Research methodology vs. research methods
The research methodology or design is the overall strategy and rationale that you used to carry out the research. Whereas, research methods are the specific tools and processes you use to gather and understand the data you need to test your hypothesis.
To further understand research methodology, let’s explore some examples of research methodology:
a. Qualitative research methodology example: A study exploring the impact of author branding on author popularity might utilize in-depth interviews to gather personal experiences and perspectives.
b. Quantitative research methodology example: A research project investigating the effects of a book promotion technique on book sales could employ a statistical analysis of profit margins and sales before and after the implementation of the method.
c. Mixed-Methods research methodology example: A study examining the relationship between social media use and academic performance might combine both qualitative and quantitative approaches. It could include surveys to quantitatively assess the frequency of social media usage and its correlation with grades, alongside focus groups or interviews to qualitatively explore students’ perceptions and experiences regarding how social media affects their study habits and academic engagement.
These examples highlight the meaning of methodology in research and how it guides the research process, from data collection to analysis, ensuring the study’s objectives are met efficiently.
When it comes to writing your study, the methodology in research papers or a dissertation plays a pivotal role. A well-crafted methodology section of a research paper or thesis not only enhances the credibility of your research but also provides a roadmap for others to replicate or build upon your work.
Wondering how to write the research methodology section? Follow these steps to create a strong methods chapter:
At the start of a research paper , you would have provided the background of your research and stated your hypothesis or research problem. In this section, you will elaborate on your research strategy.
Begin by restating your research question and proceed to explain what type of research you opted for to test it. Depending on your research, here are some questions you can consider:
a. Did you use qualitative or quantitative data to test the hypothesis?
b. Did you perform an experiment where you collected data or are you writing a dissertation that is descriptive/theoretical without data collection?
c. Did you use primary data that you collected or analyze secondary research data or existing data as part of your study?
These questions will help you establish the rationale for your study on a broader level, which you will follow by elaborating on the specific methods you used to collect and understand your data.
Now that you have told your reader what type of research you’ve undertaken for the dissertation, it’s time to dig into specifics. State what specific methods you used and explain the conditions and variables involved. Explain what the theoretical framework behind the method was, what samples you used for testing it, and what tools and materials you used to collect the data.
Once you have explained the data collection process, explain how you analyzed and studied the data. Here, your focus is simply to explain the methods of analysis rather than the results of the study.
Here are some questions you can answer at this stage:
a. What tools or software did you use to analyze your results?
b. What parameters or variables did you consider while understanding and studying the data you’ve collected?
c. Was your analysis based on a theoretical framework?
Your mode of analysis will change depending on whether you used a quantitative or qualitative research methodology in your study. If you’re working within the hard sciences or physical sciences, you are likely to use a quantitative research methodology (relying on numbers and hard data). If you’re doing a qualitative study, in the social sciences or humanities, your analysis may rely on understanding language and socio-political contexts around your topic. This is why it’s important to establish what kind of study you’re undertaking at the onset.
Now that you have gone through your research process in detail, you’ll also have to make a case for it. Justify your choice of methodology and methods, explaining why it is the best choice for your research question. This is especially important if you have chosen an unconventional approach or you’ve simply chosen to study an existing research problem from a different perspective. Compare it with other methodologies, especially ones attempted by previous researchers, and discuss what contributions using your methodology makes.
No matter how thorough a methodology is, it doesn’t come without its hurdles. This is a natural part of scientific research that is important to document so that your peers and future researchers are aware of it. Writing in a research paper about this aspect of your research process also tells your evaluator that you have actively worked to overcome the pitfalls that came your way and you have refined the research process.
1. Remember who you are writing for. Keeping sight of the reader/evaluator will help you know what to elaborate on and what information they are already likely to have. You’re condensing months’ work of research in just a few pages, so you should omit basic definitions and information about general phenomena people already know.
2. Do not give an overly elaborate explanation of every single condition in your study.
3. Skip details and findings irrelevant to the results.
4. Cite references that back your claim and choice of methodology.
5. Consistently emphasize the relationship between your research question and the methodology you adopted to study it.
To sum it up, what is methodology in research? It’s the blueprint of your research, essential for ensuring that your study is systematic, rigorous, and credible. Whether your focus is on qualitative research methodology, quantitative research methodology, or a combination of both, understanding and clearly defining your methodology is key to the success of your research.
Once you write the research methodology and complete writing the entire research paper, the next step is to edit your paper. As experts in research paper editing and proofreading services , we’d love to help you perfect your paper!
Here are some other articles that you might find useful:
What does research methodology mean, what types of research methodologies are there, what is qualitative research methodology, how to determine sample size in research methodology, what is action research methodology.
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This is very simplified and direct. Very helpful to understand the research methodology section of a dissertation
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The methods section describes actions taken to investigate a research problem and the rationale for the application of specific procedures or techniques used to identify, select, process, and analyze information applied to understanding the problem, thereby, allowing the reader to critically evaluate a study’s overall validity and reliability. The methodology section of a research paper answers two main questions: How was the data collected or generated? And, how was it analyzed? The writing should be direct and precise and always written in the past tense.
Kallet, Richard H. "How to Write the Methods Section of a Research Paper." Respiratory Care 49 (October 2004): 1229-1232.
You must explain how you obtained and analyzed your results for the following reasons:
Bem, Daryl J. Writing the Empirical Journal Article. Psychology Writing Center. University of Washington; Denscombe, Martyn. The Good Research Guide: For Small-Scale Social Research Projects . 5th edition. Buckingham, UK: Open University Press, 2014; Lunenburg, Frederick C. Writing a Successful Thesis or Dissertation: Tips and Strategies for Students in the Social and Behavioral Sciences . Thousand Oaks, CA: Corwin Press, 2008.
I. Groups of Research Methods
There are two main groups of research methods in the social sciences:
II. Content
The introduction to your methodology section should begin by restating the research problem and underlying assumptions underpinning your study. This is followed by situating the methods you used to gather, analyze, and process information within the overall “tradition” of your field of study and within the particular research design you have chosen to study the problem. If the method you choose lies outside of the tradition of your field [i.e., your review of the literature demonstrates that the method is not commonly used], provide a justification for how your choice of methods specifically addresses the research problem in ways that have not been utilized in prior studies.
The remainder of your methodology section should describe the following:
In addition, an effectively written methodology section should:
NOTE: Once you have written all of the elements of the methods section, subsequent revisions should focus on how to present those elements as clearly and as logically as possibly. The description of how you prepared to study the research problem, how you gathered the data, and the protocol for analyzing the data should be organized chronologically. For clarity, when a large amount of detail must be presented, information should be presented in sub-sections according to topic. If necessary, consider using appendices for raw data.
ANOTHER NOTE: If you are conducting a qualitative analysis of a research problem , the methodology section generally requires a more elaborate description of the methods used as well as an explanation of the processes applied to gathering and analyzing of data than is generally required for studies using quantitative methods. Because you are the primary instrument for generating the data [e.g., through interviews or observations], the process for collecting that data has a significantly greater impact on producing the findings. Therefore, qualitative research requires a more detailed description of the methods used.
YET ANOTHER NOTE: If your study involves interviews, observations, or other qualitative techniques involving human subjects , you may be required to obtain approval from the university's Office for the Protection of Research Subjects before beginning your research. This is not a common procedure for most undergraduate level student research assignments. However, i f your professor states you need approval, you must include a statement in your methods section that you received official endorsement and adequate informed consent from the office and that there was a clear assessment and minimization of risks to participants and to the university. This statement informs the reader that your study was conducted in an ethical and responsible manner. In some cases, the approval notice is included as an appendix to your paper.
III. Problems to Avoid
Irrelevant Detail The methodology section of your paper should be thorough but concise. Do not provide any background information that does not directly help the reader understand why a particular method was chosen, how the data was gathered or obtained, and how the data was analyzed in relation to the research problem [note: analyzed, not interpreted! Save how you interpreted the findings for the discussion section]. With this in mind, the page length of your methods section will generally be less than any other section of your paper except the conclusion.
Unnecessary Explanation of Basic Procedures Remember that you are not writing a how-to guide about a particular method. You should make the assumption that readers possess a basic understanding of how to investigate the research problem on their own and, therefore, you do not have to go into great detail about specific methodological procedures. The focus should be on how you applied a method , not on the mechanics of doing a method. An exception to this rule is if you select an unconventional methodological approach; if this is the case, be sure to explain why this approach was chosen and how it enhances the overall process of discovery.
Problem Blindness It is almost a given that you will encounter problems when collecting or generating your data, or, gaps will exist in existing data or archival materials. Do not ignore these problems or pretend they did not occur. Often, documenting how you overcame obstacles can form an interesting part of the methodology. It demonstrates to the reader that you can provide a cogent rationale for the decisions you made to minimize the impact of any problems that arose.
Literature Review Just as the literature review section of your paper provides an overview of sources you have examined while researching a particular topic, the methodology section should cite any sources that informed your choice and application of a particular method [i.e., the choice of a survey should include any citations to the works you used to help construct the survey].
It’s More than Sources of Information! A description of a research study's method should not be confused with a description of the sources of information. Such a list of sources is useful in and of itself, especially if it is accompanied by an explanation about the selection and use of the sources. The description of the project's methodology complements a list of sources in that it sets forth the organization and interpretation of information emanating from those sources.
Azevedo, L.F. et al. "How to Write a Scientific Paper: Writing the Methods Section." Revista Portuguesa de Pneumologia 17 (2011): 232-238; Blair Lorrie. “Choosing a Methodology.” In Writing a Graduate Thesis or Dissertation , Teaching Writing Series. (Rotterdam: Sense Publishers 2016), pp. 49-72; Butin, Dan W. The Education Dissertation A Guide for Practitioner Scholars . Thousand Oaks, CA: Corwin, 2010; Carter, Susan. Structuring Your Research Thesis . New York: Palgrave Macmillan, 2012; Kallet, Richard H. “How to Write the Methods Section of a Research Paper.” Respiratory Care 49 (October 2004):1229-1232; Lunenburg, Frederick C. Writing a Successful Thesis or Dissertation: Tips and Strategies for Students in the Social and Behavioral Sciences . Thousand Oaks, CA: Corwin Press, 2008. Methods Section. The Writer’s Handbook. Writing Center. University of Wisconsin, Madison; Rudestam, Kjell Erik and Rae R. Newton. “The Method Chapter: Describing Your Research Plan.” In Surviving Your Dissertation: A Comprehensive Guide to Content and Process . (Thousand Oaks, Sage Publications, 2015), pp. 87-115; What is Interpretive Research. Institute of Public and International Affairs, University of Utah; Writing the Experimental Report: Methods, Results, and Discussion. The Writing Lab and The OWL. Purdue University; Methods and Materials. The Structure, Format, Content, and Style of a Journal-Style Scientific Paper. Department of Biology. Bates College.
Statistical Designs and Tests? Do Not Fear Them!
Don't avoid using a quantitative approach to analyzing your research problem just because you fear the idea of applying statistical designs and tests. A qualitative approach, such as conducting interviews or content analysis of archival texts, can yield exciting new insights about a research problem, but it should not be undertaken simply because you have a disdain for running a simple regression. A well designed quantitative research study can often be accomplished in very clear and direct ways, whereas, a similar study of a qualitative nature usually requires considerable time to analyze large volumes of data and a tremendous burden to create new paths for analysis where previously no path associated with your research problem had existed.
To locate data and statistics, GO HERE .
