sample format of survey questionnaire for thesis

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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How to Write a Thesis or Dissertation Questionnaire?

Published by Alvin Nicolas at August 7th, 2024 , Revised On August 7, 2024

Do you know the first questionnaire was developed in 1838? It was designed to collect responses from individuals to understand their behaviour towards various stimuli. Since then, scientists have been using questionnaires to collect statistical data. The invention of the questionnaire gave birth to subjects like Sociology and Statistics .

Nowadays, sociology or psychology students also collect statistical data and information using questionnaires to understand individuals’ behaviour. Excellent questionnaires help produce high-quality research results.

This blog comprehensively discusses what a thesis or dissertation questionnaire is and the steps involved in writing one. Learn how to write a questionnaire and optimise your research process .

What is a Thesis or Dissertation Questionnaire?

A questionnaire is a set of specific questions that are particularly designed to assess the preferences, intentions, experiences, opinions, and behaviour of the individuals. In a thesis or dissertation, students use questionnaires to collect qualitative or quantitative data relevant to their subjects.

However, using questionnaires to collect data and information is a very tiresome and hectic task because researchers have to wait for the respondents to answer all the questions.

Importance of Thesis & Dissertation Questionnaire

Imagine you want to ask one or two questions from an individual. You can easily ask him/her those questions. What would you do when you have to record their thorough response to multiple questions? In that case, the questionnaire is the best option for collecting individual responses.

A thesis or dissertation questionnaire does not specify precisely whether it is used for simple research or a survey. In the case of a survey, there would always be a questionnaire. Here are the reasons why a thesis or dissertation questionnaire is important during the research process:

• Questionnaires help researchers collect data in an organised and systematic manner.
• With questionnaires, data can be efficiently analysed and quick conclusions can be drawn.
• There are no extensive costs involved in to design research questionnaires. It is a cost-effective method to collect data.
• Researchers can ask multiple questions to record the response about a specific topic thoroughly.

Several formalities are involved in collecting data through a questionnaire. One basic consideration is the dissertation questionnaire consent form.

Dissertation Questionnaire Consent Form

The questionnaire consent form is the document the participants sign to indicate their consent to participate in the research process. It is crucial to ask for their consent because data and information are used for research purposes. Also, inform them about the topic so they can decide efficiently.

The questionnaire consent form is usually presented on the first page of the thesis or dissertation questionnaire. It contains the participant’s personal and contact information.

Online Dissertation Questionnaire

As you know, in this digital age, everything is shifting to digital platforms. There was a time when researchers had to wait for the individuals to fill out the questionnaire paper. No doubt, it was a tiresome task. Now, researchers send the thesis or dissertation questionnaires to digital platforms such as email, inbox, and social media.

Online dissertation questionnaire tools such as Google Forms, Microsoft Forms, and SurveyPlanet have made data analysis and collection much more convenient and reliable.

Components of an Excellent Dissertation Questionnaire

These are the components of an excellent thesis or dissertation questionnaire:

It has a Structured Design

The best property of a good dissertation questionnaire is its structured design. When questions and their categories are efficiently structured in a questionnaire, it provides an eye-catching look. This helps the participants to fill out the questionnaire more proficiently.

It Contains Unique and Exploratory Questions

An outstanding questionnaire always has unique and well-researched questions rather than overly used typical ones. Every question can provide a sufficient response. It contains exploratory questions to explore even minor information about the participants thoroughly.

It has Likert Scales

Likert scales are a measurement method in research to assess attitudes, opinions, and perceptions. They are widely used in the questionnaires to generate responses accurately. When a questionnaire has Likert scales, it makes it easy for the researchers to derive results from that.

It has Consistency of Questions

Another sign of an excellent question is its consistency. It contains perfectly categorised questions that make sense to the participants from start to end. Every question follows an appropriate question systematically.

Difference Between Questionnaire and Survey

Steps Involved in Writing a Dissertation Questionnaire

Writing a thesis or dissertation questionnaire requires different methods. These methods can be modified accordingly to make your questionnaire relevant to your research objectives. However, the essential steps involved in writing a dissertation questionnaire are given as follows:

Step 1: Establish Your Research Objectives To Ese Your Research Process

The first step in writing a thesis or dissertation question is establishing the research objectives. You have to be clear about your research goals. The research is usually done to fill an already-present gap in the data. It is done to find significant solutions to specific problems. It is crucial to have the goals to solve a problem.

