dissertation examples questionnaire

Dissertation surveys: Questions, examples, and best practices

Collect data for your dissertation with little effort and great results.

Dissertation surveys are one of the most powerful tools to get valuable insights and data for the culmination of your research. However, it’s one of the most stressful and time-consuming tasks you need to do. You want useful data from a representative sample that you can analyze and present as part of your dissertation. At SurveyPlanet, we’re committed to making it as easy and stress-free as possible to get the most out of your study.

With an intuitive and user-friendly design, our templates and premade questions can be your allies while creating a survey for your dissertation. Explore all the options we offer by simply signing up for an account—and leave the stress behind.

How to write dissertation survey questions

The first thing to do is to figure out which group of people is relevant for your study. When you know that, you’ll also be able to adjust the survey and write questions that will get the best results.

The next step is to write down the goal of your research and define it properly. Online surveys are one of the best and most inexpensive ways to reach respondents and achieve your goal.

Before writing any questions, think about how you’ll analyze the results. You don’t want to write and distribute a survey without keeping how to report your findings in mind. When your thesis questionnaire is out in the real world, it’s too late to conclude that the data you’re collecting might not be any good for assessment. Because of that, you need to create questions with analysis in mind.

You may find our five survey analysis tips for better insights helpful. We recommend reading it before analyzing your results.

Once you understand the parameters of your representative sample, goals, and analysis methodology, then it’s time to think about distribution. Survey distribution may feel like a headache, but you’ll find that many people will gladly participate.

Find communities where your targeted group hangs out and share the link to your survey with them. If you’re not sure how large your research sample should be, gauge it easily with the survey sample size calculator.

Need help with writing survey questions? Read our guide on well-written examples of good survey questions .

Dissertation survey examples

Whatever field you’re studying, we’re sure the following questions will prove useful when crafting your own.

At the beginning of every questionnaire, inform respondents of your topic and provide a consent form. After that, start with questions like:

• Please select your gender:
• What is the highest educational level you’ve completed?
• High school
• Bachelor degree
• Master’s degree
• On a scale of 1-7, how satisfied are you with your current job?
• Please rate the following statements:
• I always wait for people to text me first.
• Strongly Disagree
• Neither agree nor disagree
• Strongly agree
• My friends always complain that I never invite them anywhere.
• I prefer spending time alone.
• Rank which personality traits are most important when choosing a partner. Rank 1 - 7, where 1 is the most and 7 is the least important.
• Flexibility
• Independence
• How openly do you share feelings with your partner?
• Almost never
• Almost always
• In the last two weeks, how often did you experience headaches?

Dissertation survey best practices

There are a lot of DOs and DON’Ts you should keep in mind when conducting any survey, especially for your dissertation. To get valuable data from your targeted sample, follow these best practices:

Use the consent form.

The consent form is a must when distributing a research questionnaire. A respondent has to know how you’ll use their answers and that the survey is anonymous.

Avoid leading and double-barreled questions

Leading and double-barreled questions will produce inconclusive results—and you don’t want that. A question such as: “Do you like to watch TV and play video games?” is double-barreled because it has two variables.

On the other hand, leading questions such as “On a scale from 1-10 how would you rate the amazing experience with our customer support?” influence respondents to answer in a certain way, which produces biased results.

Use easy and straightforward language and questions

Don’t use terms and professional jargon that respondents won’t understand. Take into consideration their educational level and demographic traits and use easy-to-understand language when writing questions.

Mix close-ended and open-ended questions

Too many open-ended questions will annoy respondents. Also, analyzing the responses is harder. Use more close-ended questions for the best results and only a few open-ended ones.

Strategically use different types of responses

Likert scale, multiple-choice, and ranking are all types of responses you can use to collect data. But some response types suit some questions better. Make sure to strategically fit questions with response types.

Ensure that data privacy is a priority

Make sure to use an online survey tool that has SSL encryption and secure data processing. You don’t want to risk all your hard work going to waste because of poorly managed data security. Ensure that you only collect data that’s relevant to your dissertation survey and leave out any questions (such as name) that can identify the respondents.

Create dissertation questionnaires with SurveyPlanet

Overall, survey methodology is a great way to find research participants for your research study. You have all the tools required for creating a survey for a dissertation with SurveyPlanet—you only need to sign up . With powerful features like question branching, custom formatting, multiple languages, image choice questions, and easy export you will find everything needed to create, distribute, and analyze a dissertation survey.

Happy data gathering!

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Dissertation Questionnaire

Questionnaire generator.

A dissertation is a document usually a requirement for a doctoral degree especially in the field of philosophy. This long essay discusses a particular subject matter uses questionnaires   and other sources of data and is used to validate its content. The  questionnaire’s importance is evident in the processes of data gathering as it can make the dissertation factual, effective and usable.

Having a well-curated and formatted document to follow when making a dissertation can be very beneficial to an individual who is currently immersed in the data gathering stage of the specific research study. We have gathered downloadable samples and templates of questionnaires so it will be easier for you to curate your own.

Dissertation Timeline Gantt Chart Template

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Dissertation Research Gantt Chart Template

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Dissertation Plan Gantt Chart Template

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Dissertation Research Questionnaire

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Dissertation Proposal Questionnaire

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Sample Dissertation Questionnaire

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What Is a Dissertation Questionnaire?

A dissertation questionnaire can be defined as follows:

• It is a document used in the processes of data gathering.
• Questionnaires in PDF used for a dissertation contain questions that can help assess the current condition of the community which is the subject of study within the dissertation.
• It specifies the questions that are needed to be answered to assure that there is a basis in terms of the results that will be presented in a dissertation.

How to Write a Dissertation Questionnaire

Writing an efficient and comprehensive dissertation questionnaire can greatly affect the entire dissertation. You can make one by following these steps:

• Be specific with the kind of dissertation that you are creating and align the purposes of the dissertation questionnaire that you need to make to your study.
• List down the information needed from the community who will provide the answers to your questions.
• Open a software where you can create a questionnaire template. You may also download  survey questionnaire examples   and templates to have a faster time in formatting the document.
• The purpose of the dissertation questionnaire.
• The guidelines and instructions in answering the dissertation questions.
• The name of the person to who will use the questionnaire results to his/her dissertation.
• The institution to whom the dissertation will be passed.
• List down the questions based on your needs.

Undergraduate Dissertation Questionnaire

Size: 12 KB

Project Management Dissertation

Size: 54 KB

Guidelines for Writing a Dissertation Questionnaire

There are no strict rules in writing a dissertation questionnaire. However, there are some tips that can help you to create a dissertation questionnaire that is relevant to the study that you are currently doing. Some guidelines:

• Make sure that you are well aware of the data that is needed in your dissertation so you can properly curate questions that can supply your information needs.
• It will be best to use a dissertation questionnaire format that is organized, easy to understand, and properly structured. This will help the people who will answer the dissertation questionnaire quickly know how they can provide the items that you would like to know.
• Always make sure that your instructions in answering the questions are precise and directly stated.
• You may look at  questionnaires in Word   for comparisons. Doing this will help you assess whether there are still areas of improvement that you may tap with the content and format of the dissertation questionnaire that you have created.