Knowing the Relationship Between Theories and Methods
There can be multiple meaning associated with the term "theories" and the term "methods" in social sciences research. A helpful way to delineate between them is to understand "theories" as representing different ways of characterizing the social world when you research it and "methods" as representing different ways of generating and analyzing data about that social world. Framed in this way, all empirical social sciences research involves theories and methods, whether they are stated explicitly or not. However, while theories and methods are often related, it is important that, as a researcher, you deliberately separate them in order to avoid your theories playing a disproportionate role in shaping what outcomes your chosen methods produce.
Introspectively engage in an ongoing dialectic between the application of theories and methods to help enable you to use the outcomes from your methods to interrogate and develop new theories, or ways of framing conceptually the research problem. This is how scholarship grows and branches out into new intellectual territory.
Reynolds, R. Larry. Ways of Knowing. Alternative Microeconomics . Part 1, Chapter 3. Boise State University; The Theory-Method Relationship. S-Cool Revision. United Kingdom.
Methods and the Methodology
Do not confuse the terms "methods" and "methodology." As Schneider notes, a method refers to the technical steps taken to do research . Descriptions of methods usually include defining and stating why you have chosen specific techniques to investigate a research problem, followed by an outline of the procedures you used to systematically select, gather, and process the data [remember to always save the interpretation of data for the discussion section of your paper].
The methodology refers to a discussion of the underlying reasoning why particular methods were used . This discussion includes describing the theoretical concepts that inform the choice of methods to be applied, placing the choice of methods within the more general nature of academic work, and reviewing its relevance to examining the research problem. The methodology section also includes a thorough review of the methods other scholars have used to study the topic.
Bryman, Alan. "Of Methods and Methodology." Qualitative Research in Organizations and Management: An International Journal 3 (2008): 159-168; Schneider, Florian. “What's in a Methodology: The Difference between Method, Methodology, and Theory…and How to Get the Balance Right?” PoliticsEastAsia.com. Chinese Department, University of Leiden, Netherlands.
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What should you include in your methods section, and how much detail is appropriate?
The methods section was once the most likely part of a paper to be unfairly abbreviated, overly summarized, or even relegated to hard-to-find sections of a publisher’s website. While some journals may responsibly include more detailed elements of methods in supplementary sections, the movement for increased reproducibility and rigor in science has reinstated the importance of the methods section. Methods are now viewed as a key element in establishing the credibility of the research being reported, alongside the open availability of data and results.
For example, the Reproducibility Project: Cancer Biology project set out in 2013 to replicate experiments from 50 high profile cancer papers, but revised their target to 18 papers once they understood how much methodological detail was not contained in the original papers.
What you include in your methods sections depends on what field you are in and what experiments you are performing. However, the general principle in place at the majority of journals is summarized well by the guidelines at PLOS ONE : “The Materials and Methods section should provide enough detail to allow suitably skilled investigators to fully replicate your study. ” The emphases here are deliberate: the methods should enable readers to understand your paper, and replicate your study. However, there is no need to go into the level of detail that a lay-person would require—the focus is on the reader who is also trained in your field, with the suitable skills and knowledge to attempt a replication.
A methods section that enables other researchers to understand and replicate your results is a constant principle of rigorous, transparent, and Open Science. Aim to be thorough, even if a particular journal doesn’t require the same level of detail . Reproducibility is all of our responsibility. You cannot create any problems by exceeding a minimum standard of information. If a journal still has word-limits—either for the overall article or specific sections—and requires some methodological details to be in a supplemental section, that is OK as long as the extra details are searchable and findable .
As part of PLOS’ presentation on Reproducibility and Open Publishing (part of UCSF’s Reproducibility Series ) we recommend planning the level of detail in your methods section by imagining you are writing for your future self, replicating your own work. When you consider that you might be at a different institution, with different account logins, applications, resources, and access levels—you can help yourself imagine the level of specificity that you yourself would require to redo the exact experiment. Consider:
Tip: Be sure to capture any changes to your protocols
You yourself would want to know about any adjustments, if you ever replicate the work, so you can surmise that anyone else would want to as well. Even if a necessary adjustment you made was not ideal, transparency is the key to ensuring this is not regarded as an issue in the future. It is far better to transparently convey any non-optimal methods, or methodological constraints, than to conceal them, which could result in reproducibility or ethical issues downstream.
Consider whether a visual representation of your methods could be appropriate or aid understanding your process. A visual reference readers can easily return to, like a flow-diagram, decision-tree, or checklist, can help readers to better understand the complete article, not just the methods section.
In addition to describing what you did, it is just as important to assure readers that you also followed all relevant ethical guidelines when conducting your research. While ethical standards and reporting guidelines are often presented in a separate section of a paper, ensure that your methods and protocols actually follow these guidelines. Read more about ethics .
While the level of detail contained in a methods section should be guided by the universal principles of rigorous science outlined above, various disciplines, fields, and projects have worked hard to design and develop consistent standards, guidelines, and tools to help with reporting all types of experiment. Below, you’ll find some of the key initiatives. Ensure you read the submission guidelines for the specific journal you are submitting to, in order to discover any further journal- or field-specific policies to follow, or initiatives/tools to utilize.
Tip: Keep your paper moving forward by providing the proper paperwork up front
Be sure to check the journal guidelines and provide the necessary documents with your manuscript submission. Collecting the necessary documentation can greatly slow the first round of peer review, or cause delays when you submit your revision.
Randomized Controlled Trials – CONSORT The Consolidated Standards of Reporting Trials (CONSORT) project covers various initiatives intended to prevent the problems of inadequate reporting of randomized controlled trials. The primary initiative is an evidence-based minimum set of recommendations for reporting randomized trials known as the CONSORT Statement .
Systematic Reviews and Meta-Analyses – PRISMA The Preferred Reporting Items for Systematic Reviews and Meta-Analyses ( PRISMA ) is an evidence-based minimum set of items focusing on the reporting of reviews evaluating randomized trials and other types of research.
Research using Animals – ARRIVE The Animal Research: Reporting of In Vivo Experiments ( ARRIVE ) guidelines encourage maximizing the information reported in research using animals thereby minimizing unnecessary studies. (Original study and proposal , and updated guidelines , in PLOS Biology .)
Laboratory Protocols Protocols.io has developed a platform specifically for the sharing and updating of laboratory protocols , which are assigned their own DOI and can be linked from methods sections of papers to enhance reproducibility. Contextualize your protocol and improve discovery with an accompanying Lab Protocol article in PLOS ONE .
Consistent reporting of Materials, Design, and Analysis – the MDAR checklist A cross-publisher group of editors and experts have developed, tested, and rolled out a checklist to help establish and harmonize reporting standards in the Life Sciences . The checklist , which is available for use by authors to compile their methods, and editors/reviewers to check methods, establishes a minimum set of requirements in transparent reporting and is adaptable to any discipline within the Life Sciences, by covering a breadth of potentially relevant methodological items and considerations. If you are in the Life Sciences and writing up your methods section, try working through the MDAR checklist and see whether it helps you include all relevant details into your methods, and whether it reminded you of anything you might have missed otherwise.
The main challenge you may find when writing your methods is keeping it readable AND covering all the details needed for reproducibility and replicability. While this is difficult, do not compromise on rigorous standards for credibility!
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The contents of the Writing Center are also available as a live, interactive training session, complete with slides, talking points, and activities. …
There’s a lot to consider when deciding where to submit your work. Learn how to choose a journal that will help your study reach its audience, while reflecting your values as a researcher…
Published by Nicolas at March 21st, 2024 , Revised On March 12, 2024
Research methodology is a crucial aspect of any investigative process, serving as the blueprint for the entire research journey. If you are stuck in the methodology section of your research paper , then this blog will guide you on what is a research methodology, its types and how to successfully conduct one.
Table of Contents
Research methodology can be defined as the systematic framework that guides researchers in designing, conducting, and analyzing their investigations. It encompasses a structured set of processes, techniques, and tools employed to gather and interpret data, ensuring the reliability and validity of the research findings.
Research methodology is not confined to a singular approach; rather, it encapsulates a diverse range of methods tailored to the specific requirements of the research objectives.
Here is why Research methodology is important in academic and professional settings.
Research methodology forms the backbone of rigorous inquiry. It provides a structured approach that aids researchers in formulating precise thesis statements , selecting appropriate methodologies, and executing systematic investigations. This, in turn, enhances the quality and credibility of the research outcomes.
In both academic and professional contexts, the ability to reproduce research outcomes is paramount. A well-defined research methodology establishes clear procedures, making it possible for others to replicate the study. This not only validates the findings but also contributes to the cumulative nature of knowledge.
In professional settings, decisions often hinge on reliable data and insights. Research methodology equips professionals with the tools to gather pertinent information, analyze it rigorously, and derive meaningful conclusions.
This informed decision-making is instrumental in achieving organizational goals and staying ahead in competitive environments.
For academic researchers, adherence to robust research methodology is a hallmark of excellence. Institutions value research that adheres to high standards of methodology, fostering a culture of academic rigour and intellectual integrity. Furthermore, it prepares students with critical skills applicable beyond academia.
Research methodology instills a problem-solving mindset by encouraging researchers to approach challenges systematically. It equips individuals with the skills to dissect complex issues, formulate hypotheses , and devise effective strategies for investigation.
In the pursuit of knowledge and discovery, understanding the fundamentals of research methodology is paramount.
Research, in its essence, is a systematic and organized process of inquiry aimed at expanding our understanding of a particular subject or phenomenon. It involves the exploration of existing knowledge, the formulation of hypotheses, and the collection and analysis of data to draw meaningful conclusions.
Research is a dynamic and iterative process that contributes to the continuous evolution of knowledge in various disciplines.
Research takes on various forms, each tailored to the nature of the inquiry. Broadly classified, research can be categorized into two main types:
To conduct effective research, one must go through the different components of research methodology. These components form the scaffolding that supports the entire research process, ensuring its coherence and validity.
Research design serves as the blueprint for the entire research project. It outlines the overall structure and strategy for conducting the study. The three primary types of research design are:
Choosing the right data collection methods is crucial for obtaining reliable and relevant information. Common methods include:
Once data is collected, analysis becomes imperative to derive meaningful conclusions. Different methodologies exist for quantitative and qualitative data:
Selecting an appropriate research method is a critical decision in the research process. It determines the approach, tools, and techniques that will be used to answer the research questions.
Quantitative research involves the collection and analysis of numerical data, providing a structured and objective approach to understanding and explaining phenomena.
Experimental research involves manipulating variables to observe the effect on another variable under controlled conditions. It aims to establish cause-and-effect relationships.
Key Characteristics:
Applications: Commonly used in scientific studies and psychology to test hypotheses and identify causal relationships.
Survey research gathers information from a sample of individuals through standardized questionnaires or interviews. It aims to collect data on opinions, attitudes, and behaviours.
Applications: Widely employed in social sciences, marketing, and public opinion research to understand trends and preferences.
Descriptive research seeks to portray an accurate profile of a situation or phenomenon. It focuses on answering the ‘what,’ ‘who,’ ‘where,’ and ‘when’ questions.
Applications: Useful in situations where researchers want to understand and describe a phenomenon without altering it, common in social sciences and education.
Qualitative research emphasizes exploring and understanding the depth and complexity of phenomena through non-numerical data.
A case study is an in-depth exploration of a particular person, group, event, or situation. It involves detailed, context-rich analysis.
Applications: Common in social sciences, psychology, and business to investigate complex and specific instances.
Ethnography involves immersing the researcher in the culture or community being studied to gain a deep understanding of their behaviours, beliefs, and practices.
Applications: Widely used in anthropology, sociology, and cultural studies to explore and document cultural practices.
Grounded theory aims to develop theories grounded in the data itself. It involves systematic data collection and analysis to construct theories from the ground up.