Step 2: Assess the Requirements to Ensure They Are Achievable

It is also important to assess the research requirements. Requirements will help you know what you need and what you don’t need to write your research questionnaire. It is easy to start a research process when all the requirements are easily achievable. Also, the time and money spent on the questionnaire should be considered.

Step 3: Choose the Right Data Collection Method To Derive Authentic Results

There are many data collection methods , such as in-person, telephone, email, direct mail, and online platforms. It is essential to choose the proper data collection method that can be easily used to deliver authentic results. You should also design your questionnaire according to the collection method.

Methodology

Methodology is the collection of particular techniques for collecting and processing data. Create an efficient research methodology to collect data accurately. It will help you optimise and streamline your research process.

Step 4: Develop the Unique and Logical Questions for Data Collection

After selecting an appropriate data collection method, it is time to develop unique questionnaire questions. The questions should be logical and follow a series of numbers. Close-ended questions are used in the writing of dissertation or thesis questionnaires.

Step 5: Set the Perfect Scaling According to Your Questions

Scaling is used to calculate the response of the participants. Researchers should set the perfect scaling according to the nature of the questions. The Likert scale is the most widely used in questionnaires. It allows researchers to generate responses of participants from the right extreme to the left extreme.

Step 6: Creatively Design the Questionnaire to Enhance Its Visual Appeal

The next step is designing the layout of the questionnaire. It is crucial to enhance the visual appeal of the questionnaire. The design and colour of the questionnaire should be selected according to the theme of the topic. Moreover, a graphically appealing questionnaire also enhances the engagement of readers.

Step 7: Analysing & Evaluation the Questionnaire To Remove Discrepancies

The most important step after designing is analysing and evaluating. This step will allow you to fill gaps if there are any. Check the alignment of the questions and scaling. The numbering should be perfect. The colouring and design should also be on point. This step proceeds with the testing.

Step 8: Pretest With a Small Population and Collect Necessary Feedback

After completing the questionnaire, prepare to pretest it with a small population. Check the responses of the participants thoroughly. Be open to feedback and criticism. It will help you consider revisions and alterations and improve your questionnaire.

Step 9: Revise to Make Changes To Enhance the Quality

If there are any changes required in the questionnaire, make them immediately. Revise your questionnaire again and again to illuminate even a minor mistake. Also, take feedback from your peers to further enhance the quality of your questionnaire.

Step 10: Finalising the Questionnaire and Launching it for the Research

When all the required changes and revisions are made, it’s time to finalise the questionnaire. Again, go through all its important obligations and ensure everything is in perfect shape. When everything is done from your side, it’s time to finalise and launch it for the actual research.

Dissertation Questionnaire Examples

Here, we’ll discuss the sample and template of the dissertation questionnaire to understand how it looks. This will significantly help us create our dissertation questionnaire.

Dissertation Questionnaire Template

Here is a template of the dissertation questionnaire:

[Introduction of the Researcher with all the key objectives briefly explained.]

[Questionnaire consent Form]

Dissertation Questionnaire Example

Introduction: Hello. My name is ……….. I am currently studying at………………. and doing my …………………………. I am conducting this research to [agenda of the study].This research will help me to provide solutions to all these problems:

[Problems and solutions]

This questionnaire contains XX questions. It will just take 15 minutes to complete it. All your personal information and responses will be kept anonymous from other participants. There are both open-ended and close-ended questions. Answer them honestly. Thank you.

Part 1: Multiple Choice Questions

• Are you a male or a female?

• Have you completed your bachelor’s degree?

• Did you study your major according to your passion?
• Are you doing a job related to your degree?
• Are you satisfied with your current job?

Frequently Asked Questions

How long should a dissertation questionnaire be.

The length of your questionnaire should be according to your objectives. There is no fixed number of questions in a questionnaire. Some questionnaires are basic, some are exploratory, and some are in-depth. However, an ideal questionnaire should be completed in 25 to 30 minutes without losing the participant’s interest. 

How many questions should a dissertation questionnaire have?

It’s entirely up to you to add as many questions as you want. Remember that you should add enough questions to complete your research objectives. Avoid adding excessive questions, as they can be boring for participants.

How to analyse a questionnaire for a dissertation?

These are the necessary tips to analyse a questionnaire for a dissertation: 

• Pile up all the responses 
• Analyse all the questions
• Visualise the collected data
• Interpretation of results

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Learn how to write a good declaration page for your thesis with the help of our step-by-step comprehensive guide. Read now.

Your dissertation introduction chapter provides detailed information on the research problem, significance of research, and research aim & objectives.

