with your dissertation goals.

3. Understand the dissertation structure Familiarise yourself with the structure (introduction, review of existing research, methodology, findings, results and conclusion). This will vary based on your subject.

4. Write a schedule As soon as you have finalised your topic and looked over the deadline, create a rough plan of how much work you have to do and create mini-deadlines along the way to make sure don’t find yourself having to write your entire dissertation in the final few weeks.

5. Determine requirements Ensure that you know which format your dissertation should be presented in. Check the word count and the referencing style.

6. Organise references from the beginning Maintain an alphabetically arranged reference list or bibliography in the designated style as you do your reading. This will make it a lot easier to finalise your references at the end.

7. Create a detailed plan Once you have done your initial research and have an idea of the shape your dissertation will take, write a detailed essay plan outlining your research questions, SMART objectives and dissertation structure.

8. Keep a dissertation journal Track your progress, record your research and your reading, and document challenges. This will be helpful as you discuss your work with your supervisor and organise your notes.

9. Schedule regular check-ins with your supervisor Make sure you stay in touch with your supervisor throughout the process, scheduling regular meetings and keeping good notes so you can update them on your progress.

10. Employ effective proofreading techniques Ask friends and family to help you proofread your work or use different fonts to help make the text look different. This will help you check for missing sections, grammatical mistakes and typos.

What is a dissertation?

A dissertation is a long piece of academic writing or a research project that you have to write as part of your undergraduate university degree.

It’s usually a long essay in which you explore your chosen topic, present your ideas and show that you understand and can apply what you’ve learned during your studies. Informally, the terms “dissertation” and “thesis” are often used interchangeably.

How do I select a dissertation topic?

First, choose a topic that you find interesting. You will be working on your dissertation for several months, so finding a research topic that you are passionate about and that demonstrates your strength in your subject is best. You want your topic to show all the skills you have developed during your degree. It would be a bonus if you can link your work to your chosen career path, but it’s not necessary.

Second, begin by exploring relevant literature in your field, including academic journals, books and articles. This will help you identify gaps in existing knowledge and areas that may need further exploration. You may not be able to think of a truly original piece of research, but it’s always good to know what has already been written about your chosen topic.

Consider the practical aspects of your chosen topic, ensuring that it is possible within the time frame and available resources. Assess the availability of data, research materials and the overall practicality of conducting the research.

When picking a dissertation topic, you also want to try to choose something that adds new ideas or perspectives to what’s already known in your field. As you narrow your focus, remember that a more targeted approach usually leads to a dissertation that’s easier to manage and has a bigger impact. Be ready to change your plans based on feedback and new information you discover during your research.

How to work with your dissertation supervisor?

Your supervisor is there to provide guidance on your chosen topic, direct your research efforts, and offer assistance and suggestions when you have queries. It’s crucial to establish a comfortable and open line of communication with them throughout the process. Their knowledge can greatly benefit your work. Keep them informed about your progress, seek their advice, and don’t hesitate to ask questions.

1. Keep them updated Regularly tell your supervisor how your work is going and if you’re having any problems. You can do this through emails, meetings or progress reports.

2. Plan meetings Schedule regular meetings with your supervisor. These can be in person or online. These are your time to discuss your progress and ask for help.

3. Share your writing Give your supervisor parts of your writing or an outline. This helps them see what you’re thinking so they can advise you on how to develop it.

5. Ask specific questions When you need help, ask specific questions instead of general ones. This makes it easier for your supervisor to help you.

6. Listen to feedback Be open to what your supervisor says. If they suggest changes, try to make them. It makes your dissertation better and shows you can work together.

7. Talk about problems If something is hard or you’re worried, talk to your supervisor about it. They can give you advice or tell you where to find help.

8. Take charge Be responsible for your work. Let your supervisor know if your plans change, and don’t wait if you need help urgently.

Remember, talking openly with your supervisor helps you both understand each other better, improves your dissertation and ensures that you get the support you need.

How to write a successful research piece at university How to choose a topic for your dissertation Tips for writing a convincing thesis

How do I plan my dissertation?

It’s important to start with a detailed plan that will serve as your road map throughout the entire process of writing your dissertation. As Jumana Labib, a master’s student at the University of Manchester  studying digital media, culture and society, suggests: “Pace yourself – definitely don’t leave the entire thing for the last few days or weeks.”

Decide what your research question or questions will be for your chosen topic.

Break that down into smaller SMART (specific, measurable, achievable, relevant and time-bound) objectives.

Speak to your supervisor about any overlooked areas.

Create a breakdown of chapters using the structure listed below (for example, a methodology chapter).

Define objectives, key points and evidence for each chapter.

Define your research approach (qualitative, quantitative or mixed methods).

Outline your research methods and analysis techniques.

Develop a timeline with regular moments for review and feedback.

Allocate time for revision, editing and breaks.

Consider any ethical considerations related to your research.

Stay organised and add to your references and bibliography throughout the process.

Remain flexible to possible reviews or changes as you go along.

A well thought-out plan not only makes the writing process more manageable but also increases the likelihood of producing a high-quality piece of research.

How to structure a dissertation?

The structure can depend on your field of study, but this is a rough outline for science and social science dissertations:

Introduce your topic.