Applications: Commonly applied in sociology, nursing, and management studies to generate theories from empirical data.
Research design is the structural framework that outlines the systematic process and plan for conducting a study. It serves as the blueprint, guiding researchers on how to collect, analyze, and interpret data.
Exploratory design.
Exploratory research design is employed when a researcher aims to explore a relatively unknown subject or gain insights into a complex phenomenon.
Applications: Valuable in the early stages of investigation, especially when the researcher seeks a deeper understanding of a subject before formalizing research questions.
Descriptive research design focuses on portraying an accurate profile of a situation, group, or phenomenon.
Applications: Widely used in social sciences, marketing, and educational research to provide detailed and objective descriptions.
Explanatory research design aims to identify the causes and effects of a phenomenon, explaining the ‘why’ and ‘how’ behind observed relationships.
Applications: Commonly employed in scientific studies and social sciences to delve into the underlying reasons behind observed patterns.
Cross-sectional design.
Cross-sectional designs collect data from participants at a single point in time.
Applications: Suitable for studying characteristics or behaviours that are stable or not expected to change rapidly.
Longitudinal designs involve the collection of data from the same participants over an extended period.
Applications: Ideal for studying developmental processes, trends, or the impact of interventions over time.
Experimental design.
Experimental designs involve manipulating variables under controlled conditions to observe the effect on another variable.
Applications: Commonly used in scientific studies, psychology, and medical research to establish causal relationships.
Non-experimental designs observe and describe phenomena without manipulating variables.
Applications: Suitable for studying complex phenomena in real-world settings where manipulation may not be ethical or feasible.
Effective data collection is fundamental to the success of any research endeavour.
Objective Design:
Structured Format:
Pilot Testing:
Sampling Strategy:
Establishing Rapport:
Open-Ended Questions:
Active Listening:
Ethical Considerations:
1. participant observation.
Immersive Participation:
Field Notes:
Ethical Awareness:
Objective Observation:
Data Reliability:
Contextual Understanding:
1. using existing data.
Identifying Relevant Archives:
Data Verification:
Ethical Use:
Incomplete or Inaccurate Archives:
Temporal Bias:
Access Limitations:
Conducting research is a complex and dynamic process, often accompanied by a myriad of challenges. Addressing these challenges is crucial to ensure the reliability and validity of research findings.
Sampling bias:.
Measurement error:.
Timeline pressures:.
Selection bias:.
Conducting successful research relies not only on the application of sound methodologies but also on strategic planning and effective collaboration. Here are some tips to enhance the success of your research methodology:
Well-defined research objectives guide the entire research process. Clearly articulate the purpose of your study, outlining specific research questions or hypotheses.
A thorough literature review provides a foundation for understanding existing knowledge and identifying gaps. Invest time in reviewing relevant literature to inform your research design and methodology.
A detailed plan serves as a roadmap, ensuring all aspects of the research are systematically addressed. Develop a detailed research plan outlining timelines, milestones, and tasks.
Ethical practices are fundamental to maintaining the integrity of research. Address ethical considerations early, obtain necessary approvals, and ensure participant rights are safeguarded.
Research methodologies evolve, and staying updated is essential for employing the most effective techniques. Engage in continuous learning by attending workshops, conferences, and reading recent publications.
Unforeseen challenges may arise during research, necessitating adaptability in methods. Be flexible and willing to modify your approach when needed, ensuring the integrity of the study.
Research is often an iterative process, and refining methods based on ongoing findings enhance the study’s robustness. Regularly review and refine your research design and methods as the study progresses.
What is the research methodology.
Research methodology is the systematic process of planning, executing, and evaluating scientific investigation. It encompasses the techniques, tools, and procedures used to collect, analyze, and interpret data, ensuring the reliability and validity of research findings.
Research methodologies include qualitative and quantitative approaches. Qualitative methods involve in-depth exploration of non-numerical data, while quantitative methods use statistical analysis to examine numerical data. Mixed methods combine both approaches for a comprehensive understanding of research questions.
To write a research methodology, clearly outline the study’s design, data collection, and analysis procedures. Specify research tools, participants, and sampling methods. Justify choices and discuss limitations. Ensure clarity, coherence, and alignment with research objectives for a robust methodology section.
In the methodology section of a research paper, describe the study’s design, data collection, and analysis methods. Detail procedures, tools, participants, and sampling. Justify choices, address ethical considerations, and explain how the methodology aligns with research objectives, ensuring clarity and rigour.
Mixed research methodology combines both qualitative and quantitative research approaches within a single study. This approach aims to enhance the details and depth of research findings by providing a more comprehensive understanding of the research problem or question.
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Home » Dissertation Methodology – Structure, Example and Writing Guide
In any research, the methodology chapter is one of the key components of your dissertation. It provides a detailed description of the methods you used to conduct your research and helps readers understand how you obtained your data and how you plan to analyze it. This section is crucial for replicating the study and validating its results.
Here are the basic elements that are typically included in a dissertation methodology:
The type of methodology you choose for your dissertation will depend on the nature of your research question and the field you’re working in. Here are some of the most common types of methodologies used in dissertations:
Experimental Research
This involves creating an experiment that will test your hypothesis. You’ll need to design an experiment, manipulate variables, collect data, and analyze that data to draw conclusions. This is commonly used in fields like psychology, biology, and physics.
Survey Research
This type of research involves gathering data from a large number of participants using tools like questionnaires or surveys. It can be used to collect a large amount of data and is often used in fields like sociology, marketing, and public health.
Qualitative Research
This type of research is used to explore complex phenomena that can’t be easily quantified. Methods include interviews, focus groups, and observations. This methodology is common in fields like anthropology, sociology, and education.
Quantitative Research
Quantitative research uses numerical data to answer research questions. This can include statistical, mathematical, or computational techniques. It’s common in fields like economics, psychology, and health sciences.
Case Study Research
This type of research involves in-depth investigation of a particular case, such as an individual, group, or event. This methodology is often used in psychology, social sciences, and business.
Mixed Methods Research
This combines qualitative and quantitative research methods in a single study. It’s used to answer more complex research questions and is becoming more popular in fields like social sciences, health sciences, and education.
Action Research
This type of research involves taking action and then reflecting upon the results. This cycle of action-reflection-action continues throughout the study. It’s often used in fields like education and organizational development.
Longitudinal Research
This type of research involves studying the same group of individuals over an extended period of time. This could involve surveys, observations, or experiments. It’s common in fields like psychology, sociology, and medicine.
Ethnographic Research
This type of research involves the in-depth study of people and cultures. Researchers immerse themselves in the culture they’re studying to collect data. This is often used in fields like anthropology and social sciences.
The structure of a dissertation methodology can vary depending on your field of study, the nature of your research, and the guidelines of your institution. However, a standard structure typically includes the following elements:
Writing a dissertation methodology requires you to be clear and precise about the way you’ve carried out your research. It’s an opportunity to convince your readers of the appropriateness and reliability of your approach to your research question. Here is a basic guideline on how to write your methodology section:
1. Introduction
Start your methodology section by restating your research question(s) or objective(s). This ensures your methodology directly ties into the aim of your research.
2. Approach
Identify your overall approach: qualitative, quantitative, or mixed methods. Explain why you have chosen this approach.
3. Research Design
Describe the overall design of your research. This could involve explaining the type of study (e.g., case study, ethnography, experimental research, etc.), how you’ve defined and measured your variables, and any control measures you’ve implemented.
4. Data Collection
Explain in detail how you collected your data.
5. Data Analysis
Describe how you analyzed your data.
Discuss any ethical issues related to your research. This might involve explaining how you obtained informed consent, how you’re protecting participants’ privacy, or how you’re managing any potential harms to participants.
7. Reliability and Validity
Discuss the steps you’ve taken to ensure the reliability and validity of your data.
8. Limitations
Every study has its limitations. Discuss the potential weaknesses of your chosen methods and explain any obstacles you faced in your research.
9. Conclusion
Summarize the key points of your methodology, emphasizing how it helps to address your research question or objective.
An Example of Dissertation Methodology is as follows:
Chapter 3: Methodology
This chapter details the methodology adopted in this research. The study aimed to explore the relationship between stress and productivity in the workplace. A mixed-methods research design was used to collect and analyze data.
Research Design
This study adopted a mixed-methods approach, combining quantitative surveys with qualitative interviews to provide a comprehensive understanding of the research problem. The rationale for this approach is that while quantitative data can provide a broad overview of the relationships between variables, qualitative data can provide deeper insights into the nuances of these relationships.
Data Collection Methods
Quantitative Data Collection : An online self-report questionnaire was used to collect data from participants. The questionnaire consisted of two standardized scales: the Perceived Stress Scale (PSS) to measure stress levels and the Individual Work Productivity Questionnaire (IWPQ) to measure productivity. The sample consisted of 200 office workers randomly selected from various companies in the city.
Qualitative Data Collection : Semi-structured interviews were conducted with 20 participants chosen from the initial sample. The interview guide included questions about participants’ experiences with stress and how they perceived its impact on their productivity.
Data Analysis Methods
Quantitative Data Analysis : Descriptive and inferential statistics were used to analyze the survey data. Pearson’s correlation was used to examine the relationship between stress and productivity.
Qualitative Data Analysis : Interviews were transcribed and subjected to thematic analysis using NVivo software. This process allowed for identifying and analyzing patterns and themes regarding the impact of stress on productivity.
Reliability and Validity
To ensure reliability and validity, standardized measures with good psychometric properties were used. In qualitative data analysis, triangulation was employed by having two researchers independently analyze the data and then compare findings.
Ethical Considerations
All participants provided informed consent prior to their involvement in the study. They were informed about the purpose of the study, their rights as participants, and the confidentiality of their responses.
Limitations
The main limitation of this study is its reliance on self-report measures, which can be subject to biases such as social desirability bias. Moreover, the sample was drawn from a single city, which may limit the generalizability of the findings.
In a dissertation or thesis, the Methodology section usually follows the Literature Review. This placement allows the Methodology to build upon the theoretical framework and existing research outlined in the Literature Review, and precedes the Results or Findings section. Here’s a basic outline of how most dissertations are structured:
In the Methodology chapter, you will discuss the research design, data collection methods, data analysis methods, and any ethical considerations pertaining to your study. This allows your readers to understand how your research was conducted and how you arrived at your results.
The dissertation methodology section plays an important role in a dissertation for several reasons. Here are some of the advantages of having a well-crafted methodology section in your dissertation:
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Research methodology 1,2 is a structured and scientific approach used to collect, analyze, and interpret quantitative or qualitative data to answer research questions or test hypotheses. A research methodology is like a plan for carrying out research and helps keep researchers on track by limiting the scope of the research. Several aspects must be considered before selecting an appropriate research methodology, such as research limitations and ethical concerns that may affect your research.
The research methodology section in a scientific paper describes the different methodological choices made, such as the data collection and analysis methods, and why these choices were selected. The reasons should explain why the methods chosen are the most appropriate to answer the research question. A good research methodology also helps ensure the reliability and validity of the research findings. There are three types of research methodology—quantitative, qualitative, and mixed-method, which can be chosen based on the research objectives.
A research methodology describes the techniques and procedures used to identify and analyze information regarding a specific research topic. It is a process by which researchers design their study so that they can achieve their objectives using the selected research instruments. It includes all the important aspects of research, including research design, data collection methods, data analysis methods, and the overall framework within which the research is conducted. While these points can help you understand what is research methodology, you also need to know why it is important to pick the right methodology.
Having a good research methodology in place has the following advantages: 3
Types of research methodology.