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• 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.

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Dissertation & Thesis Survey Design 101

5 Common Mistakes To Avoid (+ Examples)

By: David Phair (PhD) & Kerryn Warren (PhD) | April 2022

Surveys are a powerful way to collect data for your dissertation, thesis or research project. Done right, a good survey allows you to collect large swathes of useful data with (relatively) little effort. However, if not designed well, you can run into serious issues.

Over the years, we’ve encountered numerous common mistakes students make when it comes to survey design. In this post, we’ll unpack five of these costly mistakes.

Overview: 5 Survey Design Mistakes

• Having poor overall survey structure and flow
• Using poorly constructed questions and/or statements
• Implementing inappropriate response types
• Using unreliable and/or invalid scales  and measures
• Designing without consideration for analysis techniques

Mistake #1: Having poor structure and flow

One of the most common issues we see is poor overall survey structure and flow . If a survey is designed badly, it will discourage participants from completing it. As a result, few participants will take the time to respond to the survey, which can lead to a small sample size and poor or even unusable results . Let’s look at a few best practices to ensure good overall structure and flow.

1. Make sure your survey is aligned with your study’s “golden thread”.

The first step might seem obvious, but it’s important to develop survey questions that are tightly aligned with your research question(s), aims and objectives – in other words, “your golden thread”. Your survey serves to generate the data that will answer these key ideas in your thesis; if it doesn’t do that, you’ve got a serious problem. To put it simply, it’s critically important to design your survey questions with the golden thread of your study front of mind at all times.

2. Order your questions in an intuitive, logical way.

The types of questions you ask and when you ask them are vital aspects when designing an effective survey. To avoid losing respondents, you need to order your questions clearly and logically.

In general, it’s a good idea to ask exclusion questions upfront . For example, if your research is focused on an aspect of women’s lives, your first question should be one to determine the gender of the respondent (and filter out unsuitable respondents). Once that’s out of the way, the exclusion questions can be followed by questions related to the key constructs or ideas and/or the dependent and independent variables in your study.

Lastly, the demographics-related questions are usually positioned at the end of the survey. These are questions related to the characteristics of your respondents (e.g., age, race, occupation). It’s a good idea to position these questions at the end of your survey because respondents can get caught up in these identity-related questions as they move through the rest of your survey. Placing them at the end of your survey helps ensure that the questions related to the core constructs of your study will have the respondents’ full attention.

3. Design for user experience and ease of use.

This might seem obvious, but it’s essential to carefully consider your respondents’ “journey” when designing your survey. In other words, you need to keep user experience and engagement front of mind when designing your survey.

One way of creating a good user experience is to have a clear introduction or cover page upfront. On this intro page, it’s good to communicate the estimated time required to complete the survey (generally, 15 to 20 minutes is reasonable). Also, make u se of headings and short explainers to help respondents understand the context of each question or section in your survey. It’s also helpful if you provide a progress indicator to indicate how far they are in completing the survey.

Naturally, readability is important to a successful survey. So, keep the survey content as concise as possible, as people tend to drop out of long surveys. A general rule of thumb is to make use of plain, easy-to-understand language . Related to this, always carefully edit and proofread your survey before launching it. Typos, grammar and formatting issues will heavily detract from the credibility of your work and will likely increase respondent dropout.

In cases where you have no choice but to use a technical term or industry jargon, be sure to explain the meaning (define the term) first. You don’t want respondents to be distracted or confused by the technical aspects of your survey. In addition to this, create a logical flow by grouping related topics together and moving from general to more specific questions.

You should also think about what devices respondents will use to access your survey. Because many people use their phones to complete your survey, making it mobile-friendly means more people will be able to respond, which is hugely beneficial. By hosting your survey on a trusted provider (e.g., SurveyMonkey or Qualtrix), the mobile aspect should be taken care of, but always test your survey on a few devices.  Aside from making the data collection easier, using a well-established survey platform will also make processing your survey data easier.

4.  Prioritise ethics and data privacy.

The last (and very important) point to consider when designing your survey is the ethical requirements. Your survey design must adhere to all ethics policies and data protection laws of your country. If you (or your respondents) are in Europe for instance, you’ll need to comply with GDPR. It’s also essential to highlight to your respondents that all data collected will be handled and stored securely , to minimise any concerns about the confidentiality and safety of their data.

Mistake #2: Using poorly constructed questions

Another common survey design issue we encounter is poorly constructed questions and statements. There are a few ways in which questions can be poorly constructed. These usually fall into four broad categories: 

• Loaded questions
• Leading questions
• Double-barreled questions
• Vague questions 

Let’s look at each of these. 