Keeping this guidelines in mind and implementing them accordingly will allow you to create a dissertation questionnaire that is beneficial to the processes that you need to have an outstanding dissertation.

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A questionnaire stands as one of the essential tools in a researcher's toolkit. When skillfully crafted, a thoroughly organized questionnaire can provide priceless insights that shape and elevate the course of your dissertation. This piece will present guidance on formulating a survey that produces substantial and meaningful results.

Why Do You Need a Questionnaire? 

If you're currently completing your dissertation, you're likely at the questionnaire phase. This is a crucial stage of your research as it helps you gather data and insights from your participants.

Learn More About Data Analysis Processes Here 

One way to ensure you're gathering valuable and accurate data is by using dissertation questionnaire examples. These examples can guide crafting your own questionnaire, ensuring that you're asking the right questions and collecting the necessary data.

Learn More About Research Questions

The following section will provide you with a comprehensive questionnaire example extracted from a dissertation for your study.

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Data collection method.

The data collection method was primary as the study collected data directly from 60 employees in global financial institutes, in line with the research aim. Following Saunders (2011: 119) on positivism, a quantitative approach was used, employing a closed-ended questionnaire to gather data from the participants.

Learn the Difference Between Qualitative and Quantitative Approaches 

The following section will analyse the questions writing process by dissection an old questionnaire: 

The questionnaire was created after reviewing prior literature, with questions targeting professionals in global financial institutes regarding Bitcoin's potential as a currency or investment. It featured dichotomous questions where respondents chose between yes or no (Bryman & Bell, 2011). This closed-ended survey was shared online via social media links. A pilot study assessed the questionnaire's validity, involving 6 respondents, as recommended (Field, 2013). After confirming validity, the same questionnaire was used for the full study with 60 respondents (Creswell, 2009).

The second question was asked to select the financial institution (sector) where the respondents worked to know how many respondents were from banks, brokerage houses, and insurance companies.

Q 2: Please Select Your Financial Institution (Sector).

The third question was comprised of the analysis of how many respondents have ever encountered Bitcoin transactions. As analyzed earlier the overall respondents were from financial institutions and were more focused on the transactions of Bitcoins.

Q 3: Have You Ever Encountered a Bitcoin Transaction?

Based on the responses to the fourth question, it was analyzed whether an ordinary man can understand the processing mechanism of Bitcoins.

Q 4: Do You Agree that the Bitcoin processing Mechanism is So Complex that an Ordinary Person cannot Understand it?

The next question comprised of the analysis that after one or two decades is there any possibility that the majority of the people around the world regard Bitcoins as a normal currency?

Q 5: Do You Think that Most People Around the World Will Be Ready to Use Bitcoins as a Currency After 10 to 20 Years?

In the sixth question regulation of Bitcoins was questioned to know if as per the respondents' Bitcoins could be used as a currency without getting regulated.

Q 6: It is Possible that Bitcoins could be Used as a Currency without Getting Regulated?

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What is a Dissertation Questionnaire?

A dissertation questionnaire is a research tool utilized to collect data from a large group of people. It is usually given to students as part of their dissertation research process. The questionnaire comprises a series of questions about the respondent's opinions, experiences, or knowledge on a particular topic.

Explore Stellar Questionnaire Examples Here

Usually, dissertation questionnaires are administered online, though paper copies can also be distributed. While dissertation questionnaires can vary in length and format, all questionnaires should include some common features, such as clear instructions, an introduction to the research topic, and well-constructed questions.

Dissertation questionnaires are an important part of many research projects . They can help gather data from a large group of people quickly and efficiently. When creating a dissertation questionnaire, it is important to keep the following things in mind:

The questionnaire should be clear and concise.

The questions should be well-constructed and easy to understand.

The instructions must be clear and easy to follow.

The introduction should provide context for the research project.

Essential Questions to Ask in Your Dissertation Questionnaire

• What is the purpose of your research?
• What are your research objectives?
• What research questions do you hope to answer with your study?
• What is your research hypothesis or main thesis?
• What methods will you utilize to collect data?
• Who is your target population or sample group?
• How will you ensure that your data is reliable and valid?
• What ethical considerations are there in your research design?

Resources on Questionnaire Design And Analysis

• Questionnaire Design
• Data Collection
• Data Analysis
• Quality Control

Dissertation Questionnaire Examples for Master’s Students

• What motivates you to pursue a master’s degree?
• Why did you choose your current field of study?
• What are your long-term career aspirations?
• How will a master’s degree help you to achieve your goals?
• What research experience do you have?
• What are your research interests?
• Why did you choose your current supervisor/advisor?
• What are the most important skills for success in your field of study?

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Tips to Compose an Engaging Questionnaire for Your Dissertation

Define your goals.

It's necessary to spend some time considering your objectives before you begin creating your questionnaire. What type of data are you trying to gather? You'll be able to create questions that are more likely to yield the appropriate outcomes after you clearly understand your objectives.

Keep it Short and Sweet

Getting your participants to take the time to complete your questionnaire can be a challenge on its own. Therefore, when creating your questionnaire, remember that simplicity is key. Keep your questions concise and focused, and restrict the overall number of questions to a maximum of 20.

Ask Mostly Closed-Ended Questions

Answers to closed-ended questions can be as straightforward as "yes" or "no," or they can include selecting from a predetermined list of options. On the other hand, open-ended questions require respondents to write their answers in their own words. Closed-ended questions are generally preferred as they are much easier to analyze quantitatively.

Avoid Loaded Questions

Loaded questions are those that are leading or biased in nature. For example, a question such as “Don’t you think students should be required to take a foreign language in high school?” is loaded because it assumes that the respondent already agrees with the premise of the question. Loaded questions should be avoided as they can lead to unreliable and invalid results.

Make Sure Your Questions are Unambiguous

Your questionnaire should be easy for respondents to understand; otherwise, you risk misinterpretation and inaccurate results. Be sure to proofread your questionnaire thoroughly before administering it to ensure no typos or grammatical errors.

Also, use clear and concise language throughout – avoid jargon or technical terms that respondents may not be familiar with.

Use Simple Language

Use simple, straightforward language in your questions. Avoid technical jargon or abbreviations that respondents might not understand. Be clear and concise in your wording so that respondents can easily answer the question.

How to Survey Your Marketing Dissertation?

Define your research question.

The first step in conducting a survey is to define your research question. That will help determine the type of survey you need to conduct and the information you hope to collect.