There are three types of research methodology based on the type of research and the data required. 1
Sampling 4 is an important part of a research methodology and involves selecting a representative sample of the population to conduct the study, making statistical inferences about them, and estimating the characteristics of the whole population based on these inferences. There are two types of sampling designs in research methodology—probability and nonprobability.
In this type of sampling design, a sample is chosen from a larger population using some form of random selection, that is, every member of the population has an equal chance of being selected. The different types of probability sampling are:
During research, data are collected using various methods depending on the research methodology being followed and the research methods being undertaken. Both qualitative and quantitative research have different data collection methods, as listed below.
Qualitative research 5
Quantitative research 6
What are data analysis methods.
The data collected using the various methods for qualitative and quantitative research need to be analyzed to generate meaningful conclusions. These data analysis methods 7 also differ between quantitative and qualitative research.
Quantitative research involves a deductive method for data analysis where hypotheses are developed at the beginning of the research and precise measurement is required. The methods include statistical analysis applications to analyze numerical data and are grouped into two categories—descriptive and inferential.
Descriptive analysis is used to describe the basic features of different types of data to present it in a way that ensures the patterns become meaningful. The different types of descriptive analysis methods are:
Inferential analysis is used to make predictions about a larger population based on the analysis of the data collected from a smaller population. This analysis is used to study the relationships between different variables. Some commonly used inferential data analysis methods are:
Qualitative research involves an inductive method for data analysis where hypotheses are developed after data collection. The methods include:
Here are some important factors to consider when choosing a research methodology: 8
How to write a research methodology .
A research methodology should include the following components: 3,9
The methods section is a critical part of the research papers, allowing researchers to use this to understand your findings and replicate your work when pursuing their own research. However, it is usually also the most difficult section to write. This is where Paperpal can help you overcome the writer’s block and create the first draft in minutes with Paperpal Copilot, its secure generative AI feature suite.
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Q1. What are the key components of research methodology?
A1. A good research methodology has the following key components:
Q2. Why is ethical consideration important in research methodology?
A2. Ethical consideration is important in research methodology to ensure the readers of the reliability and validity of the study. Researchers must clearly mention the ethical norms and standards followed during the conduct of the research and also mention if the research has been cleared by any institutional board. The following 10 points are the important principles related to ethical considerations: 10
Q3. What is the difference between methodology and method?
A3. Research methodology is different from a research method, although both terms are often confused. Research methods are the tools used to gather data, while the research methodology provides a framework for how research is planned, conducted, and analyzed. The latter guides researchers in making decisions about the most appropriate methods for their research. Research methods refer to the specific techniques, procedures, and tools used by researchers to collect, analyze, and interpret data, for instance surveys, questionnaires, interviews, etc.
Research methodology is, thus, an integral part of a research study. It helps ensure that you stay on track to meet your research objectives and answer your research questions using the most appropriate data collection and analysis tools based on your research design.
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Why do you need a research methodology, what needs to be included, why do you need to document your research method, what are the different types of research instruments, qualitative / quantitative / mixed research methodologies, how do you choose the best research methodology for you, frequently asked questions about research methodology, related articles.
When you’re working on your first piece of academic research, there are many different things to focus on, and it can be overwhelming to stay on top of everything. This is especially true of budding or inexperienced researchers.
If you’ve never put together a research proposal before or find yourself in a position where you need to explain your research methodology decisions, there are a few things you need to be aware of.
Once you understand the ins and outs, handling academic research in the future will be less intimidating. We break down the basics below:
A research methodology encompasses the way in which you intend to carry out your research. This includes how you plan to tackle things like collection methods, statistical analysis, participant observations, and more.
You can think of your research methodology as being a formula. One part will be how you plan on putting your research into practice, and another will be why you feel this is the best way to approach it. Your research methodology is ultimately a methodological and systematic plan to resolve your research problem.
In short, you are explaining how you will take your idea and turn it into a study, which in turn will produce valid and reliable results that are in accordance with the aims and objectives of your research. This is true whether your paper plans to make use of qualitative methods or quantitative methods.
The purpose of a research methodology is to explain the reasoning behind your approach to your research - you'll need to support your collection methods, methods of analysis, and other key points of your work.
Think of it like writing a plan or an outline for you what you intend to do.
When carrying out research, it can be easy to go off-track or depart from your standard methodology.
Tip: Having a methodology keeps you accountable and on track with your original aims and objectives, and gives you a suitable and sound plan to keep your project manageable, smooth, and effective.
With all that said, how do you write out your standard approach to a research methodology?
As a general plan, your methodology should include the following information:
In any dissertation, thesis, or academic journal, you will always find a chapter dedicated to explaining the research methodology of the person who carried out the study, also referred to as the methodology section of the work.
A good research methodology will explain what you are going to do and why, while a poor methodology will lead to a messy or disorganized approach.
You should also be able to justify in this section your reasoning for why you intend to carry out your research in a particular way, especially if it might be a particularly unique method.
Having a sound methodology in place can also help you with the following:
A research instrument is a tool you will use to help you collect, measure and analyze the data you use as part of your research.
The choice of research instrument will usually be yours to make as the researcher and will be whichever best suits your methodology.
There are many different research instruments you can use in collecting data for your research.
Generally, they can be grouped as follows:
These are the most common ways of carrying out research, but it is really dependent on your needs as a researcher and what approach you think is best to take.
It is also possible to combine a number of research instruments if this is necessary and appropriate in answering your research problem.
There are three different types of methodologies, and they are distinguished by whether they focus on words, numbers, or both.
Data type | What is it? | Methodology |
---|---|---|
Quantitative | This methodology focuses more on measuring and testing numerical data. What is the aim of quantitative research? | Surveys, tests, existing databases. |
Qualitative | Qualitative research is a process of collecting and analyzing both words and textual data. | Observations, interviews, focus groups. |
Mixed-method | A mixed-method approach combines both of the above approaches. | Where you can use a mixed method of research, this can produce some incredibly interesting results. This is due to testing in a way that provides data that is both proven to be exact while also being exploratory at the same time. |
➡️ Want to learn more about the differences between qualitative and quantitative research, and how to use both methods? Check out our guide for that!
If you've done your due diligence, you'll have an idea of which methodology approach is best suited to your research.
It’s likely that you will have carried out considerable reading and homework before you reach this point and you may have taken inspiration from other similar studies that have yielded good results.
Still, it is important to consider different options before setting your research in stone. Exploring different options available will help you to explain why the choice you ultimately make is preferable to other methods.
If proving your research problem requires you to gather large volumes of numerical data to test hypotheses, a quantitative research method is likely to provide you with the most usable results.
If instead you’re looking to try and learn more about people, and their perception of events, your methodology is more exploratory in nature and would therefore probably be better served using a qualitative research methodology.
It helps to always bring things back to the question: what do I want to achieve with my research?
Once you have conducted your research, you need to analyze it. Here are some helpful guides for qualitative data analysis:
➡️ How to do a content analysis
➡️ How to do a thematic analysis
➡️ How to do a rhetorical analysis
Research methodology refers to the techniques used to find and analyze information for a study, ensuring that the results are valid, reliable and that they address the research objective.
Data can typically be organized into four different categories or methods: observational, experimental, simulation, and derived.
Writing a methodology section is a process of introducing your methods and instruments, discussing your analysis, providing more background information, addressing your research limitations, and more.
Your research methodology section will need a clear research question and proposed research approach. You'll need to add a background, introduce your research question, write your methodology and add the works you cited during your data collecting phase.
The research methodology section of your study will indicate how valid your findings are and how well-informed your paper is. It also assists future researchers planning to use the same methodology, who want to cite your study or replicate it.
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Methodology
Research methods are specific procedures for collecting and analyzing data. Developing your research methods is an integral part of your research design . When planning your methods, there are two key decisions you will make.
First, decide how you will collect data . Your methods depend on what type of data you need to answer your research question :
Second, decide how you will analyze the data .
Methods for collecting data, examples of data collection methods, methods for analyzing data, examples of data analysis methods, other interesting articles, frequently asked questions about research methods.
Data is the information that you collect for the purposes of answering your research question . The type of data you need depends on the aims of your research.
Your choice of qualitative or quantitative data collection depends on the type of knowledge you want to develop.
For questions about ideas, experiences and meanings, or to study something that can’t be described numerically, collect qualitative data .
If you want to develop a more mechanistic understanding of a topic, or your research involves hypothesis testing , collect quantitative data .
Qualitative | to broader populations. . | |
---|---|---|
Quantitative | . |
You can also take a mixed methods approach , where you use both qualitative and quantitative research methods.
Primary research is any original data that you collect yourself for the purposes of answering your research question (e.g. through surveys , observations and experiments ). Secondary research is data that has already been collected by other researchers (e.g. in a government census or previous scientific studies).
If you are exploring a novel research question, you’ll probably need to collect primary data . But if you want to synthesize existing knowledge, analyze historical trends, or identify patterns on a large scale, secondary data might be a better choice.
Primary | . | methods. |
---|---|---|
Secondary |
In descriptive research , you collect data about your study subject without intervening. The validity of your research will depend on your sampling method .
In experimental research , you systematically intervene in a process and measure the outcome. The validity of your research will depend on your experimental design .
To conduct an experiment, you need to be able to vary your independent variable , precisely measure your dependent variable, and control for confounding variables . If it’s practically and ethically possible, this method is the best choice for answering questions about cause and effect.
Descriptive | . . | |
---|---|---|
Experimental |
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Research method | Primary or secondary? | Qualitative or quantitative? | When to use |
---|---|---|---|
Primary | Quantitative | To test cause-and-effect relationships. | |
Primary | Quantitative | To understand general characteristics of a population. | |
Interview/focus group | Primary | Qualitative | To gain more in-depth understanding of a topic. |
Observation | Primary | Either | To understand how something occurs in its natural setting. |
Secondary | Either | To situate your research in an existing body of work, or to evaluate trends within a research topic. | |
Either | Either | To gain an in-depth understanding of a specific group or context, or when you don’t have the resources for a large study. |
Your data analysis methods will depend on the type of data you collect and how you prepare it for analysis.
Data can often be analyzed both quantitatively and qualitatively. For example, survey responses could be analyzed qualitatively by studying the meanings of responses or quantitatively by studying the frequencies of responses.
Qualitative analysis is used to understand words, ideas, and experiences. You can use it to interpret data that was collected:
Qualitative analysis tends to be quite flexible and relies on the researcher’s judgement, so you have to reflect carefully on your choices and assumptions and be careful to avoid research bias .
Quantitative analysis uses numbers and statistics to understand frequencies, averages and correlations (in descriptive studies) or cause-and-effect relationships (in experiments).
You can use quantitative analysis to interpret data that was collected either:
Because the data is collected and analyzed in a statistically valid way, the results of quantitative analysis can be easily standardized and shared among researchers.
Research method | Qualitative or quantitative? | When to use |
---|---|---|
Quantitative | To analyze data collected in a statistically valid manner (e.g. from experiments, surveys, and observations). | |
Meta-analysis | Quantitative | To statistically analyze the results of a large collection of studies. Can only be applied to studies that collected data in a statistically valid manner. |
Qualitative | To analyze data collected from interviews, , or textual sources. To understand general themes in the data and how they are communicated. | |
Either | To analyze large volumes of textual or visual data collected from surveys, literature reviews, or other sources. Can be quantitative (i.e. frequencies of words) or qualitative (i.e. meanings of words). |
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If you want to know more about statistics , methodology , or research bias , make sure to check out some of our other articles with explanations and examples.
Research bias
Quantitative research deals with numbers and statistics, while qualitative research deals with words and meanings.