A loaded question assumes something about the respondent without having any data to support that assumption. For example, if the question asks, “Where is your favourite place to eat steak?”, it assumes that the respondent eats steak. Clearly, this is problematic for respondents that are vegetarians or vegans, or people that simply don’t like steak. 

A leading question pushes the respondent to answer in a certain way. For example, a question such as, “How would you rate the excellent service at our restaurant?” is trying to influence the way that the respondent thinks about the service at the restaurant. This can be annoying to the respondent (at best) or lead them to respond in a way they wouldn’t have, had the question been more objective.

Need a helping hand?

A double-barreled question is a question that contains two (or more) variables within it. It essentially tries to ask two questions at the same time. An example of this is

“ Do you enjoy eating peanut butter and cheese on bread?”

As you can see, this question makes it unclear whether you are being asked about whether they like eating the two together on bread, or whether they like eating one at a time. This is problematic, as there are multiple ways to interpret this question, which means that the resultant data will be unusable. 

A vague question , as the name suggests, is one where it is unclear what is being asked or one that is very open-ended . Of course, sometimes you do indeed want open questions, as they can provide richer information from respondents. However, if you ask a vague question, you’ll likely get a vague answer. So, you need to be careful. Consider the following fairly vague question:

“What was your experience at this restaurant?”. 

A respondent could answer this question by just saying “good” or “bad” – or nothing at all. This isn’t particularly helpful. Alternatively, someone might respond extensively about something unrelated to the question. If you want to ask open-ended questions, interviewing may be a better (or additional) data method to consider, so give some thought to what you’re trying to achieve. Only use open-ended questions in a survey if they’re central to your research aims . 

To make sure that your questions don’t fall into one of these problematic categories, it’s important to keep your golden thread (i.e., your research aims, objectives and research questions ) in mind and consider the type of data you want to generate. Also, it’s always a good idea to make use of a pilot study to test your survey questions and responses to see whether any questions are problematic and whether the data generated is useful.

Mistake #3: Using inappropriate response types

When designing your survey, it’s essential to choose the best-suited response type/format for each question. In other words, you need to consider how the respondents will input their responses into your survey. Broadly speaking, there are three response types .

The first response type is categorical.  

These are questions where the respondent will choose one of the pre-determined options that you provide, for example: yes/no, gender, ethnicity, etc.

For categorical responses, there will be a limited number of choices and respondents will only be able to pick one. This is useful for basic demographic data where all potential responses can be easily grouped into categories. 

The second response type is scales . 

Scales offer respondents the opportunity to express their opinion on a spectrum . For example, you could design a 3-point scale with the options of agree, neutral and disagree. Scales are useful when you’re trying to assess the extent to which respondents agree with specific statements or claims. This data can then be statistically analysed in powerful ways. 

Scales can, however, be problematic if they have too many or too few points . For example, if you only have “strongly agree”, “neutral” and “strongly disagree”, your respondent might resort to selecting “neutral” because they don’t feel strongly about the subject. Conversely, if there are too many points on the scale, your respondents might take too much time to complete the survey and become frustrated in the process of agonising over what exactly they feel. 

The third response type is the free form text box (open-ended response). 

We mentioned open-ended questions earlier and looked at some of the ways in which they can be problematic. But, because free-form responses are useful for understanding nuances and finer details, this response type does have its benefits. For example, some respondents might have a problem with how the other questions in your survey are presented or asked, and therefore an open-ended response option gives them an opportunity to respond in a way that reflects their true feelings. 

As you can see, it’s important to carefully consider which response types you use, as each one has its own purpose, pros and cons . Make sure that each response option is appropriate for the type of question and generates data that you will be able to analyse in a meaningful way.

It’s also good to keep in mind that you as the researcher will need to process all the data generated by the survey. Therefore, you need to consider how you will analyse the data from each response type. Use the response type that makes sense for the specific question and keep the analysis aspect in mind when choosing your response types.

Mistake #4: Using poorly design scales/measures

We’ve spoken about the design of the survey as a whole, but it’s also important to think carefully about the design of individual measures/scales. Theoretical constructs are typically measured using Likert scales. To measure these constructs effectively, you’ll need to ensure that your scales produce valid and reliable data.

Validity refers to whether the scale measures what you’re trying to measure . This might sound like a no-brainer, but oftentimes people can interpret questions or statements in diverse ways. Therefore, it’s important to think of whether the interpretations of the responses to each measure are sound relative to the original construct you are measuring and the existing literature relating to it.