Choose Your Target Population

The next step is to choose your target population. It is the group of people you will be surveying. It is important to choose a target population representative of the larger population you are interested in.

Select a Sampling Method

Once you have chosen your target population, you will need to select a sampling method. This is the method you will use to select the individuals who will participate in your survey. There are several different sampling methods, so choosing one that is appropriate for your study is important.

Develop Your Questionnaire

After you have selected your sampling method, you will need to develop your questionnaire. This is the list of questions that you will ask your participants. It is important to ensure that your questions are clear, concise, and relevant to your research question.

Pretest Your Questionnaire

Before administering your questionnaire, it is important to pretest it with a small group of people similar to your target population. It will help ensure that your questions are clear and yield the information you hope to collect.

Administer Your Survey

Once you have pretested your questionnaire, you can begin administering your survey. This can be done in person, by mail, or online. It is important to ensure that all your participants have an equal opportunity to respond to your questionnaire.

Analyze Your Results

After you have collected all of the responses to your questionnaire, it is time to analyze them. It involves looking at the data and determining its meaning concerning your research question.

Write up Your Findings

Once you have analyzed your results, you will need to write up your findings in a report or paper. This should include an interpretation of what the data means in relation to your research question

Following these simple tips will help you design a questionnaire that is more likely to elicit useful information from respondents. Keep your questions short and focused, avoid loaded questions, and make sure your questions are clear and unambiguous. By taking the time to design a well-constructed questionnaire, you will be one step closer to ensuring the success of your dissertation project. You may Contact Premier Dissertations to develop a questionnaire section that helps you collect accurate data.

More on dissertation section writing below.

• How To Write Acknowledgement For Dissertation
• How to Use Primary Data in Your Dissertation
• How to Write a Unique Dissertation Title: Tips and Examples
• A Complete Guide to Dissertation Methodology Structure
• How Long should my Dissertation Be?

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Dissertation examples

Listed below are some of the best examples of research projects and dissertations from undergraduate and taught postgraduate students at the University of Leeds We have not been able to gather examples from all schools. The module requirements for research projects may have changed since these examples were written. Refer to your module guidelines to make sure that you address all of the current assessment criteria. Some of the examples below are only available to access on campus.

• Undergraduate examples
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Harvard University Program on Survey Research

• How to Frame and Explain the Survey Data Used in a Thesis

Surveys are a special research tool with strengths, weaknesses, and a language all of their own. There are many different steps to designing and conducting a survey, and survey researchers have specific ways of describing what they do.

This handout, based on an annual workshop offered by the Program on Survey Research at Harvard, is geared toward undergraduate honors thesis writers using survey data.

PSR Resources

• Managing and Manipulating Survey Data: A Beginners Guide
• Finding and Hiring Survey Contractors
• Overview of Cognitive Testing and Questionnaire Evaluation
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• Introduction to Surveys for Honors Thesis Writers
• PSR Introduction to the Survey Process
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Frequently asked questions.

There are a few key steps in creating a dissertation for use in your thesis. Firstly, you should think about the topic you are studying and who you need to respond to your questionnaire. You then need to think about how you can deliver the questions, this can be in the form of in-person interviews or emails. You can begin to formulate your questions and format.

Visit the Studying for a PhD section for more information and advice.

Prof Martyn Denscombe, author of “ The Good Research Guide, 6th edition ”, gives expert advice on using a questionnaire survey for your postgraduate dissertation.

Questionnaire surveys are a well-established way of collecting data. They can be used with relatively small-scale research projects, and research questionnaires can be designed and delivered quite quickly and cheaply. It is not surprising, therefore, that when it comes to conducting research for a master’s dissertation, questionnaire surveys feature prominently as the research method of choice.

Occasionally such thesis surveys will be sent out by post, and sometimes the questionnaires will be distributed by hand. But the popularity of questionnaire surveys in the context of master’s dissertations is principally due to the benefits of using online web-based questionnaires. There are two main aspects to this.

First, the software for producing and delivering web questionnaires, with their features such as drop-down menus and tick-box answers, is user-friendly and inexpensive.

Second, online surveys make it possible to contact people across the globe without travelling anywhere which, given the time and resource constraints faced when producing a dissertation, makes online surveys all the more enticing. (And, for the more adventurous students, there are also developing possibilities for the use of social media such as Facebook and SMS texts for contacting people to participate in the survey.)

In the context of a master’s dissertation, however, the quality of the survey data is a vital issue. The grade for the dissertation will depend on being able to defend the use of the data from the survey as the basis for advanced, master’s level academic enquiry. Which means it is not good enough to simply rely on getting 100 or so people to complete your questionnaire. Students are expected to be aware of the pros and cons of questionnaire surveys and to be able to justify the value of the data they have collected in the face of probing questions such as:

• Who are the respondents and how they were selected?
• How representative are the respondents of the whole group being studied?
• What response rate was achieved by the survey?
• Are the questions suitable in relation to the topic and the particular respondents?
• What likelihood is there that respondents gave honest answers to the questions?

This is where The Good Research Guide, 6th edition becomes so valuable.

It not only identifies the key points that need to be addressed in order to conduct a competent questionnaire survey, it gets right to the heart of the matter with plenty of practical guidance on how to deal with the issues. In a straightforward style, using plain language, this bestselling book covers a range of alternative strategies and methods for conducting small-scale social research projects and outlines some of the main ways in which the data can be analysed.

Read Prof Martyn Denscombe’s advice on using a Case Study for your postgraduate dissertation

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A good example of an undergraduate dissertation questionnaire.

A questionnaire survey is a good way of collecting data for an undergraduate dissertation in sociology, for example. To compose a proper questionnaire for your particular project, you should learn about different types of questionnaires and look at examples of well-crafted questionnaires.

Types of Undergraduate Dissertation Questionnaires

• A close-ended questionnaire.
• An open- ended questionnaire.

In this type of a questionnaire, a respondent can give a detailed response to a question. They can express their views, ideas, and judgments. An example of an open-ended question would be: “What were the most significant events in the history of the USA?”

• A mixed questionnaire.

This type of a questionnaire contains both open- and close-ended questions. Usually, this type is used in the field of social studies.

• A pictorial questionnaire.

In this type of a questionnaire, the author of a survey attaches a particular picture to each question. Primarily, this type is used to determine social attitudes and prejudices in children. An example of a question in a pictorial questionnaire would be: “What can you see in this picture?”

How to Design an Undergraduate Dissertation Questionnaire

• Determine the requirements of your research.
• Define target respondents.
• Choose a method for contacting target respondents (personal interviews, online surveys, etc.)
• Formulate your questions with the proper wording.
• Arrange your questions in the proper order and format.
• Check the reliability of your questionnaire by pre-testing it on a small group of people.