Complete a source or literature review.

Describe your research methodology (including the methods for gathering and filtering information, analysis techniques, materials, tools or resources used, limitations of your method, and any considerations of reliability).

Summarise your findings.

Discuss the results and what they mean.

Conclude your point and explain how your work contributes to your field.

On the other hand, humanities and arts dissertations often take the form of an extended essay. This involves constructing an argument or exploring a particular theory or analysis through the analysis of primary and secondary sources. Your essay will be structured through chapters arranged around themes or case studies.

All dissertations include a title page, an abstract and a reference list. Some may also need a table of contents at the beginning. Always check with your university department for its dissertation guidelines, and check with your supervisor as you begin to plan your structure to ensure that you have the right layout.

How long is an undergraduate dissertation?

The length of an undergraduate dissertation can vary depending on the specific guidelines provided by your university and your subject department. However, in many cases, undergraduate dissertations are typically about 8,000 to 12,000 words in length.

“Eat away at it; try to write for at least 30 minutes every day, even if it feels relatively unproductive to you in the moment,” Jumana advises.

How do I add references to my dissertation?

References are the section of your dissertation where you acknowledge the sources you have quoted or referred to in your writing. It’s a way of supporting your ideas, evidencing what research you have used and avoiding plagiarism (claiming someone else’s work as your own), and giving credit to the original authors.

Referencing typically includes in-text citations and a reference list or bibliography with full source details. Different referencing styles exist, such as Harvard, APA and MLA, each favoured in specific fields. Your university will tell you the preferred style.

Using tools and guides provided by universities can make the referencing process more manageable, but be sure they are approved by your university before using any.

How do I write a bibliography or list my references for my dissertation?

The requirement of a bibliography depends on the style of referencing you need to use. Styles such as OSCOLA or Chicago may not require a separate bibliography. In these styles, full source information is often incorporated into footnotes throughout the piece, doing away with the need for a separate bibliography section.

Typically, reference lists or bibliographies are organised alphabetically based on the author’s last name. They usually include essential details about each source, providing a quick overview for readers who want more information. Some styles ask that you include references that you didn’t use in your final piece as they were still a part of the overall research.

It is important to maintain this list as soon as you start your research. As you complete your research, you can add more sources to your bibliography to ensure that you have a comprehensive list throughout the dissertation process.

How to proofread an undergraduate dissertation?

Throughout your dissertation writing, attention to detail will be your greatest asset. The best way to avoid making mistakes is to continuously proofread and edit your work.

Proofreading is a great way to catch any missing sections, grammatical errors or typos. There are many tips to help you proofread:

Ask someone to read your piece and highlight any mistakes they find.

Change the font so you notice any mistakes.

Format your piece as you go, headings and sections will make it easier to spot any problems.

Separate editing and proofreading. Editing is your chance to rewrite sections, add more detail or change any points. Proofreading should be where you get into the final touches, really polish what you have and make sure it’s ready to be submitted.

Stick to your citation style and make sure every resource listed in your dissertation is cited in the reference list or bibliography.

How to write a conclusion for my dissertation?

Writing a dissertation conclusion is your chance to leave the reader impressed by your work.

Start by summarising your findings, highlighting your key points and the outcome of your research. Refer back to the original research question or hypotheses to provide context to your conclusion.

You can then delve into whether you achieved the goals you set at the beginning and reflect on whether your research addressed the topic as expected. Make sure you link your findings to existing literature or sources you have included throughout your work and how your own research could contribute to your field.

Be honest about any limitations or issues you faced during your research and consider any questions that went unanswered that you would consider in the future. Make sure that your conclusion is clear and concise, and sum up the overall impact and importance of your work.

Remember, keep the tone confident and authoritative, avoiding the introduction of new information. This should simply be a summary of everything you have already said throughout the dissertation.

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• How Long Is a PhD Thesis?
• Doing a PhD

It’s no secret that one of the most challenging aspects of a PhD degree is the volume of work that goes into writing your thesis . So this raises the question, exactly how long is a thesis?

Unfortunately, there’s no one size fits all answer to this question. However, from the analysis of over 100 PhD theses, the average thesis length is between 80,000 and 100,000 words. A further analysis of 1000 PhD thesis shows the average number of pages to be 204 . In reality, the actual word count for each PhD thesis will depend on the specific subject and the university it is being hosted by. This is because universities set their own word length requirements, with most found to be opting for around 100,000.

To find out more about how these word limits differ between universities, how the average word count from STEM thesis differ from non-STEM thesis and a more detailed breakdown from the analysis of over 1000 PhDs, carry on reading the below.

Word Count Differences Between Universities

For any PhD student writing a thesis, they will find that their document will be subject to a word limit set by their university. In nearly all cases, the limit only concerns the maximum number of words and doesn’t place any restrictions on the minimum word limit. The reason for this is that the student will be expected to write their thesis with the aim of clearly explaining their research, and so it is up to the student to determine what he deems appropriate.

Saying this, it is well accepted amongst PhD students and supervisors that the absence of a lower limit doesn’t suggest that a thesis can be ‘light’. Your thesis will focus on several years worth of original research and explore new ideas, theories or concepts. Besides this, your thesis will need to cover a wide range of topics such as your literature review, research methodology, results and conclusion. Therefore, your examiners will expect the length of your thesis to be proportional to convey all this information to a sufficient level.