Reliability, on the other hand, is related to whether multiple scales measuring the same construct get the same response (on average, of course). In other words, if you have three scales measuring employee satisfaction, they should correlate, as they all measure the same construct. A good survey should make use of multiple scales to measure any given construct, and these should “move” together – in other words, be “reliable”.

If you’re designing a survey, you’ll need to demonstrate the validity and reliability of your measures. This can be done in several ways, using both statistical and non-statistical techniques. We won’t get into detail about those here, but it’s important to remember that validity and reliability are central to making sure that your survey is measuring what it is meant to measure.

Importantly, when thinking about the scales for your survey, you don’t need to reinvent the wheel. There are pre-developed and tested scales available for most areas of research, and it’s preferable to use a “tried and tested” scale, rather than developing one from scratch. If there isn’t already something that fits your research, you can often modify existing scales to suit your specific needs.

Mistake #5: Not designing with analysis in mind

Naturally, you’ll want to use the data gathered from your survey as effectively as possible. Therefore, it’s always a good idea to start with the end (i.e., the analysis phase) in mind when designing your survey. The analysis methods that you’ll be able to use in your study will be dictated by the design of the survey, as it will produce certain types of data. Therefore, it’s essential that you design your survey in a way that will allow you to undertake the analyses you need to achieve your research aims. 

Importantly, you should have a clear idea of what statistical methods you plan to use before you start designing your survey. Be clear about which specific descriptive and inferential tests you plan to do (and why). Make sure that you understand the assumptions of all the statistical tests you’ll be using and the type of data (i.e., nominal, ordinal, interval, or ratio ) that each test requires. Only once you have that level of clarity can you get started designing your survey. 

Finally, and as we’ve emphasized before, it’s essential that you keep your study’s golden thread front of mind during the design process. If your analysis methods don’t aid you in answering your research questions, they’ll be largely useless. So, keep the big picture and the end goal front of mind from the outset.

Recap: Survey Design Mistakes

In this post we’ve discussed some important aspects of survey design and five common mistakes to avoid while designing your own survey. To recap, these include:

If you have any questions about these survey design mistakes, drop a comment below. Alternatively, if you’re interested in getting  1-on-1 help with your research , check out our dissertation coaching service or book a free initial consultation with a friendly coach.

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Qualitative study design: Surveys & questionnaires

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Surveys & questionnaires

Qualitative surveys use open-ended questions to produce long-form written/typed answers. Questions will aim to reveal opinions, experiences, narratives or accounts. Often a useful precursor to interviews or focus groups as they help identify initial themes or issues to then explore further in the research. Surveys can be used iteratively, being changed and modified over the course of the research to elicit new information. 

Structured Interviews may follow a similar form of open questioning.  

Qualitative surveys frequently include quantitative questions to establish elements such as age, nationality etc. 

Qualitative surveys aim to elicit a detailed response to an open-ended topic question in the participant’s own words.  Like quantitative surveys, there are three main methods for using qualitative surveys including face to face surveys, phone surveys, and online surveys. Each method of surveying has strengths and limitations.

Face to face surveys  

• Researcher asks participants one or more open-ended questions about a topic, typically while in view of the participant’s facial expressions and other behaviours while answering. Being able to view the respondent’s reactions enables the researcher to ask follow-up questions to elicit a more detailed response, and to follow up on any facial or behavioural cues that seem at odds with what the participants is explicitly saying.
• Face to face qualitative survey responses are likely to be audio recorded and transcribed into text to ensure all detail is captured; however, some surveys may include both quantitative and qualitative questions using a structured or semi-structured format of questioning, and in this case the researcher may simply write down key points from the participant’s response.

Telephone surveys

• Similar to the face to face method, but without researcher being able to see participant’s facial or behavioural responses to questions asked. This means the researcher may miss key cues that would help them ask further questions to clarify or extend participant responses to their questions, and instead relies on vocal cues.

Online surveys

• Open-ended questions are presented to participants in written format via email or within an online survey tool, often alongside quantitative survey questions on the same topic.
• Researchers may provide some contextualising information or key definitions to help ‘frame’ how participants view the qualitative survey questions, since they can’t directly ask the researcher about it in real time. 
• Participants are requested to responses to questions in text ‘in some detail’ to explain their perspective or experience to researchers; this can result in diversity of responses (brief to detailed).
• Researchers can not always probe or clarify participant responses to online qualitative survey questions which can result in data from these responses being cryptic or vague to the researcher.
• Online surveys can collect a greater number of responses in a set period of time compared to face to face and phone survey approaches, so while data may be less detailed, there is more of it overall to compensate.