Where to Get Questionnaire Samples

The easiest way to get an example of a questionnaire is to approach a professor who supervises your academic project. It’s likely that they worked with many other students in the past, so they should have some samples to share with you.

You may also approach local organizations that conduct different social studies. They carry out plenty of questionnaire surveys, so you should be able to purchase many templates from them.

In short, if you want to use a questionnaire survey as one of your research methods, you should examine questionnaires designed by other people and determine what type is suitable for your particular study.

Dissertations & projects: Research questions

• Research questions
• The process of reviewing
• Project management
• Literature-based projects

Jump to content on these pages:

“The central question that you ask or hypothesis you frame drives your research: it defines your purpose.” Bryan Greetham, How to Write Your Undergraduate Dissertation

This page gives some help and guidance in developing a realistic research question. It also considers the role of sub-questions and how these can influence your methodological choices. 

Choosing your research topic

You may have been provided with a list of potential topics or even specific questions to choose from. It is more common for you to have to come up with your own ideas and then refine them with the help of your tutor. This is a crucial decision as you will be immersing yourself in it for a long time.

Some students struggle to find a topic that is sufficiently significant and yet researchable within the limitations of an undergraduate project. You may feel overwhelmed by the freedom to choose your own topic but you could get ideas by considering the following:

Choose a topic that you find interesting . This may seem obvious but a lot of students go for what they think will be easy over what they think will be interesting - and regret it when they realise nothing is particularly easy and they are bored by the work. Think back over your lectures or talks from visiting speakers - was there anything you really enjoyed? Was there anything that left you with questions?

Choose something distinct . Whilst at undergraduate level you do not have to find something completely unique, if you find something a bit different you have more opportunity to come to some interesting conclusions. Have you some unique experiences that you can bring: personal biography, placements, study abroad etc?

Don't make your topic too wide . If your topic is too wide, it will be harder to develop research questions that you can actually answer in the context of a small research project.

Don't make your work too narrow . If your topic is too narrow, you will not be able to expand on the ideas sufficiently and make useful conclusions. You may also struggle to find enough literature to support it.

Scope out the field before deciding your topic . This is especially important if you have a few different options and are not sure which to pick. Spend a little time researching each one to get a feel for the amount of literature that exists and any particular avenues that could be worth exploring.

Think about your future . Some topics may fit better than others with your future plans, be they for further study or employment. Becoming more expert in something that you may have to be interviewed about is never a bad thing!

Once you have an idea (or even a few), speak to your tutor. They will advise on whether it is the right sort of topic for a dissertation or independent study. They have a lot of experience and will know if it is too much to take on, has enough material to build on etc.

Developing a research question or hypothesis

Research question vs hypothesis.

First, it may be useful to explain the difference between a research question and a hypothesis. A research question is simply a question that your research will address and hopefully answer (or give an explanation of why you couldn't answer it). A hypothesis is a statement that suggests how you expect something to function or behave (and which you would test to see if it actually happens or not).

Research question examples

• How significant is league table position when students choose their university?
• What impact can a diagnosis of depression have on physical health?

Note that these are open questions - i.e. they cannot be answered with a simple 'yes' or 'no'. This is the best form of question.

Hypotheses examples

• Students primarily choose their university based on league table position.
• A diagnosis of depression can impact physical health.

Note that these are things that you can test to see if they are true or false. This makes them more definite then research questions - but you can still answer them more fully than 'no they don't' or 'yes it does'. For example, in the above examples you would look to see how relevant other factors were when choosing universities and in what ways physical health may be impacted.

For more examples of the same topic formulated as hypotheses, research questions and paper titles see those given at the bottom of this document from Oakland University: Formulation of Research Hypothesis

Which do you need?

Generally, research questions are more common in the humanities, social sciences and business, whereas hypotheses are more common in the sciences. This is not a hard rule though, talk things through with your supervisor to see which they are expecting or which they think fits best with your topic.

What makes a good research question or hypothesis?

Unless you are undertaking a systematic review as your research method, you will develop your research question  as a result of reviewing the literature on your broader topic. After all, it is only by seeing what research has already been done (or not) that you can justify the need for your question or your approach to answering it. At the end of that process, you should be able to come up with a question or hypothesis that is:

• Clear (easily understandable)
• Focused (specific not vague or huge)
• Answerable (the data is available and analysable in the time frame)
• Relevant (to your area of study)
• Significant (it is worth answering)

You can try a few out, using a table like this (yours would all be in the same discipline):

A similar, though different table is available from the University of California: What makes a good research topic?   The completed table has some supervisor comments which may also be helpful.

Ultimately, your final research question will be mutually agreed between yourself and your supervisor - but you should always bring your own ideas to the conversation.

The role of sub-questions

Your main research question will probably still be too big to answer easily. This is where sub-questions come in. They are specific, narrower questions that you can answer directly from your data.

So, looking at the question " How much do online users know and care about how their self-images can be used by Apple, Google, Microsoft and Facebook? " from the table above, the sub-questions could be:

• What rights do the terms and conditions of signing up for Apple, Google, Microsoft and Facebook accounts give those companies regarding the use of self-images?
• What proportion of users read the terms and conditions when creating accounts with these companies?
• How aware are users of the rights they are giving away regarding their self-images when creating accounts with these companies?
• How comfortable are users with giving away these rights?

Together, the answers to your sub-questions should enable you to answer the overarching research question.

How do you answer your sub-questions?

Depending on the type of dissertation/project your are undertaking, some (or all) the questions may be answered with information collected from the literature and some (or none) may be answered by analysing data directly collected as part of your primary empirical research .

In the above example, the first question would be answered by documentary analysis of the relevant terms and conditions, the second by a mixture of reviewing the literature and analysing survey responses from participants and the last two also by analysing survey responses. Different projects will require different approaches.

Some sub-questions could be answered by reviewing the literature and others from empirical study.

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Research Question Examples – Guide & Tips

Published by Owen Ingram at August 13th, 2021 , Revised On April 4, 2024

All  research questions should be focused, researchable, feasible to answer, specific to find results, complex, and relevant to your field of study. The research question’s factors will be; the research problem ,  research type , project length, and time frame.

Research questions provide boundaries to your research project and provide a clear approach to collect and compile data. Understanding your research question better is necessary to find unique facts and figures to publish your research.

Search and study some research question examples or research questions relevant to your field of study before writing your own research question.

Research Questions for Dissertation Examples

Below are 10 examples of research questions that will enable you to develop research questions for your research.

These examples will help you to check whether your chosen research questions can be addressed or whether they are too broad to find a conclusive answer.

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A dissertation is an important milestone no matter what academic level or subject it is. You will be asked to write a dissertation on a  topic of your choice  and make a substantial contribution to academic and scientific communities.

The project will start with the  planning and designing of a project before the actual write-up phase. There are many stages in the dissertation process , but the most important is developing a research question that guides your research.