Quantitative methods allow you to systematically measure variables and test hypotheses . Qualitative methods allow you to explore concepts and experiences in more detail.
In mixed methods research , you use both qualitative and quantitative data collection and analysis methods to answer your research question .
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.
In statistics, sampling allows you to test a hypothesis about the characteristics of a population.
The research methods you use depend on the type of data you need to answer your research question .
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 analyze data (for example, 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.
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What is a methodology.
The methodology is perhaps the most challenging and laborious part of the dissertation . Essentially, the methodology helps in understanding the broad, philosophical approach behind the methods of research you chose to employ in your study. The research methodology elaborates on the ‘how’ part of your research.
This means that your methodology chapter should clearly state whether you chose to use quantitative or qualitative data collection techniques or a mix of both.
Your research methodology should explain the following:
You will be required to provide justifications as to why you preferred a certain method over the others. If you are trying to figure out exactly how to write methodology or the structure of a methodology for a dissertation, this article will point you in the right direction.
Students must be sure of why they chose a certain research method over another. “I figured out” or “In my opinion” statements will not be an acceptable justification. So, you will need to come up with concrete academic reasons for your selection of research methods.
The methodology generally acts as a guideline or plan for exactly how you intend to carry out your research. This is especially true for students who must submit their methodology chapter before carrying out the research.
Your methodology should link back to the literature review and clearly state why you chose certain data collection and analysis methods for your research/dissertation project.
The methodology chapter consists of the following:
For those who are submitting their dissertation as a single paper, their methodology should also touch on any modifications they had to make as their work progressed.
However, it is essential to provide academic justifications for all choices made by the researcher.
The theme of your research methodology chapter should be related to your literature review and research question (s).
You can visit your college or university library to find textbooks and articles that provide information about the commonly employed research methods .
An intensive reading of such books can help you devise your research philosophy and choose the appropriate methods. Any limitations or weaknesses of your chosen research approach should also be explained, as well as the strategies to overcome them.
To research well, you should read well! Read as many research articles (from reputed journals) as you can. Seeing how other researchers use methods in their studies and why will help you justify, in the long run, your own research method(s).
Regardless of the chosen research approach, you will find researchers who either support it or don’t. Use the arguments for and against articulated in the literature to clarify why you decided to choose the selected research design and why the research limitations are irrelevant to your research.
The typical structure of the methodology chapter is as follows:
In research jargon, generalisability is termed external validity . It means how generalisable your research findings are to other contexts, places, times, people, etc. External validity is expected to be significantly high, especially in quantitative studies.
According to USC-Research Guides (2017) , a research design’s primary function is to enable the researcher to answer the research questions through evidence effectively. Generally, this section will shed light on how you collected your data.
The researcher will have to justify their choice of data collection methods, such as the one that was reviewed, the use of data tools (interviews, phone surveys, questionnaires, observation, online surveys , etc.) and the like.
Moreover, data sampling choice should also be clearly explained with a focus on how you chose the ethnicity, group, profession and age of the participants.
It is recommended to prepare these questions at the start of your research. You should develop your research problem and questions. This approach can allow the room to change or modify research questions if your data collection methods do not give the desired results.
It’s a good practice to keep referring to your research questions whilst planning or writing the research design section. This will help your reader recall what the research is about; why you have done what you did. Even though this technique is recommended to be applied at the start of every section within a dissertation, it’s especially beneficial in the methodology section.
In short, you will need to make sure that the data you are going to collect relates to the topic you are exploring. The complexity and length of the research design section will vary depending on your academic subject and the scope of your research, but a well-written research design will have the following characteristics:
This will discuss your chosen philosophy to strengthen your research and the research model. Commonly employed philosophies in academia are
There are several other research philosophies that you could adopt.
The choice of philosophy will depend on many factors, including your academic subject and the type and complexity of the research study. Regardless of which philosophy is used, you will be required to make different assumptions about the world.
Once you have chosen your research philosophy, the next step will describe your research context to answer all the questions, including when, where, why, how and what of your research.
Essentially, as a researcher, you will be required to decide whether you will be using a qualitative method, a quantitative method or a mix of both.
Using both qualitative and quantitative methods leads to the use of a mixed-methods approach. This approach also goes by another seldom-used name: eclectic approach.
The process of data collection is different for each method. Typically, you would want to decide whether you will adopt the positivist approach, defining your hypothesis and testing it against reality.
If this is the case, you will be required to take the quantitative approach, collecting numerical data at a large scale (from 30 or more respondents) and testing your hypotheses with this data.
Collecting data from at least 30 respondents/participants ensures reliable statistical analysis . This is especially true for quantitative studies. If the data contains less than 30 responses, it won’t be enough to carry out reliable statistical analyses on such data.
The other option for you would be to base your research on a qualitative approach, which will point you in a direction where you will be investigating broader areas by identifying people’s emotions and perceptions of a subject.
With a qualitative approach, you will have to collect responses from respondents and look at them in all their richness to develop theories about the field you are exploring.
Finally, you can also use a mix of qualitative and quantitative methods (which is becoming increasingly popular among researchers these days). This method is beneficial if you are interested in putting quantitative data into a real-world context or reflecting different perspectives on a subject.
Research philosophy in the ‘research onion.’
This section will require you to clearly specify how you gathered the data and briefly discuss the tools you used to analyse it. For example, you may choose to conduct surveys and/or interviews as part of the data collection process.
Similarly, if you used software such as Excel or SPSS to process the data , you will have to justify your software choice. In this section of your methodology chapter , you will also have to explain how you arrived at your findings and how reliable they are.
It is important to note that your readers or supervisor would want to see a correlation between your findings and the hypothesis/research questions you based your study on at the very beginning.
Your supervisor or dissertation research assistant can play a key role in helping you write the methodology chapter according to established research standards. So, keep your supervisor in the loop to get their contributions and recommendations throughout the process.
In this section, you should briefly describe the methods you’ve used to analyse the data you’ve collected.
The qualitative method includes analysing language, images, audio, videos, or any textual data (textual analysis). The following types of methods are used in textual analysis .
Discourse analysis:
Discourse analysis is an essential aspect of studying a language and its uses in day-to-day life.
Content analysis:
It is a method of studying and retrieving meaningful information from documents Thematic analysis:
It’s a method of identifying patterns of themes in the collected information, such as face-to-face interviews, texts, and transcripts.
Example: After collecting the data, it was checked thoroughly to find the missing information. The interviews were transcribed, and textual analysis was conducted. The repetitions of the text, types of colours displayed, and the tone of the speakers was measured.
Quantitative data analysis is used for analysing numerical data. Include the following points:
Other important sections of your methodology are:
Always consider how your research will influence other individuals who are beyond the scope of the study. This is especially true for human subjects. As a researcher, you are always expected to make sure that your research and ideas do not harm anyone in any way.Discussion concerning data protection, data handling and data confidentiality will also be included in this brief segment.
Even though there is no established rule to include ethical considerations and limitations within the methodology section, it’s generally recommended to include it in this section, as it makes more sense than including it, say, after the discussions section or within the conclusion.
This is mainly because limitations almost always occur in the methodology stage of research. And ethical considerations need to be taken while sampling, an important aspect of the research methodology.
Here are some examples of ethical issues that you should be mindful of
All such issues should be categorically addressed and a justification provided for your chosen research methodology by highlighting the study’s benefits.
Is your research study and findings reliable for other researchers in your field of work? To establish yourself as a reliable researcher, your study should be both authentic and reliable.
Reliability means the extent to which your research can yield similar results if it was replicated in another setting, at a different time, or under different circumstances. If replication occurs and different findings come to light, your (original) research would be deemed unreliable.
Good dissertation writers will always acknowledge the limitations of their research study. Limitations in data sampling can decrease your results’ reliability.
A classic example of research limitation is collecting responses from people of a certain age group when you could have targeted a more representative cross-section of the population.Be humble and admit to your own study’s limitations. Doing so makes your referees, editors, supervisors, readers and anyone else involved in the research enterprise aware that you were also aware of the things that limited your study.
Limitations are NOT the same as implications. Sometimes, the two can be confused. Limitations lead to implications, that is, due to a certain factor being absent in the study (limitation) for instance, future research could be carried out in a setting where that factor is present (implication).
At this point, you might have a basic understanding of how to craft a well-written, organised, accurate methodology section for your dissertation. An example might help bring all the aforementioned points home. Here is a dissertation methodology example in pdf to better understand how to write methodology for a dissertation.
Sample Dissertation Methodology
If not, we can help. Our panel of experts makes sure to keep the 3 pillars of Research Methodology strong.
A scientific or lab-based study.
A methodology section for a scientific study will need to elaborate on reproducibility and meticulousness more than anything else. If your methods have obvious flaws, the readers are not going to be impressed. Therefore, it is important to ensure that your chosen research methodology is vigorous in nature.
Any information related to the procedure, setup and equipment should be clearly stated so other researchers in your field of study can work with the same method in the future if needed.
Variables that are likely to falsify your data must be taken into the equation to avoid ambiguities. It is recommended to present a comprehensive strategy to deal with these variables when gathering and analysing the data and drawing conclusions.
Statistical models employed as part of your scientific study will have to be justified, and so your methodology should include details of those statistical models.
Another scholar in the future might use any aspect of your methodology as the starting point for their research. For example, they might base their research on your methodology but analyse the data using other statistical models. Hence, this is something you should be mindful of.
Like scientific or lab-based research, a behavioural and social sciences methodology needs to be built along the same lines. The chosen methodology should demonstrate reproducibility and firmness so other scholars can use your whole dissertation methodology or a part of it based on their research needs.
But there are additional issues that the researcher must take into consideration when working with human subjects. As a starting point, you will need to decide whether your analysis will be based on qualitative data, quantitative data or mixed-method of research, where qualitative data is used to provide contextual background to quantitative data or the other way around.
Here are some questions for you to consider:
While you will be required to demonstrate that you have taken care of the above questions, it is equally important to make sure that you address your research study’s ethical issues side-by-side.
Of course, the first step in that regard will be to obtain formal approval for your research design from the ethics bodies (such as IRBs – institutional review boards), but still, there will be many more issues that could trigger a sense of grief and discomfort among some of the readers.
The rigour and dependability of the methods of research employed remain undisputed and unquestionable for humanities and arts-based dissertations as well. However, the way you convince your readers of your dissertation’s thoroughness is slightly different.
Unlike social science dissertation or a scientific study, the methodology of dissertations in arts and humanities subjects needs to be directly linked to the literature review regardless of how innovative your dissertation’s topic might be.
For example, you could demonstrate the relationship between A and B to discover a new theoretical background or use existing theories in a new framework.
The methodology section of humanities and arts-based dissertations is less complex, so there might be no need to justify it in detail. Students can achieve a seamless transition from the literature review to the analysis section.
However, like with every other type of research methodology, it is important to provide a detailed justification of your chosen methodology and relate it to the research problem.
Failing to do so could leave some readers unconvinced of your theoretical foundations’ suitability, which could potentially jeopardise your whole research.
Make sure that you are paying attention to and giving enough information about the social and historical background of the theoretical frameworks your research methodology is based on. This is especially important if there is an essential difference of opinion between your research and the research done on the subject in the past.
A justification of why opposing schools of thought disagree and why you still went ahead to use aspects of these schools of thought in your methodology should be clearly presented for the readers to understand how they would support your readings.
Some degree programs in the arts allow students to undertake a portfolio of artworks or creative writing rather than produce an extended dissertation research project.However, in practice, your creative research will be required to be submitted along with a comprehensive evaluative paper, including background information and an explanation that hypothesises your innovative exercise.