Selecting a handful of universities at random, they state the following thesis word limits on their website:

• University of Edinburgh: 100,000
• University of Exeter: 100,000
• University of Leister: 80,000
• University of Bath: 80,000
• University of Warwick: 70,000

The above universities set upper word limits that apply across the board, however, some universities, such as the University of Birmingham and the University of Sheffield, set different word limits for different departments. For example, the University of Sheffield adopts these limits:

• Arts & Humanities: 75,000
• Medicine, Dentistry & Health: 75,000
• Science: 80,000
• Social Sciences: 75,000-100,000

Although there’s a range of limit, it’s safe to say that the majority fall within the 80,000 to 100,000 bracket.

Word Count Based on Data from past Theses

A poll of 149 postdocs.

In mid-2019, Dr Eva Lantsoght, a published author, academic blogger and Structural Engineering Professor, conducted a poll which asked postgraduate doctoral students to share the length of their final thesis. 149 PostDoc students responded to the survey, with the majority reporting a length falling within the ‘80,000 – 120,000 words’ bracket as seen below.

Analysis of 1000 PhD Theses

Over a three-year time period, Dr Ian Brailsford, a then Postgraduate Learning Adviser at the University of Auckland, analysed 1000 doctoral thesis submitted to his university’s library. The PhD theses which formed the basis of his analysis were produced between 2008 to 2017 and showed:

• Average number of pages = 204
• Median number of pages = 198
• Average number of chapters = 7.6

We should note that the above metrics only cover the content falling within the main body of the thesis. This includes the introduction, literature review, methods section, results chapter, discussions and conclusions. All other sections, such as the title page, abstract, table of contents, acknowledgements, bibliography and appendices were omitted from the count.

Although it’s impossible to draw the exact word count from the number of pages alone, by using the universities recommended format of 12pt Times New Roman and 1.5 lines spacing, and assuming 10% of the main body are figures and footnotes, this equates to an average main body of 52,000 words.

STEM vs Non-STEM

As part of Dr Ian Brailsford’s analysis, he also compared the length of STEM doctorate theses to non-STEM theses. He found that STEM theses tended to be shorter. In fact, he found STEM theses to have a medium page length of 159 whilst non-STEM theses had a medium of around 223 pages. This is a 40% increase in average length!

Can You Exceed the Word Count?

Whilst most universities will allow you to go over the word count if you need to, it comes with the caveat that you must have a very strong reason for needing to do so. Besides this, your supervisor will also need to support your request. This is to acknowledge that they have reviewed your situation and agree that exceeding the word limit will be absolutely necessary to avoid detriment unnecessary detriment to your work.

This means that whilst it is possible to submit a thesis over 100,000 words or more, it’s unlikely that your research project will need to.

How Does This Compare to a Masters Dissertation?

The average Masters dissertation length is approximately 20,000 words whilst a thesis is 4 to 5 times this length at approximately 80,000 – 100,000.

The key reason for this difference is because of the level of knowledge they convey. A Master’s dissertation focuses on concluding from existing knowledge whilst a PhD thesis focuses on drawing a conclusion from new knowledge. As a result, the thesis is significantly longer as the new knowledge needs to be well documented so it can be verified, disseminated and used to shape future research.

Finding a PhD has never been this easy – search for a PhD by keyword, location or academic area of interest.

Related Reading

Unfortunately, the completion of your thesis doesn’t mark the end of your degree just yet. Once you submit your thesis, it’s time to start preparing for your viva – the all-to-fun thesis defence interview! To help you prepare for this, we’ve produced a helpful guide which you can read here: The Complete Guide to PhD Vivas.

Browse PhDs Now

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• Preparing your thesis

Master's dissertations

‌‌‌‌For a full list of departments with MScs and dissertations in Spiral, see  Theses

Depositing Master's dissertations in Spiral

The deposit of Master's dissertations is managed by departments and is not mandatory. 

Administrators in each department are responsible for collating all dissertations as PDF files and for creating their bibliographic data. ICT then upload the files and data to Spiral.

If your department would like to do this, please note:

• your departmental administrators will be responsible for the data entry
• you must use the Masters dissertations template  (Excel) for data entry
• you must follow the data entry and upload guidelines, see  Guidelines for uploading Master's dissertations to Spiral (pdf)
• you must upload the files and completed spreadsheet to OneDrive, as per the upload guidelines

For further assistance contact your librarian

Finding dissertations and theses

How to find university of bath dissertations and theses in the library and online or search other libraries for theses and dissertations..

• Undergraduate dissertations and project reports

Undergraduate dissertations and project reports are not provided by the Library in either online or printed format.

• Masters dissertations

A sample of dissertations submitted for taught Masters degree courses are kept for five years and made available online to members of the University of Bath only.  You may also like to ask your academic department whether they can provide access to any additional dissertations.

• View dissertations listed by degree programme
• How to submit your dissertation to the Library
• Theses (University of Bath)

Information about submitting your thesis

How to search for a University of Bath thesis : the Library holds copies of all theses submitted to the University of Bath. You can access them via the following options:

Online : theses submitted since 1967 are available through the Research Portal - you can filter theses by department. Links to digitised theses can be found in the Library Catalogue .