If you are starting your dissertation, you will have to conduct preliminary research to  find a problem and research gap as the first step of the process. The second step is to write  research questions that specify your topic and the relevant problem you want to address.

How can we Help you with Research Questions?

If you are still unsure about writing dissertation research questions and perhaps want to see  more examples , you might be interested in getting help from our dissertation writers.

At ResearchProspect, we have UK-qualified writers holding Masters and PhD degrees in all academic subjects. Whether you need help with only developing research questions or any other aspect of your dissertation paper , we are here to help you achieve your desired grades for an affordable price.

Frequently Asked Questions

What are some examples of a research question.

Examples of research questions:

• How does social media influence self-esteem in adolescents?
• What are the economic impacts of climate change on agriculture?
• What factors contribute to employee job satisfaction in the tech industry?
• How does exercise frequency affect cardiovascular health?
• What is the relationship between sleep duration and academic performance in college students?

What are some examples of research questions in the classroom?

• How do interactive whiteboards impact student engagement?
• Does peer tutoring improve maths proficiency?
• How does classroom seating arrangement influence student participation?
• What’s the effect of gamified learning on student motivation?
• Does integrating technology in lessons enhance critical thinking skills?
• How does feedback frequency affect student performance?

What are some examples of research questions in Geography?

• How does urbanisation impact local microclimates?
• What factors influence water scarcity in Region X?
• How do migration patterns correlate with economic disparities?
• What’s the relationship between deforestation and soil erosion in Area Y?
• How have coastlines changed over the past decade?
• Why are certain regions’ biodiversity hotspots?

What are some examples of research questions in Psychology?

• How does social media usage affect adolescent self-esteem?
• What factors contribute to resilience in trauma survivors?
• How does sleep deprivation impact decision-making abilities?
• Are certain teaching methods more effective for children with ADHD?
• What are the psychological effects of long-term social isolation?
• How do early attachments influence adult relationships?

What are the three basic research questions?

The three basic types of research questions are:

• Descriptive: Seeks to depict a phenomenon or issue. E.g., “What are the symptoms of depression?”
• Relational: Investigates relationships between variables. E.g., “Is there a correlation between stress and heart disease?”
• Causal: Determines cause and effect. E.g., “Does smoking cause lung cancer?”

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To help students organise their dissertation proposal paper correctly, we have put together detailed guidelines on how to structure a dissertation proposal.

How to write a hypothesis for dissertation,? A hypothesis is a statement that can be tested with the help of experimental or theoretical research.

Penning your dissertation proposal can be a rather daunting task. Here are comprehensive guidelines on how to write a dissertation proposal.

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What’s Included: The Dissertation Template

If you’re preparing to write your dissertation, thesis or research project, our free dissertation template is the perfect starting point. In the template, we cover every section step by step, with clear, straightforward explanations and examples .

The template’s structure is based on the tried and trusted best-practice format for formal academic research projects such as dissertations and theses. The template structure reflects the overall research process, ensuring your dissertation or thesis will have a smooth, logical flow from chapter to chapter.

The dissertation template covers the following core sections:

• The title page/cover page
• Abstract (sometimes also called the executive summary)
• Table of contents
• List of figures /list of tables
• Chapter 1: Introduction  (also available: in-depth introduction template )
• Chapter 2: Literature review  (also available: in-depth LR template )
• Chapter 3: Methodology (also available: in-depth methodology template )
• Chapter 4: Research findings /results (also available: results template )
• Chapter 5: Discussion /analysis of findings (also available: discussion template )
• Chapter 6: Conclusion (also available: in-depth conclusion template )
• Reference list

Each section is explained in plain, straightforward language , followed by an overview of the key elements that you need to cover within each section. We’ve also included practical examples to help you understand exactly what’s required in each section.

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.

FAQs: Dissertation Template

What format is the template (doc, pdf, ppt, etc.).

The dissertation 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.

What types of dissertations/theses can this template be used for?

The template follows the standard best-practice structure for formal academic research projects such as dissertations or theses, so it is suitable for the vast majority of degrees, particularly those within the sciences.

Some universities may have some additional requirements, but these are typically minor, with the core structure remaining the same. Therefore, it’s always a good idea to double-check your university’s requirements before you finalise your structure.

Will this work for a research paper?

A research paper follows a similar format, but there are a few differences. You can find our research paper template here .

Is this template for an undergrad, Masters or PhD-level thesis?

This template can be used for a dissertation, thesis or research project at any level of study. It may be slight overkill for an undergraduate-level study, but it certainly won’t be missing anything.

How long should my dissertation/thesis be?

This depends entirely on your university’s specific requirements, so it’s best to check with them. As a general ballpark, Masters-level projects are usually 15,000 – 20,000 words in length, while Doctoral-level projects are often in excess of 60,000 words.

What about the research proposal?

If you’re still working on your research proposal, we’ve got a template for that here .

We’ve also got loads of proposal-related guides and videos over on the Grad Coach blog .

How do I write a literature review?

We have a wealth of free resources on the Grad Coach Blog that unpack how to write a literature review from scratch. You can check out the literature review section of the blog here.

How do I create a research methodology?

We have a wealth of free resources on the Grad Coach Blog that unpack research methodology, both qualitative and quantitative. You can check out the methodology section of the blog here.

Can I share this dissertation template with my friends/colleagues?

Yes, you’re welcome to share this template. If you want to post about it on your blog or social media, all we ask is that you reference this page as your source.

Can Grad Coach help me with my dissertation/thesis?

Within the template, you’ll find plain-language explanations of each section, which should give you a fair amount of guidance. However, you’re also welcome to consider our dissertation and thesis coaching services .

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• Knowledge Base
• Methodology
• Doing Survey Research | A Step-by-Step Guide & Examples

Doing Survey Research | A Step-by-Step Guide & Examples

Published on 6 May 2022 by Shona McCombes . Revised on 10 October 2022.

Survey research means collecting information about a group of people by asking them questions and analysing the results. To conduct an effective survey, follow these six steps:

• Determine who will participate in the survey
• Decide the type of survey (mail, online, or in-person)
• Design the survey questions and layout
• Distribute the survey
• Analyse the responses
• Write up the results

Surveys are a flexible method of data collection that can be used in many different types of research .

Table of contents

What are surveys used for, step 1: define the population and sample, step 2: decide on the type of survey, step 3: design the survey questions, step 4: distribute the survey and collect responses, step 5: analyse the survey results, step 6: write up the survey results, frequently asked questions about surveys.

Surveys are used as a method of gathering data in many different fields. They are a good choice when you want to find out about the characteristics, preferences, opinions, or beliefs of a group of people.