While this might seem like an easy thing to do, critical evaluation of someone’s work is highly complex and notorious in nature. This further reinforces the argument of developing a rigorous methodology and adhering to it.
As a scholar, you will be expected to showcase the ability to critically analyse your methodology and show that you are capable of critically evaluating your own creative work.Such an approach will help you justify your method of creating the work, which will give the readers the impression that your research is grounded in theory.
All chapters of a dissertation paper are interconnected. This means that there will undoubtedly be some information that would overlap between the different chapters of the dissertation .
For example, some of the text material may seem appropriate to both the literature review and methodology sections; you might even end up moving information from pillar to post between different chapters as you edit and improve your dissertation .
However, make sure that you are not making the following a part of your dissertation methodology, even though it may seem appropriate to fit them in there:
It might seem relevant to include details of the models your dissertation methodology is based on. However, a detailed review of models and precedents used by other scholars and theorists will better fit in the literature review chapter, which you can link back to. This will help the readers understand why you decided to go in favour of or against a certain tactic.
There is absolutely no need to provide extensive details of things like lab equipment and experiment procedures. Having such information in the methodology chapter would discourage some readers who might not be interested in your equipment, setup, lab environment, etc.
Your aim as the author of the document will be to retain the readers’ interest and make the methodology chapter as readable as possible.
While it is important to get all the information relating to how others can reproduce your experiment, it is equally important to ensure your methodology section isn’t unnecessarily long. Again, additional information is better to be placed within the appendices chapter.
The methodology is not the section to provide raw data, even if you are only discussing the data collection process. All such information should be moved to the appendices section.
Even if you feel some finding or numerical data is crucial to be presented within the methodology section, you can, at most, make brief comments about such data. Its discussion, however, is only allowed in the discussions section .
The factors which can determine if your dissertation methodology is ‘great’ depend on many factors, including the level of study you are currently enrolled in.
Undergraduate dissertations are, of course, less complex and less demanding. At most universities in the UK, undergraduate students are required to exhibit the ability to conduct thorough research as they engage for the first time with theoretical and conceptual frameworks in their chosen research area.
As an undergraduate student, you will be expected to showcase the capacity to reproduce what you have learnt from theorists in your academic subject, transform your leanings into a methodology that would help you address the research problem, and test the research hypothesis, as mentioned in the introduction chapter.
A great undergraduate-level dissertation will incorporate different schools of thought and make a valuable contribution to existing knowledge. However, in general, undergraduate-level dissertations’ focus should be to show thorough desk-based and independent research skills.
Postgraduate dissertation papers are much more compound and challenging because they are expected to make a substantial contribution to existing knowledge.
Depending on the academic institute, some postgraduate students are even required to develop a project published by leading academic journals as an approval of their research skills.
It is important to recognise the importance of a postgraduate dissertation towards building your professional career, especially if your work is considered impactful in your area of study and receives citations from multiple scholars, enhancing your reputation in academic communities.
Even if some academics cite your literature review and conclusion in their own work, it is a well-known fact that your methodology framework will result in many more citations regardless of your academic subject.
Other scholars and researchers in your area of study are likely to give much more value to a well-crafted methodology, especially one they can use as the starting point for their own research.
Of course, they can alter, refine and enhance your methodology in one way or another. They can even apply your methodological framework to a new data set or apply it in a completely new situation that is irrelevant to your work.
Finally, postgraduate dissertations are expected to be highly convincing and demonstrate in-depth engagement. They should be reproducible and show rigour, so the findings and conclusions can be regarded as authentic and reliable among scientific and academic communities.
The methodology is the door to success when it comes to dissertation projects. An original methodology that takes into consideration all aspects of research is likely to have an impact on the field of study.
As a postgraduate student, you should ask yourself, Is my dissertation methodology reproducible and transferable? Producing a methodology that others can reproduce in the future is as important as answering research questions .
The methodology chapter can either make or break the grade of your research/dissertation paper. It’s one of the research elements that leave a memorable impression on your readers. So, it would help if you took your time when it comes to choosing the right design and philosophical approach for your research.
Always use authentic academic sources and discuss your plans in detail with your supervisor if you believe your research design or approach has flaws in it.
Did this article help you learn how to write a dissertation methodology and how to structure a dissertation methodology? Let us know in your comments.
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Looking for an easy guide to follow to write your essay? Here is our detailed essay guide explaining how to write an essay and examples and types of an essay.
Learn about the steps required to successfully complete their research project. Make sure to follow these steps in their respective order.
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Methodology Chapter Provides Information On All The Steps Taken For The Study Of A Problem And The Justifications Given For Specific Steps Taken To Gather, Process, And Analyze Data Related To Understanding The Problem. The Chapter Allows The Reader To Understand And Evaluate The Research Design And Thus Validate It.
Quantitative Study: Quantitative Research Is The Quantification Of A Problem Via Generating Numerical Data That Are Most Often Converted Into Statistics. The Statistical Analysis In Research Methodology Helps In Proving Or Disproving A Thesis. The Research Is Usually Conducted Among A Broad Populace In The Form Of Questionnaire, Polls And Other Surveys Which Involves The Participants To Reply In Numbers. This Means Quantitative Research Falls Under The Headings Of Empirical Or Statistical Studies. Its Main Characteristics Are :
A Methodology Chapter For A Quantitative Study Explains The Following In A Direct And Precise Manner:
Any Methodology Chapter Must Be Written In The Past Tense And Follows The Following Guidelines: Chapter Provides Information On The Methods Of Data Collection To Enable The Readers To Understand The Process.
This is followed by the research design , where the methods used to gather, process and analyze the data are given. This is usually preceded or followed by a justification of the appropriateness of the research design . Then, the information on the pilot study is given. It is followed by the precise information on sampling strategies, instrument design, and methods of data analysis . ‘ Ethical considerations ’ comes next . Here the researcher informs the reader of the measures taken to ensure participants privacy and consent, etc. Penultimate to concluding the methodology chapter is problems and limitations, where the reader is informed of all the constraints the researcher anticipated and all the problems that occurred and the limitations methods may pose to the overall study.
– indispensable qualitative research methods.
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Department of social work, school of humanities, university of johannesburg, johannesburg, south africa.
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This book is a definitive, comprehensive understanding to social science research methodology. It covers both qualitative and quantitative approaches. The book covers the entire research process, beginning with the conception of the research problem to publication of findings. The text combines theory and practical application to familiarize the reader with the logic of research design, the logic and techniques of data analysis, and the fundamentals and implications of various data collection techniques. Organized in seven sections and easy to read chapters, the text emphasizes the importance of clearly defined research questions and well-constructed practical explanations and illustrations. A key contribution to the methodology literature, the book is an authoritative resource for policymakers, practitioners, graduate and advanced research students, and educators in all social science disciplines.
Front matter, introduction to social research, inquiry: a fundamental concept for scientific investigation.
M. Rezaul Islam
Inductive and/or deductive research designs.
Designing research proposal in quantitative approach.
Editors and affiliations.
Niaz Ahmed Khan
Rajendra Baikady
Bibliographic information.
Book Title : Principles of Social Research Methodology
Editors : M. Rezaul Islam, Niaz Ahmed Khan, Rajendra Baikady
DOI : https://doi.org/10.1007/978-981-19-5441-2
Publisher : Springer Singapore
eBook Packages : Social Sciences
Copyright Information : The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2022
Hardcover ISBN : 978-981-19-5219-7 Published: 27 October 2022
Softcover ISBN : 978-981-19-5524-2 Published: 28 October 2023
eBook ISBN : 978-981-19-5441-2 Published: 26 October 2022
Edition Number : 1
Number of Pages : XXXI, 508
Number of Illustrations : 24 b/w illustrations, 45 illustrations in colour
Topics : Social Work , Education, general
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'ZDNET Recommends': What exactly does it mean?
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One of the biggest complaints about ChatGPT is that it provides information that is difficult to check for accuracy. Those complaints exist because ChatGPT doesn't provide the sources, footnotes, or links from which it derived the information in its answers.
While that is true for the GPT-3.5 model, GPT-4 and GPT-4o provide more citation resources. While GPT-4 is only for paid subscribers, GPT-4o is available to both free and paid subscribers, although free users get fewer citations and less detail than users with a ChatGPT Plus subscription .
Also: 4 things Claude AI can do that ChatGPT can't
Here's how ChatGPT describes the approach: "GPT-4o in free mode provides basic and essential citations, focusing on quick and concise references to ensure information is traceable. In contrast, GPT-4o in paid mode offers enhanced, detailed, and frequent citations, including multiple sources and contextual annotations to provide comprehensive verification and understanding of the information. This ensures a robust and reliable experience, especially beneficial for users requiring in-depth information and thorough source verification."
Even with the provided citations in GPT-4o, there are ways to improve your results.
To start, you need to ask ChatGPT something that needs sources or citations. I've found it's better to ask a question with a longer answer, so there's more "meat" for ChatGPT to chew on.
Also: The best AI chatbots: ChatGPT and other interesting alternatives to try
Keep in mind that ChatGPT can't provide any information after January 2022 for GPT-3.5, April 2023 for GPT-4, and October 2023 for GPT-4o, and requests for information pre-internet (say, for a paper on Ronald Reagan's presidency) will have far fewer available sources.
Here's an example of a prompt I wrote on a topic that I worked on a lot when I was in grad school:
Describe the learning theories of cognitivism, behaviorism, and constructivism
This is where a bit of prompt engineering comes in. A good starting point is with this query:
Please provide sources for the previous answer
I've found that this prompt often provides offline sources, books, papers, etc. The problem with offline sources is you can't check their veracity. Still, it's a starting point. A better query is this:
Please provide URL sources
This prompt specifically tells ChatGPT that you want clickable links to sources. You can also tweak this prompt by asking for a specific quantity of sources, although your mileage might vary in terms of how many you get back:
Please provide 10 URL sources
Most large language models respond well to detail and specificity . So if you're asking for sources, you can push for higher-quality sources. You'll need to specify that you need reliable and accurate sources. While this approach won't necessarily work, it may remind the AI chatbot to give you more useful responses. For example:
Please provide me with reputable sources to support my argument on... (whatever the topic is you're looking at)
You can also tell ChatGPT the kinds of sources you want. If you're looking for scholarly articles, peer-reviewed journals, books, or authoritative websites, mention these preferences explicitly. For example:
Please recommend peer-reviewed journals that discuss... (and here, repeat what you discussed earlier in your conversation)
When dealing with abstract concepts or theories, request that ChatGPT provide a conceptual framework and real-world examples. Here's an example:
Can you describe the principles of Vygotsky's Social Development Theory and provide real-world examples where these principles were applied, including sources for these examples?
This approach gives you a theoretical explanation and practical instances to trace the original sources or case studies.
Also: Two ways you can build custom AI assistants with GPT-4o
Another idea is to use sources that don't have link rot (that is, they're no longer online at the URL that ChatGPT might know). Be careful with this idea, though, because ChatGPT doesn't know about things after January 2022 for GPT-3.5, April 2023 for GPT-4, and October 2023 for GPT-4o. So, while you might be tempted to use a prompt like this:
Please provide me with sources published within the past five years.
Instead, consider using a prompt like this:
Please provide sources published from 2019 through April 2023.
And, as always, don't assume that whatever output ChatGPT gives you is accurate. It's still quite possible the AI will completely fabricate answers, even to the point of making up the names of what seem like academic journals. It's a sometimes helpful tool, but it's also a fibber .
Keep this golden rule in mind about ChatGPT-provided sources: ChatGPT is more often wrong than right .