Print copies of theses are available for reading in the Library only. Search for a title using the Library Catalogue. Request a thesis at the Reader Services Desk on Level 2. Please note: theses submitted in the past 13 years are available immediately but theses submitted more than 13 years ago will not be available until the next working day.

Theses listed by department (print and online) : some recent theses will not appear in these lists. To view online copies only, click a link below and then click the 'full text online' option.

• Architecture and Civil Engineering
• Biology and Biochemistry - up to 2022 when incorporated into Life Sciences
• Chemical Engineering
• Computer Science
• Engineering and Applied Science
• Electronic and Electrical Engineering
• European Studies and Modern Languages
• Life Sciences
• Mathematical Sciences
• Mechanical Engineering
• Pharmacy and Pharmacology - up to 2022 when incorporated into Life Sciences
• Politics, Languages and International Studies
• Social and Policy Sciences
• Sport and Exercise Science 2002-2004 : for more recent theses, click the Health link above
• Theses and dissertations from other institutions
• EThOS: the UK’s national thesis service
• Proquest Dissertations & Theses Global (PQDT): is the world's most comprehensive collection of full-text dissertations and theses. Presentation explaining how to search PQDT (52 minutes).
• EBSCO Open Dissertations: provides the full text of open access dissertations and theses free of charge
• NDLTD: Networked Digital Library of Theses and Dissertations
• OATD: Open Access Theses and Dissertations
• DART-Europe
• Theses Canada
• Trove:  theses & other content from the National Library of Australia 

If you have any questions, please contact us.

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Open Access Theses

At the University of Wolverhampton  theses for research degrees are deposited in WIRE  on an open access basis. By releasing theses on this basis there are various benefits for the author, but also for the research community:  

• Evidence of your achievement. Some employers and funders ask for evidence of the award of a degree, and a record in WIRE can provide that information, as well as allowing employers and funders to see the quality of your research.  
• A wider audience for your thesis. Monthly thesis downloads from WIRE are often between 6,000 and 8,000 per month (see graph below), with an average 13 downloads per thesis. The most popular theses are downloaded around 250 times a month.  
• Potential for citations. Though theses are generally less likely to be cited than officially published research like journal articles, Google Scholar shows that a 2007 thesis in WIRE have been cited 198 times. Other theses have been cited around 20 times.  
• Teaching aid. Having access to theses can help researchers understand how to structure their own thesis.  
• Reduces duplication. If a researcher can see that research has already taken place, they are less likely to reproduce the same research, and can build on the research base that is already there.  

Theses are released under a CC  BY-NC-ND  licence by default, which means that other people cannot make money from your thesis, and no derivatives can be made from your thesis without your express permission. However, if you would like your thesis to be shared under a more permissive licence, the  Scholarly Communications Team  will be happy to explore your options.  

R estricting access to a thesis  

While it is rare that a thesis in WIRE is restricted from access by the public, short term embargoes can be requested. A relevant example may be if an author is looking to publish their thesis, and their chosen publisher requires that the thesis is not available to the public at the point of publication. Please note though that  recent research  shows that most publishers do not have this requirement or are willing to waive the requirement, as a thesis will usually be rewritten to better fit a broader audience.  

To request a restriction, you must submit the  relevant form  as soon as possible via the STaR Office, and preferably no later than the NOMEX stage of your thesis. All requests are considered by the Dean of Research.  

Preparing your thesis for deposit  

Because University of Wolverhampton theses are open access, it is important that the information they contain is legally available to share. If your thesis contains sensitive information, once it has been examined that information will need to be redacted when depositing the thesis in WIRE. More details on this is available on  our webpages . In the interests of preservation, the full thesis will also be kept in WIRE, but will not be available open access.  

Stuart Bentley  

Scholarly Communications Librarian  

For more information please contact the Corporate Communications Team .

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• Entering and staying in the UK
• Visas and entry clearance

Analysis of migrants use of the Graduate route

• Home Office

Published 14 May 2024

© Crown copyright 2024

This publication is licensed under the terms of the Open Government Licence v3.0 except where otherwise stated. To view this licence, visit nationalarchives.gov.uk/doc/open-government-licence/version/3 or write to the Information Policy Team, The National Archives, Kew, London TW9 4DU, or email: [email protected] .

Where we have identified any third party copyright information you will need to obtain permission from the copyright holders concerned.

This publication is available at https://www.gov.uk/government/statistics/analysis-of-migrants-use-of-the-graduate-route/analysis-of-migrants-use-of-the-graduate-route

1. Introduction

This report looks at the journeys of foreign nationals who came to study in the UK, with a particular focus on those entering and leaving the Graduate route. It looks at who is entering the Graduate route, what they do after their Graduate leave expires, and if they extended into other leave. Additionally, it includes early insights on their earnings and employment by linking Home Office visa records to HMRC earnings data.

This report uses data that underpins the Home Office migrant journey statistical publications. The next full update of the Migrant journey covering 2023 is due to be published on 23 May 2024.

The report seeks to complement the Migration Advisory Committee’s (MAC’s) rapid review of the Graduate route published on 14 May 2024.