Common uses of survey research include:

• Social research: Investigating the experiences and characteristics of different social groups
• Market research: Finding out what customers think about products, services, and companies
• Health research: Collecting data from patients about symptoms and treatments
• Politics: Measuring public opinion about parties and policies
• Psychology: Researching personality traits, preferences, and behaviours

Surveys can be used in both cross-sectional studies , where you collect data just once, and longitudinal studies , where you survey the same sample several times over an extended period.

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Before you start conducting survey research, you should already have a clear research question that defines what you want to find out. Based on this question, you need to determine exactly who you will target to participate in the survey.

Populations

The target population is the specific group of people that you want to find out about. This group can be very broad or relatively narrow. For example:

• The population of Brazil
• University students in the UK
• Second-generation immigrants in the Netherlands
• Customers of a specific company aged 18 to 24
• British transgender women over the age of 50

Your survey should aim to produce results that can be generalised to the whole population. That means you need to carefully define exactly who you want to draw conclusions about.

It’s rarely possible to survey the entire population of your research – it would be very difficult to get a response from every person in Brazil or every university student in the UK. Instead, you will usually survey a sample from the population.

The sample size depends on how big the population is. You can use an online sample calculator to work out how many responses you need.

There are many sampling methods that allow you to generalise to broad populations. In general, though, the sample should aim to be representative of the population as a whole. The larger and more representative your sample, the more valid your conclusions.

There are two main types of survey:

• A questionnaire , where a list of questions is distributed by post, online, or in person, and respondents fill it out themselves
• An interview , where the researcher asks a set of questions by phone or in person and records the responses

Which type you choose depends on the sample size and location, as well as the focus of the research.

Questionnaires

Sending out a paper survey by post is a common method of gathering demographic information (for example, in a government census of the population).

• You can easily access a large sample.
• You have some control over who is included in the sample (e.g., residents of a specific region).
• The response rate is often low.

Online surveys are a popular choice for students doing dissertation research , due to the low cost and flexibility of this method. There are many online tools available for constructing surveys, such as SurveyMonkey and Google Forms .

• You can quickly access a large sample without constraints on time or location.
• The data is easy to process and analyse.
• The anonymity and accessibility of online surveys mean you have less control over who responds.

If your research focuses on a specific location, you can distribute a written questionnaire to be completed by respondents on the spot. For example, you could approach the customers of a shopping centre or ask all students to complete a questionnaire at the end of a class.

• You can screen respondents to make sure only people in the target population are included in the sample.
• You can collect time- and location-specific data (e.g., the opinions of a shop’s weekday customers).
• The sample size will be smaller, so this method is less suitable for collecting data on broad populations.

Oral interviews are a useful method for smaller sample sizes. They allow you to gather more in-depth information on people’s opinions and preferences. You can conduct interviews by phone or in person.

• You have personal contact with respondents, so you know exactly who will be included in the sample in advance.
• You can clarify questions and ask for follow-up information when necessary.
• The lack of anonymity may cause respondents to answer less honestly, and there is more risk of researcher bias.

Like questionnaires, interviews can be used to collect quantitative data : the researcher records each response as a category or rating and statistically analyses the results. But they are more commonly used to collect qualitative data : the interviewees’ full responses are transcribed and analysed individually to gain a richer understanding of their opinions and feelings.

Next, you need to decide which questions you will ask and how you will ask them. It’s important to consider:

• The type of questions
• The content of the questions
• The phrasing of the questions
• The ordering and layout of the survey

Open-ended vs closed-ended questions

There are two main forms of survey questions: open-ended and closed-ended. Many surveys use a combination of both.

Closed-ended questions give the respondent a predetermined set of answers to choose from. A closed-ended question can include:

• A binary answer (e.g., yes/no or agree/disagree )
• A scale (e.g., a Likert scale with five points ranging from strongly agree to strongly disagree )
• A list of options with a single answer possible (e.g., age categories)
• A list of options with multiple answers possible (e.g., leisure interests)

Closed-ended questions are best for quantitative research . They provide you with numerical data that can be statistically analysed to find patterns, trends, and correlations .

Open-ended questions are best for qualitative research. This type of question has no predetermined answers to choose from. Instead, the respondent answers in their own words.

Open questions are most common in interviews, but you can also use them in questionnaires. They are often useful as follow-up questions to ask for more detailed explanations of responses to the closed questions.

The content of the survey questions

To ensure the validity and reliability of your results, you need to carefully consider each question in the survey. All questions should be narrowly focused with enough context for the respondent to answer accurately. Avoid questions that are not directly relevant to the survey’s purpose.

When constructing closed-ended questions, ensure that the options cover all possibilities. If you include a list of options that isn’t exhaustive, you can add an ‘other’ field.

Phrasing the survey questions

In terms of language, the survey questions should be as clear and precise as possible. Tailor the questions to your target population, keeping in mind their level of knowledge of the topic.

Use language that respondents will easily understand, and avoid words with vague or ambiguous meanings. Make sure your questions are phrased neutrally, with no bias towards one answer or another.

Ordering the survey questions

The questions should be arranged in a logical order. Start with easy, non-sensitive, closed-ended questions that will encourage the respondent to continue.

If the survey covers several different topics or themes, group together related questions. You can divide a questionnaire into sections to help respondents understand what is being asked in each part.

If a question refers back to or depends on the answer to a previous question, they should be placed directly next to one another.

Before you start, create a clear plan for where, when, how, and with whom you will conduct the survey. Determine in advance how many responses you require and how you will gain access to the sample.

When you are satisfied that you have created a strong research design suitable for answering your research questions, you can conduct the survey through your method of choice – by post, online, or in person.

There are many methods of analysing the results of your survey. First you have to process the data, usually with the help of a computer program to sort all the responses. You should also cleanse the data by removing incomplete or incorrectly completed responses.

If you asked open-ended questions, you will have to code the responses by assigning labels to each response and organising them into categories or themes. You can also use more qualitative methods, such as thematic analysis , which is especially suitable for analysing interviews.

Statistical analysis is usually conducted using programs like SPSS or Stata. The same set of survey data can be subject to many analyses.

Finally, when you have collected and analysed all the necessary data, you will write it up as part of your thesis, dissertation , or research paper .

In the methodology section, you describe exactly how you conducted the survey. You should explain the types of questions you used, the sampling method, when and where the survey took place, and the response rate. You can include the full questionnaire as an appendix and refer to it in the text if relevant.

Then introduce the analysis by describing how you prepared the data and the statistical methods you used to analyse it. In the results section, you summarise the key results from your analysis.

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

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

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

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

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

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

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Signs of avian flu found in San Francisco wastewater

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Signs of H5N1 bird flu virus have been detected at three wastewater sites in California’s Bay Area, according to sampling data.

While positive wastewater samples have been found in seven other states, California is the only one that has yet to report a bird flu outbreak in a herd of dairy cows.