Across the many times I've asked ChatGPT for URL sources, roughly half were just plain bad links. Another 25% or more of the links went to topics completely or somewhat unrelated to the one I was trying to source. GPT-4 and GPT-4o are slightly more reliable, but not by much.
Also: How to use ChatGPT: Everything you need to know
For example, I asked for sources on a backgrounder for the phrase "trust but verify," generally popularized by US President Ronald Reagan. I got a lot of sources back, but most didn't exist. I got some back that correctly took me to active pages on the Reagan Presidential Library site, but the page topic had nothing to do with the phrase.
I had better luck with my learning theory question from step 1. There, I got back offline texts from people I knew from my studies who had worked on those theories. I also got back URLs. Once again, only about two in 10 worked or were accurate.
Also: What does GPT stand for? Understanding GPT-3.5, GPT-4, GPT-4o, and more
Don't despair. The idea isn't to expect ChatGPT to provide sources that you can immediately use. If you instead think of ChatGPT as a research assistant, it will give you some great starting places. Use the names of the articles (which may be completely fake or just not accessible) and drop them into Google. That process will give you some interesting search queries that probably lead to interesting material that can legitimately go into your research.
Also, keep in mind that you're not limited to using ChatGPT. Don't forget all the tools available to researchers and students. Do your own web searches. Check with primary sources and subject-matter experts if they're available. If you're in school, you can even ask your friendly neighborhood librarian for help.
Also: How to use ChatGPT to create an app
Don't forget that there are many excellent traditional sources. For example, Google Scholar and JSTOR provide access to a wide range of academically acceptable resources you can cite with reasonable confidence.
One final point: if you merely cut and paste ChatGPT sources into your research, you're likely to get stung. Use the AI for clues, not as a way to avoid the real work of research.
APA style is a citation style that's often required in academic programs. APA stands for American Psychological Association. I've often thought they invented these style rules to get more customers. The definitive starting point for APA style is the Purdue OWL , which provides a wide range of style guidelines.
Also: GPT-3.5 vs GPT-4: Is ChatGPT Plus worth its subscription fee?
Be careful: online style formatters might not do a complete job, and you may get your work returned by your professor. It pays to do the work yourself -- and be careful doing it.
This is a good question. I have found that sometimes -- sometimes -- if you ask ChatGPT to give you more sources or re-ask for sources, it will give you new listings. If you tell ChatGPT the sources it provided were erroneous, it will sometimes give you better ones. The bot may also apologize and give excuses. Another approach is to re-ask your original question with a different focus or direction, and then ask for sources for the new answer.
Also: How to access, install, and use AI ChatGPT-4 plugins
Once again, my best advice is to avoid treating ChatGPT as a tool that writes for you and more as a writing assistant. Asking for sources to cut and paste a ChatGPT response is pretty much plagiarism. That said, using ChatGPT's responses, and any sources you can tease out, as clues for further research and writing is a legitimate way to use this tool.
For some links, it's just link rot. Some links may have changed, since many sources are more than three years old. Other sources are of indeterminate age. Since we don't have a full listing of ChatGPT's sources, it's impossible to tell how valid they are or were.
Also: How does ChatGPT actually work?
Since ChatGPT was trained mostly without human supervision , we know that most of its sources weren't vetted and could be wrong, made up, or completely non-existent.
Trust, but verify.
You can follow my day-to-day project updates on social media. Be sure to subscribe to my weekly update newsletter , and follow me on Twitter/X at @DavidGewirtz , on Facebook at Facebook.com/DavidGewirtz , on Instagram at Instagram.com/DavidGewirtz , and on YouTube at YouTube.com/DavidGewirtzTV .
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A closer look at four distinct ways to drive transformation.
When tasked with implementing large-scale organizational change, leaders often give too much attention to the what of change — such as a new organization strategy, operating model or acquisition integration — not the how — the particular way they will approach such changes. Such inattention to the how comes with the major risk that old routines will be used to get to new places. Any unquestioned, “default” approach to change may lead to a lot of busy action, but not genuine system transformation. Through their practice and research, the authors have identified the optimal ways to conceive, design, and implement successful organizational change.
Management of long-term, complex, large-scale change has a reputation of not delivering the anticipated benefits. A primary reason for this is that leaders generally fail to consider how to approach change in a way that matches their intent.
Harvard University
This morning, U.S. News and World Report released their much-anticipated 2024-2025 Best Global University Rankings. These annual rankings are a cornerstone in the field, influencing decisions that range from student applications to institutional funding and providing a glimpse into the current state of affairs in the world of higher education. This list can provide helpful insights into the relative merits of the schools students may be considering adding to their college lists. In order to use this list effectively, however, it is important to understand the nuances of the ranking system and the factors considered therein.
Here is a breakdown of the rankings’ methodology, as well as key takeaways from this year’s list:
Methodology
The U.S. News and World Report Best Global University Rankings are based on a comprehensive methodology that evaluates colleges and universities across thirteen key metrics. These include:
In addition to the overall global rankings and country-specific rankings, U.S. News and World Report published a subject-specific ranking list , evaluating schools’ global positions in over 50 individual disciplines.
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These rankings offer quantitative data students can consider when building their college lists, providing a fairly comprehensive picture of universities’ academic prowess and institutional reach. That being said, students using the rankings to build their college lists should note that many of these factors do not capture the qualitative aspects of students’ experiences.
Key Takeaways from the 2024–25 Rankings
This year, 2,250 universities across over 100 countries were considered—up more than ten percent from the 2,000 schools considered in the previous ranking.
As in the last cycle, Harvard University claimed the #1 spot in the global rankings list. This prestigious accolade reflects Harvard's unparalleled academic excellence, groundbreaking research, and global influence. Known for its distinguished faculty, cutting-edge facilities, and a tradition of innovation, Harvard continues to set the standard in higher education, making it the leading choice for students and scholars worldwide.
Nearly half of the top 50 schools in the ranking are located in the U.S., totaling 24 of the top 50 on the rankings list. Additionally, four out of the top five are U.S. schools: Harvard University, Massachusetts Institute of Technology, Stanford University, and University of California, Berkeley. This remarkable achievement underscores the global prestige of U.S. universities, known for their world-class research, innovative academic programs, and extensive resources.
Both Brown University and The University of Texas at Austin surprisingly dropped in the rankings, falling out of the top 50. Given both schools’ excellence, this shift demonstrates the fierce competition for top spots in the rankings this year.
This year, four new disciplines were added to the subject-specific rankings, including: ecology; green and sustainable science and technology; environmental engineering; and marine and freshwater biology. These additions not only demonstrate the ranking system’s commitment to reflecting the most relevant information in higher education today, but also provide a glimpse into recent trends and changes in the disciplinary offerings at the most prestigious universities in the world.
The 2024–2025 U.S. News and World Report Rankings offer students valuable information regarding the trends in the global higher education landscape. While students should take their personal preferences and the intangible elements of a school’s culture that draw them to a specific school into account, these rankings can be a helpful first step for students as they set their collegiate goals and assemble their college lists.
This template covers all the core components required in the research methodology chapter or section of a typical dissertation or thesis, including:
The purpose of each section is explained in plain language, followed by an overview of the key elements that you need to cover. The template also includes practical examples to help you understand exactly what’s required, along with links to additional free resources (articles, videos, etc.) to help you along your research journey.
The cleanly-formatted Google Doc can be downloaded as a fully editable MS Word Document (DOCX format), so you can use it as-is or convert it to LaTeX.
PS – if you’d like a high-level template for the entire thesis, you can we’ve got that too .
The methodology chapter template is provided as a Google Doc. You can download it in MS Word format or make a copy to your Google Drive. You’re also welcome to convert it to whatever format works best for you, such as LaTeX or PDF.
The methodology template follows the standard format for academic research projects, which means it will be suitable for the vast majority of dissertations and theses (especially those within the sciences), whether they adopt a qualitative, quantitative, or mixed-methods approach. The template is loosely based on Saunders’ research onion , which is recommended as a methodological framework by many universities.
Keep in mind that the exact requirements for the methodology chapter/section will vary between universities and degree programs. These are typically minor, but it’s always a good idea to double-check your university’s requirements before you finalize your structure.
This template can be used for a dissertation, thesis or research project at any level of study. Doctoral-level projects typically require the methodology chapter to be more extensive/comprehensive, but the structure will typically remain the same.
This can vary a fair deal, depending on the level of study (undergrad, Master or Doctoral), the field of research, as well as your university’s specific requirements. Therefore, it’s best to check with your university or review past dissertations from your program to get an accurate estimate.
As a rule of thumb, you should provide enough detail for another researcher to replicate your study. This includes clear descriptions of procedures, tools, and techniques you used to collect and analyse your data, as well as your sampling approach.
In the methodology chapter, your language should be technical enough to accurately convey your research methods and processes, but also clear and precise to ensure it’s accessible to readers within your field.
Aim for a balance where the technical aspects of your methods are thoroughly explained without overusing jargon or overly complex language.
If you conducted a pilot study, you can include it in the methodology to demonstrate the feasibility and refinement of your methods. Be sure to obtain the necessary permissions from your research advisor before conducting any pilot studies, though.
Yes, you’re welcome to share this template in its original format (no editing allowed). If you want to post about it on your blog or social media, we kindly request that you reference this page as your source.
Yes, we do. We are constantly developing our collection of free resources to help students complete their dissertations and theses. You can view all of our template resources here .
Yes, we can assist with your methodology chapter (or any other chapter) on a coaching basis. If you’re interested, feel free to get in touch to discuss our private coaching services .
At michigan state university, investigating the conditions for a new stellar process.
A scientific research team studied how the barium-139 nucleus captures neutrons in the stellar environment in an experiment at Argonne National Laboratory ’s (ANL) CARIBU facility using FRIB’s Summing Nal (SuN) detector . The team’s goal was to lessen uncertainties related to lanthanum production. Lanthanum is a rare earth element sensitive to intermediate neutron capture process (i process) conditions. Uncovering the conditions of the i process allows scientists to determine its required neutron density and reveal potential sites where it might occur. The team recently published its findings in Physical Review Letters (“First Study of the 139Ba(𝑛,𝛾)140Ba Reaction to Constrain the Conditions for the Astrophysical i Process”).
Artemis Spyrou , professor of physics at FRIB and in the Department of Physics and Astronomy at Michigan State University (MSU), and Dennis Mücher , professor of physics at the University of Cologne in Germany, led the experiment. MSU is home to FRIB, the only accelerator-based U.S. Department of Energy Office of Science (DOE-SC) user facility on a university campus. FRIB is operated by MSU to support the mission of the DOE-SC Office of Nuclear Physics as one of 28 DOE-SC user facilities.
Combining global collaboration and world-class educational experiences
The experiment was a collaborative effort involving more than 30 scientists and students from around the world. Participating institutions included the University of Victoria in Canada, the University of Oslo in Norway, and the University of Jyväskyla in Finland.
“The collaboration is essential because everyone comes from different backgrounds with different areas of expertise,” Spyrou said. “Together, we’re much stronger. It’s really an intellectual sharing of that knowledge and bringing new ideas to the experiment.”
The international collaboration also included five FRIB graduate and two FRIB undergraduate students. FRIB is an educational resource for the next generation of science and technical talent. Students enrolled in nuclear physics at MSU can work with scientific researchers from around the world to conduct groundbreaking research in accelerator science, cryogenic engineering, and astrophysics.
“Our students contribute to every aspect of the experiment, from transporting the instrumentation to unpacking and setting it up, then testing and calibrating it to make sure everything works,” Spyrou said. “Then, we all work together to identify what’s in the beam. Is it reasonable? Do we accept it? Once everything is set up and ready, we all take shifts.”