The report defines a migrant journey as a series of grants of leave to an individual where each grant is no more than 12 months after the expiry of the previous grant. As such, the number of new journeys in a given year within the report will not match the total number of overseas visa grants in the same period as published in the Immigration system statistics.

Overview of the Graduate route

The Graduate route was introduced in July 2021 and allows foreign students who have successfully completed a UK bachelor’s degree, postgraduate degree or other eligible course to stay in the UK for at least 2 years. Graduate visa holders can work or look for work during this period and may switch to another immigration route at any point.

It is too early to say whether the behaviours of the early adopters of the scheme will be indicative of the behaviours of later cohorts. This also applies when looking at Graduate visa holders’ earnings.

2. The Graduate Journey

What are study visa holders doing after their studies?

The proportion of students granted further leave to remain in the UK following their studies more than tripled between 2019 and 2023, from 18% to 56%.

Over half (56%) the number of students who came to the end of their studies in 2023 had further leave to remain in the UK, mostly on the Graduate route (32%) and other work routes (18%).

Figure 1: Students who came to the end of their studies by subsequent leave category

Source: Migrant journey underlying datasets, Home Office

• ‘Other work’ includes all work routes excluding the Graduate route. For example ‘Skilled Worker’ and ‘Skilled Worker - Health and Care’ visas.
• ‘Other leave’ includes all non-work routes.
• The numbers at the top of the bars are the total number of people leaving the student route in each year. This includes people whose leave came to end, and people who switched onto another route before their leave expired.

Figure 1 shows the proportion of students who remained in the UK after their studies by switching to another type of leave was between 15% and 20% in 2019 and 2020. This proportion has since increased reaching 52% in 2022 and 56% in 2023. In addition, the number of people leaving the student route increased in each year since 2019 (from 160,104 in 2019 to 350,365 in 2023), so both the number and proportion of students remaining in the UK beyond their studies has increased. While more students appear to be extending their stay by making use of the Graduate visa and other routes, we do not yet know if they will remain in the UK permanently, or whether they are just staying longer.

Before 2021, between 80% and 85% of students held no valid leave to remain in the UK following the expiry of their student leave. This proportion has fallen since 2020, reaching 44% in 2023. This period saw a number of different factors which may have affected the proportion of foreign students remaining in the UK, including the COVID-19 pandemic, the introduction of the Graduate route, and the ending of freedom of movement for EU nationals. It is difficult to unpick the extent to which these factors are impacting recent trends, however 2022 was the first year on record where more than half of student leavers were granted further leave.

Who is on the Graduate route?

The latest Immigration system statistics extensions data shows that 213,250 main applicants and 45,836 dependants were granted Graduate visas between its launch in July 2021 and the end of 2023.

Figure 2: Graduate route visas granted by year and applicant type

Source: Immigration system statistics; Extensions detailed datasets, table Exe_D01

The top 5 nationalities account for almost three-quarters (74%) of Graduate visas issued to main applicants with Indian nationals accounting for 42%.

Table 1: Top 5 nationalities granted Graduate visas (main applicants)

Table 1 shows that Indian (42%), Nigerian (11%) and Chinese (10%) nationals accounted for two-thirds of those entering the Graduate route in 2023. Indian students were proportionally more likely to switch to the Graduate route, accounting for 42% of Graduate visa grants but only 23% of Student visa expiries between 2021 and 2023; while Chinese students were proportionally less likely, accounting for only 10% of Graduate visa grants but 30% of Student visa expiries.

Those entering the Graduate route tend to be in their mid-to-late 20s, with more than half (58%) being between the ages of 24 and 29. Slightly more (52%) of the 2023 graduate entrants were male than female (48%).

113,105 students switched to the Graduate route in 2023; 69% of these students had been studying for one year or less.

Figure 3: Graduate route entrants by length of study leave between 2021 and 2023    

Source: Migrant Journey underlying datasets, Home Office

• Length of study leave is the number of complete years of valid study leave held before switching to the Graduate route.
• The numbers at the top of the bars are the total number of Graduate route entrants in each year.

Figure 3 shows that more than two-thirds (69%) of people taking up the Graduate route in 2023 had been studying for one year or less, compared with 56% in 2022. ​This is slightly higher than for those extending onto non-Graduate routes, where 60% had studied for one year or less​. This broadly aligns with the length of time students are studying in the UK more generally, with 66% of all students who came to the end of their studies in 2023 having studied for one year or less, up from 58% in 2022.

The increase in people switching within one year follows an increase in the number of one-year study visas being issued, which has more than doubled from 137,885 in 2019 to 298,383 in 2023.

For students who started their studies between 2011 and 2018, two-thirds (66%) held no leave to remain in the UK after 3 years. This fell to 61% for 2019, and 44% for the 2020 cohort who are the latest 3-year cohort. The numbers who hold no leave to remain are indicative of the proportion who should have left the UK at the point of analysis.

What do people do once their Graduate route leave ends?

25,469 people’s Graduate visas had expired by the end of 2023, with 63% switching to other routes.