Genetic evidence of bird flu was detected in San Francisco wastewater on June 18 and June 26. Additional H5 “hits” were seen at a site in Palo Alto on June 19, and another on June 10 from the West County Wastewater facility in Richmond.

According to the San Francisco Department of Public Health, officials have been closely monitoring H5N1 along with federal, state and local partners, and are “aware of the recent detections of fragments of H5N1 in San Francisco’s wastewater.”

“As with the previous detections reported from before mid-May 2024, it is unclear what the source of H5N1 is, and an investigation is ongoing,” wrote department officials in a statement. “It is possible that it originated from bird waste or waste from other animals due to San Francisco’s sewer system that collects and treats both wastewater and stormwater in the same network of pipes.”

Climate & Environment

Is bird flu in cattle here to stay?

Despite assurances from the federal government that bird flu will be eradicated from dairy cows, some experts worry the disease is here to stay.

June 27, 2024

Health officials said the risk remains low for the general public.

The virus has not been identified in California cows, but it has been found in wild birds and domestic poultry in the state.

The finding “is concerning” because of their urban origin, said Devabhaktuni Srikrishna, an entrepreneur who is developing techniques for disease detection, and the chief executive and founder of PatientKnowHow.com. “There are not many dairy or animal farms in San Francisco.”

There are also no dairy farms in Palo Alto or Richmond.

The plant manager from Palo Alto was out of the office Friday, so could not comment. A spokesperson for the Richmond site directed questions to the state.

A request for comment from the state’s Wastewater Surveillance Program had not yet been returned.

Although the samples from the Bay Area wastewater sites tested positive for H5, the testing was not specific to H5N1.

However, researchers say a positive genetic identification for H5 is suggestive of bird flu — whether H5N1, the virus that has been found in U.S. dairy cattle (and which has infected three dairy workers ) or H5N2, the subtype implicated in the death of a man from Mexico City this month.

Most human influenza A viruses are of the H1 and H3 variety.

What you need to know about the bird flu outbreak, concerns about raw milk, and more

Answering the basics on Bird Flu 2024

May 15, 2024

The virus has been detected in 133 dairy herds across 12 states. It has also been found in wild birds and domestic poultry flocks throughout the United States.

In recent weeks, H5 was also detected in wastewater samples in Idaho. among other states.

While there is “no threat to the general public from the H5 detection in wastewater” at this time, said Christine Hahn, Idaho state epidemiologist, “we have determined that it is important that we work to understand these recent findings as much as possible.”

The state is working in conjunction with the Centers for Disease Control and Prevention to investigate the issue.

WastewaterSCAN, the research organization that detected the virus, is an infectious disease monitoring network run by researchers at Stanford, Emory University and Verily, Alphabet Inc.’s life sciences organization.

A review of their data — which samples from 194 locations across the country — suggests H5 has also been detected at sites in Michigan, Texas, Minnesota, South Dakota and Iowa.

California is the only one of these states that has not reported H5N1-infected cattle.

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Susanne Rust is an award-winning investigative reporter specializing in environmental issues. She is based in the Bay Area.

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See the verdict slip jurors are reviewing in the Karen Read trial

After a trial that lasted two months, six female and six male jurors are deliberating in the trial of Karen Read , who faces several charges related to the death of her boyfriend, John O’Keefe, a Boston police officer.

Read, 44, of Mansfield, is accused of running over O’Keefe, with her SUV on Jan. 29, 2022, after dropping him off at a house party in Canton following a night of heavy drinking with friends at bars. He was found dead in the snow hours later.

Lawyers for Read presented a vigorous defense arguing that O’Keefe was being scapegoated for O’Keefe’s death, and they suggested he was actually beaten and left to die by people who were at the house party, which was owned by another Boston police officer.

Read faces charges including second-degree murder, manslaughter while operating under the influence of alcohol, and leaving a scene of personal injury and death.

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Here is a copy of the verdict slip jurors are contemplating, along with the instructions Judge Beverly Cannone delivered to the jury before deliberations began.

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• Knowledge Base

Methodology

• Survey Research | Definition, Examples & Methods

Survey Research | Definition, Examples & Methods

Published on August 20, 2019 by Shona McCombes . Revised on June 22, 2023.

Survey research means collecting information about a group of people by asking them questions and analyzing the results. To conduct an effective survey, follow these six steps:

• Determine who will participate in the survey
• Decide the type of survey (mail, online, or in-person)
• Design the survey questions and layout
• Distribute the survey
• Analyze the responses
• Write up the results

Surveys are a flexible method of data collection that can be used in many different types of research .

Table of contents

What are surveys used for, step 1: define the population and sample, step 2: decide on the type of survey, step 3: design the survey questions, step 4: distribute the survey and collect responses, step 5: analyze the survey results, step 6: write up the survey results, other interesting articles, frequently asked questions about surveys.

Surveys are used as a method of gathering data in many different fields. They are a good choice when you want to find out about the characteristics, preferences, opinions, or beliefs of a group of people.

Common uses of survey research include:

• Social research : investigating the experiences and characteristics of different social groups
• Market research : finding out what customers think about products, services, and companies
• Health research : collecting data from patients about symptoms and treatments
• Politics : measuring public opinion about parties and policies
• Psychology : researching personality traits, preferences and behaviours

Surveys can be used in both cross-sectional studies , where you collect data just once, and in longitudinal studies , where you survey the same sample several times over an extended period.

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Before you start conducting survey research, you should already have a clear research question that defines what you want to find out. Based on this question, you need to determine exactly who you will target to participate in the survey.

Populations

The target population is the specific group of people that you want to find out about. This group can be very broad or relatively narrow. For example:

• The population of Brazil
• US college students
• Second-generation immigrants in the Netherlands
• Customers of a specific company aged 18-24
• British transgender women over the age of 50

Your survey should aim to produce results that can be generalized to the whole population. That means you need to carefully define exactly who you want to draw conclusions about.

Several common research biases can arise if your survey is not generalizable, particularly sampling bias and selection bias . The presence of these biases have serious repercussions for the validity of your results.

It’s rarely possible to survey the entire population of your research – it would be very difficult to get a response from every person in Brazil or every college student in the US. Instead, you will usually survey a sample from the population.

The sample size depends on how big the population is. You can use an online sample calculator to work out how many responses you need.

There are many sampling methods that allow you to generalize to broad populations. In general, though, the sample should aim to be representative of the population as a whole. The larger and more representative your sample, the more valid your conclusions. Again, beware of various types of sampling bias as you design your sample, particularly self-selection bias , nonresponse bias , undercoverage bias , and survivorship bias .

There are two main types of survey:

• A questionnaire , where a list of questions is distributed by mail, online or in person, and respondents fill it out themselves.
• An interview , where the researcher asks a set of questions by phone or in person and records the responses.

Which type you choose depends on the sample size and location, as well as the focus of the research.