Measuring the i process
Producing some of the heaviest elements found on Earth, like platinum and gold, requires stellar environments rich in neutrons. Inside stars, neutrons combine with an atomic nucleus to create a heavier nucleus. These nuclear reactions, called neutron capture processes, are what create these heavy elements. Two neutron capture processes are known to occur in stars: the rapid neutron capture process ( r process) and the slow neutron capture process ( s process). Yet, neither process can explain some astronomic observations, such as unusual abundance patterns found on very old stars. A new stellar process—the i process—may help. The i process represents neutron densities that fall between those of the r and s processes.
“Through this reaction we are constraining, we discovered that compared to what theory predicted, the amount of lanthanum is actually less,” said Spyrou.
Spyrou said that combining lanthanum with other elements, like barium and europium, helps provide a signature of the i process.
“It’s a new process, and we don’t know the conditions where the i process is happening. It’s all theoretical, so unless we constrain the nuclear physics, we will never find out,” Spyrou said. “This was the first strong constraint from the nuclear physics point of view that validates that yes, the i process should be making these elements under these conditions.”
Neutron capture processes are difficult to measure directly, Spyrou said. Indirect techniques, like the beta-Oslo and shape methods, help constrain neutron capture reaction rates in exotic nuclei . These two methods formed the basis of the barium-139 nucleus experiment.
To measure the data, beams provided by ANL’s CARIBU facility produced a high-intensity beam and delivered it to the center of the SuN detector, a device that measures gamma rays emitted from decaying isotope beams. This tool was pivotal in producing strong data constraints during the study.
“I developed SuN with my group at the National Superconducting Cyclotron Laboratory, the predecessor to FRIB,” Spyrou said. “It’s a very efficient and large detector. Basically, every gamma ray that comes out, we can detect. This is an advantage compared to other detectors, which are smaller.”
The first i process constraint paves the way for more research
Studying the barium-139 neutron capture was only the first step in discovering the conditions of the i process. Mücher is starting a new program at the University of Cologne that aims to measure some significant i process reactions directly. Spyrou said that she and her FRIB team plan to continue studying the i process through different reactions that can help constrain the production of different elements or neutron densities. They recently conducted an experiment at ANL to study the neodymium-151 neutron capture. This neutron capture is the dominant reaction for europium production.
This material is based upon work supported by the National Science Foundation.
Michigan State University operates the Facility for Rare Isotope Beams (FRIB) as a user facility for the U.S. Department of Energy Office of Science (DOE-SC), supporting the mission of the DOE-SC Office of Nuclear Physics. Hosting what is designed to be the most powerful heavy-ion accelerator, FRIB enables scientists to make discoveries about the properties of rare isotopes in order to better understand the physics of nuclei, nuclear astrophysics, fundamental interactions, and applications for society, including in medicine, homeland security, and industry.
The U.S. Department of Energy Office of Science is the single largest supporter of basic research in the physical sciences in the United States and is working to address some of today’s most pressing challenges. For more information, visit energy.gov/science .
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An infrastructure for secure data sharing: a clinical data implementation.
Documentation Topics
Published: May 15, 2024 Citation: Journal of the American Medical Informatics Association vol. 7, no. 2, (July 2024) pp. 1-9
Joanna DeFranco (NIST) , Joshua Roberts (NIST) , David Ferraiolo (NIST) , Daniel Compton (NIST)
Objective: To address database interoperability challenges to improve collaboration among disparate organizations.
Materials and Methods: We developed a lightweight system to allow broad but well-controlled data sharing while preserving local data protection policies. We used 2 NIST-developed technologies—Next-generation Database Access Control (NDAC) and the Data Block Matrix (DBM)— to create a proof-of-concept system called the Secure Federated Data Sharing System (SFDS). NDAC controls access to database resources down to the field level based on attributes assigned to users. The DBM manages and shares authoritative user-attribute assignments across a federation of organizations, implemented using a modified open-source permissioned blockchain, to manage and share authoritative user- attribute assignments across a federation of organizations. We used synthetic data to demonstrate a clinical research data-sharing use case using the SFDS.
Results: We demonstrated, through consent, the onboarding of previously unknown users into NDAC via assignments to their DBM-validated attributes, allowing those users policy-preserving access to local database resources. The SFDS main system components—NDAC and DBM— also showed excellent performance metrics.
Discussion: The SFDS provides a generic data-sharing infrastructure that effectively and securely achieves data-sharing objectives. It is completely transparent to the otherwise normal business operations of participating organizations. It requires no changes to database management systems or existing methods of authenticating and authorizing local user access to local resources.
Conclusion: This efficiency, flexibility of deployment, and granularity of control make this new infrastructure solution practical for meeting the data-sharing and protection objectives of the clinical research community.
None selected
Publication: https://doi.org/10.1093/jamiaopen/ooae040
Supplemental Material: None available
Document History: 05/15/24: Journal Article (Final)
access control , authentication , privacy
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Mixed methods combine the above two research methods, integrating both qualitative and quantitative approaches into one coherent analytical process. Step 4: Evaluate and justify the methodological choices you made. Above all, your methodology section should clearly make the case for why you chose the methods you did. This is especially true if ...
Writing a research methodology involves explaining the methods and techniques you used to conduct research, collect data, and analyze results. It's an essential section of any research paper or thesis, as it helps readers understand the validity and reliability of your findings. Here are the steps to write a research methodology:
Provide the rationality behind your chosen approach. Based on logic and reason, let your readers know why you have chosen said research methodologies. Additionally, you have to build strong arguments supporting why your chosen research method is the best way to achieve the desired outcome. 3. Explain your mechanism.
A quantitative approach and statistical analysis would give you a bigger picture. 3. Identify how your analysis answers your research questions. Relate your methodology back to your original research questions and present a proposed outcome based on your analysis.
Do yourself a favour and start with the end in mind. Section 1 - Introduction. As with all chapters in your dissertation or thesis, the methodology chapter should have a brief introduction. In this section, you should remind your readers what the focus of your study is, especially the research aims. As we've discussed many times on the blog ...
Learn how to write a strong methodology chapter that allows readers to evaluate the reliability and validity of the research. A good methodology chapter incl...
1. Qualitative research methodology. Qualitative research methodology is aimed at understanding concepts, thoughts, or experiences. This approach is descriptive and is often utilized to gather in-depth insights into people's attitudes, behaviors, or cultures. Qualitative research methodology involves methods like interviews, focus groups, and ...
In other words, make sure that your methods will actually address the problem. One of the most common deficiencies found in research papers is that the proposed methodology is not suitable to achieving the stated objective of your paper. Describe the specific methods of data collection you are going to use, such as, surveys, interviews ...
As we mentioned, research methodology refers to the collection of practical decisions regarding what data you'll collect, from who, how you'll collect it and how you'll analyse it. Research design, on the other hand, is more about the overall strategy you'll adopt in your study. For example, whether you'll use an experimental design ...
Your Methods Section contextualizes the results of your study, giving editors, reviewers and readers alike the information they need to understand and interpret your work. Your methods are key to establishing the credibility of your study, along with your data and the results themselves. A complete methods section should provide enough detail ...
To write a research methodology, clearly outline the study's design, data collection, and analysis procedures. Specify research tools, participants, and sampling methods. Justify choices and discuss limitations. Ensure clarity, coherence, and alignment with research objectives for a robust methodology section.
Methodology in research is defined as the systematic method to resolve a research problem through data gathering using various techniques, providing an interpretation of data gathered and drawing conclusions about the research data. Essentially, a research methodology is the blueprint of a research or study (Murthy & Bhojanna, 2009, p. 32).
Overview: Writing The Methodology Chapter. Develop a (rough) outline before you start writing. Draw inspiration from similar studies in your topic area. Justify every research design choice that you make. Err on the side of too much detail, rather than too little. Back up every design choice by referencing literature. 1.
The structure of a dissertation methodology can vary depending on your field of study, the nature of your research, and the guidelines of your institution. However, a standard structure typically includes the following elements: Introduction: Briefly introduce your overall approach to the research.
Definition, Types, and Examples. Research methodology 1,2 is a structured and scientific approach used to collect, analyze, and interpret quantitative or qualitative data to answer research questions or test hypotheses. A research methodology is like a plan for carrying out research and helps keep researchers on track by limiting the scope of ...
A research design is a strategy for answering your research question using empirical data. Creating a research design means making decisions about: Your overall research objectives and approach. Whether you'll rely on primary research or secondary research. Your sampling methods or criteria for selecting subjects. Your data collection methods.
Here are the steps to follow when writing a methodology: 1. Restate your thesis or research problem. The first part of your methodology is a restatement of the problem your research investigates. This allows your reader to follow your methodology step by step, from beginning to end. Restating your thesis also provides you an opportunity to ...
A research methodology encompasses the way in which you intend to carry out your research. This includes how you plan to tackle things like collection methods, statistical analysis, participant observations, and more. You can think of your research methodology as being a formula. One part will be how you plan on putting your research into ...
Research methods are specific procedures for collecting and analyzing data. Developing your research methods is an integral part of your research design. When planning your methods, there are two key decisions you will make. First, decide how you will collect data. Your methods depend on what type of data you need to answer your research question:
The methodology is perhaps the most challenging and laborious part of the dissertation. Essentially, the methodology helps in understanding the broad, philosophical approach behind the methods of research you chose to employ in your study. The research methodology elaborates on the 'how' part of your research.
Research Methodology Example. Detailed Walkthrough + Free Methodology Chapter Template. If you're working on a dissertation or thesis and are looking for an example of a research methodology chapter, you've come to the right place. In this video, we walk you through a research methodology from a dissertation that earned full distinction ...
A methodology for a quantitative study begins with a reiteration of the research question and its context. Methodology for a Quantitative study. This is followed by the research design, where the methods used to gather, process and analyze the data are given. This is usually preceded or followed by a justification of the appropriateness of the ...
This book is a definitive, comprehensive understanding to social science research methodology. It covers both qualitative and quantitative approaches. The book covers the entire research process, beginning with the conception of the research problem to publication of findings. The text combines theory and practical application to familiarize ...
One final point: if you merely cut and paste ChatGPT sources into your research, you're likely to get stung. Use the AI for clues, not as a way to avoid the real work of research. FAQ
Through their practice and research, the authors have identified the optimal ways to conceive, design, and implement successful organizational change. Post. Post. Share. Annotate. Save.
The U.S. News and World Report Best Global University Rankings are based on a comprehensive methodology that evaluates colleges and universities across thirteen key metrics. These include: These ...
The FDA says it will test more dairy products pulled from grocery store shelves as government health agencies announce new research into the potential impacts of the H5N1 bird flu outbreak in ...
What's Included: Methodology Template. This template covers all the core components required in the research methodology chapter or section of a typical dissertation or thesis, including: The opening section. The research design, including: Research philosophy. Research type. Research strategy. Time horizon. Sampling strategy.
A scientific research team studied how the barium-139 nucleus captures neutrons in the stellar environment in an experiment at Argonne National Laboratory's (ANL) CARIBU facility using FRIB's Summing Nal (SuN) detector. The team's goal was to lessen uncertainties related to lanthanum production. Lanthanum is a rare earth element sensitive to intermediate neutron capture process (i ...
Objective: To address database interoperability challenges to improve collaboration among disparate organizations.Materials and Methods: We developed a lightweight system to allow broad but well-controlled data sharing while preserving local data protection policies. We used 2 NIST-developed technologies—Next-generation Database Access Control (NDAC) and the Data Block Matrix (DBM)— to ...