The chart below presents what foreign students who had switched to the Graduate route did before their Graduate leave expired, indicated by their latest visa. However, it is too early to say whether the behaviours of early adopters of the scheme will be indicative of the behaviours of later cohorts. ​

Figure 4: Graduate visa expiries by subsequent category

Figure 4 shows that 63% of the 25,469 people whose Graduate visas had expired by the end of 2023 had switched to another route. Just under half (46%) had switched to a work route (33% extending into Skilled Worker, 9% into Skilled Worker - Health and Care, and 4% into other work routes). Smaller proportions had returned to study (7%) or switched to family (6%) or other routes (5%).

An additional 17,080 people had extended out of the Graduate route despite still holding valid leave at the end of 2023 with the majority (12,549) switching to work routes (with 8,485 into Skilled Worker, and 3,245 into Skilled Worker - Health and Care).

3. Graduate visa holder earnings

This section presents early findings on the earnings and employment of Graduate visa holders by linking Home Office visa records to HMRC’s Pay As You Earn ( PAYE ) Real Time Information ( RTI ) data.

Data is available from July 2021 (when the Graduate route was introduced) to March 2023. This means insights can be provided over one entire financial year, from April 2022 to March 2023. Findings over the whole period are provided where relevant and stated as such.

All figures and tables in this section relate to the PAYE reported gross earnings of main applicant Graduate visa holders who were aged between 18 and 65, whose visa was granted before the start of the period being looked at (and who had not switched onto any other visa type during this period).

Of the approximately 131,000 unique Graduate visa records extracted from Home Office case working systems that were granted between July 2021 and March 2023, 101,000 (77%) yielded a robust match to HMRC’s Migrant Worker Scan ( MWS ) database, allowing for the linking of these records to HMRC PAYE RTI data. A further 9,000 Graduate visas (7%) were partially matched but have been excluded from all analysis as their match was not deemed robust. Most of those who were not successfully matched to MWS are assumed to have never worked in the UK given that the reason they did not match is likely due to them not applying for a National Insurance number. However, there may be a small number of records that did not match due to differences in the information held by the Home Office and HMRC. These unmatched Graduate visa records are counted as unemployed within all figures reporting on proportions of Graduate visa holders in employment but are excluded from all analyses on earnings. See ‘ About the data ’ section for further details on methodology.

How many Graduate visa holders were in employment?

Of all Graduate visa holders in scope to earn across the whole financial year ending 2023, 73% of Graduate visa holders were in employment at some point during financial year ending 2023; however, of this 73%, the majority (63%) were not in employment for the full year.

Figure 5: Number of months Graduate visa holders worked during financial year ending 2023

Figure 5 shows the number of months in which Graduate visa holders worked during this period varied. This generally leaned towards longer spans, with 61% in employment for at least half of the financial year, and a further 27% consistently working throughout this period. Only 12% worked for less than 6 (but more than 0 months) out of the full 12 months, while 27% did not work at all. While figure 5 includes all Graduate visa holders in scope to earn across financial year ending 2023, this includes those who may have only recently graduated before this period and therefore had less time to seek employment.

How long did it take for Graduate visa holders to start earning?

Of all Graduate visa holders in scope to earn across the whole financial year ending 2023 who were in employment at some point in the financial year, 62% of Graduate visa holders were earning in the first month following their visa being granted.

One in ten (10%) started earning in the second month following their visa being granted and this proportion continues to decrease over subsequent months.

Figure 6: Month in which Graduate visa holders started earning following their visa being granted

• A small number of Graduate visa holders first earned in months that were more than 12 months following the grant of their visa. These proportions each rounded to zero and have therefore not been shown in figure 6.

How did Graduate visa holder employment differ by demographic characteristics?

Of the top 5 nationalities granted Graduate visas, Nigerian nationals were most likely to have worked at least one month (86%).

Chinese nationals were least likely of the top 5 nationalities to have worked at least one month (60%) and for the full year (18%).

Graduate visa holders aged between 25 to 34 and 35 to 49 were more likely to work at least one month compared to those aged 18 to 24 (both 76% compared to 68%). There was no notable difference in the proportion of Graduate visa holders in employment across gender.

Table 2: Proportion of Graduate visa holders in employment during financial year ending 2023 by nationality

• Proportions relate to the proportion of records where nationality was available in the data (excluding ‘all nationalities’ which relates to all available records).

How much did Graduate visa holders earn in each month?

Since the launch of the Graduate route in July 2021, the median monthly pay gradually rose from £1,227 to £1,937 in March 2023.

Figure 7: Median pay in each month from August 2021 to March 2023, where Graduate visa holders earned in the month

• August 2021 represents the first full month of earnings for those granted the Graduate visa in July 2021. This time series looks at each month in isolation and does not track the earnings of the same cohort over time.

While not directly comparable to UK labour market statistics (see ‘ About the data ’ section for further information), this reflects the wider general trend of monthly median earning for the general UK population aged between 18 and 65 across the same period ( Earnings and employment from Pay As You Earn Real Time Information ). Graduate visa holders tended to earn slightly less compared to the general UK population (approximately £300 less as of March 23). However, caution is required when comparing due to variations in cohort composition relative to the general UK population (including factors such as age, region of employment and other characteristics).

How much did Graduate visa holders earn in financial year ending 2023?

The median annual earning for the 73% of Graduate visa holders who were in employment for at least one month in financial year ending 2023 was £17,815. Whereas, for the 27% who were in employment across the entire year, this was £26,460.