Questionnaires

Sending out a paper survey by mail is a common method of gathering demographic information (for example, in a government census of the population).

• You can easily access a large sample.
• You have some control over who is included in the sample (e.g. residents of a specific region).
• The response rate is often low, and at risk for biases like self-selection bias .

Online surveys are a popular choice for students doing dissertation research , due to the low cost and flexibility of this method. There are many online tools available for constructing surveys, such as SurveyMonkey and Google Forms .

• You can quickly access a large sample without constraints on time or location.
• The data is easy to process and analyze.
• The anonymity and accessibility of online surveys mean you have less control over who responds, which can lead to biases like self-selection bias .

If your research focuses on a specific location, you can distribute a written questionnaire to be completed by respondents on the spot. For example, you could approach the customers of a shopping mall or ask all students to complete a questionnaire at the end of a class.

• You can screen respondents to make sure only people in the target population are included in the sample.
• You can collect time- and location-specific data (e.g. the opinions of a store’s weekday customers).
• The sample size will be smaller, so this method is less suitable for collecting data on broad populations and is at risk for sampling bias .

Oral interviews are a useful method for smaller sample sizes. They allow you to gather more in-depth information on people’s opinions and preferences. You can conduct interviews by phone or in person.

• You have personal contact with respondents, so you know exactly who will be included in the sample in advance.
• You can clarify questions and ask for follow-up information when necessary.
• The lack of anonymity may cause respondents to answer less honestly, and there is more risk of researcher bias.

Like questionnaires, interviews can be used to collect quantitative data: the researcher records each response as a category or rating and statistically analyzes the results. But they are more commonly used to collect qualitative data : the interviewees’ full responses are transcribed and analyzed individually to gain a richer understanding of their opinions and feelings.

Next, you need to decide which questions you will ask and how you will ask them. It’s important to consider:

• The type of questions
• The content of the questions
• The phrasing of the questions
• The ordering and layout of the survey

Open-ended vs closed-ended questions

There are two main forms of survey questions: open-ended and closed-ended. Many surveys use a combination of both.

Closed-ended questions give the respondent a predetermined set of answers to choose from. A closed-ended question can include:

• A binary answer (e.g. yes/no or agree/disagree )
• A scale (e.g. a Likert scale with five points ranging from strongly agree to strongly disagree )
• A list of options with a single answer possible (e.g. age categories)
• A list of options with multiple answers possible (e.g. leisure interests)

Closed-ended questions are best for quantitative research . They provide you with numerical data that can be statistically analyzed to find patterns, trends, and correlations .

Open-ended questions are best for qualitative research. This type of question has no predetermined answers to choose from. Instead, the respondent answers in their own words.

Open questions are most common in interviews, but you can also use them in questionnaires. They are often useful as follow-up questions to ask for more detailed explanations of responses to the closed questions.

The content of the survey questions

To ensure the validity and reliability of your results, you need to carefully consider each question in the survey. All questions should be narrowly focused with enough context for the respondent to answer accurately. Avoid questions that are not directly relevant to the survey’s purpose.

When constructing closed-ended questions, ensure that the options cover all possibilities. If you include a list of options that isn’t exhaustive, you can add an “other” field.

Phrasing the survey questions

In terms of language, the survey questions should be as clear and precise as possible. Tailor the questions to your target population, keeping in mind their level of knowledge of the topic. Avoid jargon or industry-specific terminology.

Survey questions are at risk for biases like social desirability bias , the Hawthorne effect , or demand characteristics . It’s critical to use language that respondents will easily understand, and avoid words with vague or ambiguous meanings. Make sure your questions are phrased neutrally, with no indication that you’d prefer a particular answer or emotion.

Ordering the survey questions

The questions should be arranged in a logical order. Start with easy, non-sensitive, closed-ended questions that will encourage the respondent to continue.

If the survey covers several different topics or themes, group together related questions. You can divide a questionnaire into sections to help respondents understand what is being asked in each part.

If a question refers back to or depends on the answer to a previous question, they should be placed directly next to one another.

Before you start, create a clear plan for where, when, how, and with whom you will conduct the survey. Determine in advance how many responses you require and how you will gain access to the sample.

When you are satisfied that you have created a strong research design suitable for answering your research questions, you can conduct the survey through your method of choice – by mail, online, or in person.

There are many methods of analyzing the results of your survey. First you have to process the data, usually with the help of a computer program to sort all the responses. You should also clean the data by removing incomplete or incorrectly completed responses.

If you asked open-ended questions, you will have to code the responses by assigning labels to each response and organizing them into categories or themes. You can also use more qualitative methods, such as thematic analysis , which is especially suitable for analyzing interviews.

Statistical analysis is usually conducted using programs like SPSS or Stata. The same set of survey data can be subject to many analyses.

Finally, when you have collected and analyzed all the necessary data, you will write it up as part of your thesis, dissertation , or research paper .

In the methodology section, you describe exactly how you conducted the survey. You should explain the types of questions you used, the sampling method, when and where the survey took place, and the response rate. You can include the full questionnaire as an appendix and refer to it in the text if relevant.

Then introduce the analysis by describing how you prepared the data and the statistical methods you used to analyze it. In the results section, you summarize the key results from your analysis.

In the discussion and conclusion , you give your explanations and interpretations of these results, answer your research question, and reflect on the implications and limitations of the research.

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.

• Student’s  t -distribution
• Normal distribution
• Null and Alternative Hypotheses
• Chi square tests
• Confidence interval
• Quartiles & Quantiles
• Cluster sampling
• Stratified sampling
• Data cleansing
• Reproducibility vs Replicability
• Peer review
• Prospective cohort study

Research bias

• Implicit bias
• Cognitive bias
• Placebo effect
• Hawthorne effect
• Hindsight bias
• Affect heuristic
• Social desirability bias

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

A Likert scale is a rating scale that quantitatively assesses opinions, attitudes, or behaviors. It is made up of 4 or more questions that measure a single attitude or trait when response scores are combined.

To use a Likert scale in a survey , you present participants with Likert-type questions or statements, and a continuum of items, usually with 5 or 7 possible responses, to capture their degree of agreement.

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

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

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

The priorities of a research design can vary depending on the field, but you usually have to specify:

• Your research questions and/or hypotheses
• Your overall approach (e.g., qualitative or quantitative )
• The type of design you’re using (e.g., a survey , experiment , or case study )
• Your sampling methods or criteria for selecting subjects
• Your data collection methods (e.g., questionnaires , observations)
• Your data collection procedures (e.g., operationalization , timing and data management)
• Your data analysis methods (e.g., statistical tests  or thematic analysis )

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McCombes, S. (2023, June 22). Survey Research | Definition, Examples & Methods. Scribbr. Retrieved June 26, 2024, from https://www.scribbr.com/methodology/survey-research/

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