Figure 8: Annual Graduate visa holder employment earnings for financial year ending 2023 by earning band

Figure 8 shows that 41% of Graduate visa holders who earned in at least one month in financial year ending 2023 earned less than £15,000. 9% of those who earned for the full year earned less than £15,000. For those in employment across the entire year, just under half (46%) earned between £20,000 and £29,999.

How did annual Graduate visa holder earnings differ by demographic characteristics?

Of the top 5 nationalities granted Graduate visas, USA nationals who worked at least one month had a noticeably higher median annual earning during financial year ending 2023 (£21,135).

In comparison, those from Pakistan had a lower median annual earning (£14,402), as did those from China (£15,762). The differences between nationalities amongst those who were employed over the full year are less stark, although the pattern is broadly similar; median earnings for USA nationals sat above the overall level at £28,000, with earnings for Pakistan nationals sitting below the overall level at £24,955.

Graduate visa holders aged between 35 to 49 who worked at least one month had a higher median annual earning (£19,328) compared to those aged between 18 to 24 and 25 to 34 (£17,701 and £17,746 respectively). Men earned a median of £17,792 (£26,879 where employed over the full year) and women earned £17,856 (£25,988 where employed over the full year).

Table 3: Median annual earnings during financial year ending 2023 by nationality

• Calculations relate to the records where nationality was available in the data set (excluding ‘all nationalities’ which relates to all available records).

What sectors do Graduate visa holders tend to work in?

Graduate visa holders were most likely to be employed within the administrative and support services sector (25%) followed by health and social work and professional, scientific and technical activities (16% and 14% respectively).

Of all Graduate visa holders in scope to earn across the whole financial year ending 2023 who were in employment at some point in the financial year (As categorised using UK Standard Industrial Classification ( SIC ) codes as defined by the Office for National Statistics ( ONS )).

Figure 9: Proportion of Graduate visa holders in employment during financial year ending 2023, by sector

• Sectors are based on the UK SIC codes, as defined by the ONS . These codes have been determined from both the Inter-Departmental Business Register ( IDBR ) and data from Companies House for each PAYE enterprise. Sector information is included where available in the data. ‘Other sectors’ contains remaining sectors with below 175 Graduate visa holders earning at some point in financial year ending 2023. Graduate visa holders may have worked in multiple sectors either concurrently across the financial year or even simultaneously.

Graduate visa holders were least likely to be employed in real estate (1%) and transportation and storage sectors (1%). A smaller proportion of Graduate visa holders worked in the administrative and support services sector for the full financial year (19%) compared to the proportion who were in employment in this sector for at least one month (25%). Compared to the other sectors, this relative proportion was notably larger, suggesting Graduate visa holders are more likely to have worked in this sector for a short period compared to other sectors.

Of the 5 largest sectors of Graduate visa holder employment, Nigerian nationals were the most likely to be working in the health and social work sector. 41% of Nigerian nationals were in employment in this sector for at least one month compared to 14% of Indian nationals, 11% of Pakistani nationals, 10% of USA nationals and 3% of Chinese nationals. Pakistani and Indian nationals were most likely to be employed in the administrative and support service activities sector (38% and 33% respectively). Chinese and USA nationals were most likely to be employed in professional, scientific and technical activities (21% of both).

How much do Graduate visa holders working in different sectors earn?

The sector with the highest annual earning for financial year ending 2023 was finance and insurance. The median earning was £34,846 for those who earned for the entire year and £27,879 for who earned in at least one month.

These annual earnings are substantially above the median annual earning for the full cohort (£26,460).

Figure 10: Median annual Graduate visa holder employment earnings for financial year ending 2023, by sector

• Sectors are based on the UK SIC codes, as defined by the ONS . These codes have been determined from both the IDBR and data from Companies House for each PAYE enterprise. Sector information is included where available in the data. ‘Other sectors’ contains remaining sectors with below 175 Graduate visa holders earning at some point in financial year ending 2023. Graduate visa holders may have worked in multiple sectors either concurrently across the financial year or even simultaneously.

Figure 10 shows that the lowest median annual earning for those Graduate visa holders employed in in at least one month of the financial year ending 2023 was for the accommodation and food service activities sector (£12,805). The administrative and support services sector had the second lowest median annual earning of £14,438 for those who earned in at least one month. The health and social work sector (the second most common sector for Graduate visa holder employment as shown in figure 9) ranked comparatively higher (£16,559). However, those in the administrative and support services sector who worked for the full financial year still earned more than those in the health and social work sector who did the same (£25,550 compared to £24,242).

The gap between the median annual earnings of those working for the full year, compared to those who worked in at least one month, was notably wider for the accommodation and food service activities (£12,805 vs £21,852) and the administrative and support services sectors (£14,438 vs £25,550) compared to the health and social work sector (£16,559 vs £24,242). This suggests that those in these 2 sectors were more likely to be in part-year or seasonal employment compared to those in the health and social work sector.

4. About the data

Migrant journey data

The ‘Migrant journey: user guide’ provides further details on this topic including definitions used, how figures are compiled, data quality and issues arising from figures based on data sourced from an administrative database.

The analysis in this report is based on an earlier data extract than the one which will be used in the upcoming Migrant journey 2023 report. As extracts are taken from a live data-matching system, there may be differences between numbers included in this report and in the upcoming Migrant journey report.

Unless stated otherwise, figures refer to the number of people (main applicants only) whose sponsored study visas and Graduate route extension visas have been successfully matched. Therefore, these figures may not match visa totals published in the Immigration system statistics .

Earnings data

Earnings data used for this report comes from a range of Home Office case working systems. Data is extracted from the Initial Status Analysis ( ISA ) system comprising data from the Case Information Database (CID), the Central Reference System (CRS) and Atlas. This includes data on grant of entry clearance (visas issues) and extensions of stay within the UK.

This data is then matched against HMRC Real Time Information ( RTI ) for Pay As You Earn ( PAYE ) data using the available common identifiers.

Where a visa record had a National Insurance number ( NINo ), this was verified against the Migrant Worker Scan ( MWS ) – a list of individuals who successfully applied for a NINo through the Department for Work and Pensions (DWP) post-16 registration process, or have had a NINo allocated to them as part of their visa granted by the Home Office – before linking to RTI . A record was deemed robust if it matched on at least 5 out of 6 of the following identifiers:

• date of birth
• nationality

Where the visa record had no NINo , fuzzy matching to MWS to assign a NINo was done using the same variables. Two primary matching methods are employed:

• precision matching
• Levenshtein edit distance ( LED )

Precision matching assesses specific variables from visa data against HMRC tax records. LED is used to match visa applicants with minor input errors in key fields, employing substitution, deletion, and replacement to compare strings. Matches where a NINo was not available were deemed robust if the record matched an MWS record on date of birth, surname, forename and at least 2 out of 3 of the following:

The visa records extracted for the purpose of matching to HMRC records in time to produce analyses for this report were extracted in a bespoke way for this data set. This means the number of records extracted may not necessarily reflect total figures presented in other published statistics for the immigration system.

These data and all figures produced from it are classified as ‘Official Statistics in Development’. This means statistics remain subject to further development and will have a wider degree of uncertainty. Please see ‘Official Statistics in Development’ . New methods are being tested to improve quality and provide better coverage across wider visa routes. Limitations of the data is explained in further detail below.

Further information about the data set used for this analysis

The data set contains all unique Graduate visa records that were successfully extracted from Home Office’ case working information databases and securely shared with HMRC.

The data set only contains main applicant Graduate visas granted to those aged 18 and over. It does not contain information on their dependants.

The data set only includes PAYE employment earnings in the UK and does not contain self-employed earnings or earnings from any other sources. This has meant that a small number of Graduate visa holders counted as unemployed might in fact have been self employed, however, the number of self employed Graduate visa holders is very small.

All figures and tables in this section relate to Graduate visa holders whose visa was granted before the start of the period being looked at and who had not switched onto any other visa type during the period.

We currently are unable to identify hours worked or whether employment is part-time or full-time.

By ‘in employment’ for the full financial year, at least some part of it or in a single month, this refers to the monthly employment level gross pay for this period being greater than £0.

Percentages are rounded to the nearest per cent. Figures are rounded to the nearest £. Where percentages are rounded, they may not total 100% because they have been rounded independently.

Age is calculated as of 5 April 2022 for analyses focusing on financial year ending March 2023 and as of the start of the month for analysis focusing on earnings within each month. All other demographic characteristics are recorded as of the time of the Graduate visa application.

A small number of Graduate visa records were missing an expiry date. All held a grant date. Where an expiry date was missing, one was imputed by adding 2 years to the grant date. This will have likely been the correct expiry date for most of these records where an expiry date was missing, however, if the Graduate visa holder was granted the 3-year visa after completing a PhD or had obtained a Graduate visa under a different expiry date, this imputation may be incorrect.

Sectors are based on the UK SIC codes, as defined by the ONS . These codes have been determined from both the IDBR and data from Companies House for each PAYE enterprise. Sector information is included where available in the data. Graduate visa holders may have worked in multiple sectors either concurrently across the financial year or even simultaneously.

Limitations of the data

While figures are derived from HMRC matched data, figures are calculated using a separate methodology to the UK labour market statistics, jointly produced by HMRC and the ONS , and cannot be directly compared to these statistics. Caution is advised when comparing to any other similar data sources of graduate or UK population earning statistics.

As with all administrative data, there will be a small number of cases where data is missing or has been inputted incorrectly. Some information submitted by employers for RTI is late, missing or incorrect.

Data cleaning was performed prior to analysis to allow for optimal matching outcomes. Duplicated visa data was also removed prior to analysis; however, some may remain in the data. We are exploring the use of an alternative data extraction method for visa records to minimise data processing errors and better reflect other published sources.

While standards for a ‘robust’ match to HMRC data have been set high, matches may still not be 100% accurate. Individuals with near identical personal details may be incorrectly identified as the same person.

Unmatched Graduate visa records are counted as unemployed within all figures reporting on proportions of Graduate visa holders in employment. Some Graduate visa holders may have been in employment but were not successfully matched due to discrepancies in the personal identifier information held in either Home Office or HMRC data used for matching. There may be instances where the likelihood of being matched differs by certain demographics or other characteristics

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