Qualitative surveys can help a study early on, in finding out the issues/needs/experiences to be explored further in an interview or focus group. 

Surveys can be amended and re-run based on responses providing an evolving and responsive method of research. 

Online surveys will receive typed responses reducing translation by the researcher 

Online surveys can be delivered broadly across a wide population with asynchronous delivery/response. 

Limitations

Hand-written notes will need to be transcribed (time-consuming) for digital study and kept physically for reference. 

Distance (or online) communication can be open to misinterpretations that cannot be corrected at the time. 

Questions can be leading/misleading, eliciting answers that are not core to the research subject. Researchers must aim to write a neutral question which does not give away the researchers expectations. 

Even with transcribed/digital responses analysis can be long and detailed, though not as much as in an interview. 

Surveys may be left incomplete if performed online or taken by research assistants not well trained in giving the survey/structured interview. 

Narrow sampling may skew the results of the survey. 

Example questions

Here are some example survey questions which are open ended and require a long form written response:

• Tell us why you became a doctor? 
• What do you expect from this health service? 
• How do you explain the low levels of financial investment in mental health services? (WHO, 2007) 

Example studies

• Davey, L. , Clarke, V. and Jenkinson, E. (2019), Living with alopecia areata: an online qualitative survey study. British Journal of Dermatology, 180 1377-1389. Retrieved from https://onlinelibrary-wiley-com.ezproxy-f.deakin.edu.au/doi/10.1111%2Fbjd.17463    
• Richardson, J. (2004). What Patients Expect From Complementary Therapy: A Qualitative Study. American Journal of Public Health, 94(6), 1049–1053. Retrieved from http://ezproxy.deakin.edu.au/login?url=http://search.ebscohost.com/login.aspx?direct=true&db=s3h&AN=13270563&site=eds-live&scope=site  
• Saraceno, B., van Ommeren, M., Batniji, R., Cohen, A., Gureje, O., Mahoney, J., ... & Underhill, C. (2007). Barriers to improvement of mental health services in low-income and middle-income countries. The Lancet, 370(9593), 1164-1174. Retrieved from https://www-sciencedirect-com.ezproxy-f.deakin.edu.au/science/article/pii/S014067360761263X?via%3Dihub  

Below has more detail of the Lancet article including actual survey questions at: 

• World Health Organization. (2007.) Expert opinion on barriers and facilitating factors for the implementation of existing mental health knowledge in mental health services. Geneva: World Health Organization. https://apps.who.int/iris/handle/10665/44808
• Green, J. 1961-author., & Thorogood, N. (2018). Qualitative methods for health research. SAGE. Retrieved from http://ezproxy.deakin.edu.au/login?url=http://search.ebscohost.com/login.aspx?direct=true&db=cat00097a&AN=deakin.b4151167&authtype=sso&custid=deakin&site=eds-live&scope=site   
• JANSEN, H. The Logic of Qualitative Survey Research and its Position in the Field of Social Research Methods. Forum Qualitative Sozialforschung, 11(2), Retrieved from http://www.qualitative-research.net/index.php/fqs/article/view/1450/2946  
• Neilsen Norman Group, (2019). 28 Tips for Creating Great Qualitative Surveys. Retrieved from https://www.nngroup.com/articles/qualitative-surveys/     
• << Previous: Documents
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• Last Updated: Jul 3, 2024 11:46 AM
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Think Postgrad

Find out how to use a dissertation questionnaire for your masters.

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 work with relatively small-scale research projects so design and deliver research questionnaires quickly and cheaply. When it comes to conducting research for a master’s dissertation, questionnaire surveys feature prominently as the method of choice.

Using the post for bulky and lengthy surveys is normal. Sometimes questionnaires go by hand. The popularity of questionnaire surveys is principally due to the benefits of using online web-based questionnaires. There are two main aspects to this.

Designing questionnaires

First, the software for producing and delivering web questionnaires. Simple to use 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. Given the time and resource constraints faced when producing a dissertation, makes online surveys all the more enticing. Social media such as Facebook, Instagram and WhatsApp is great 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. This is the basis for advanced, master’s level academic enquiry.

Pro's and con's

It is not good enough to simply rely on getting 100 or so people to complete your questionnaire. Be aware of the pros and cons of questionnaire surveys. You need to justify the value of the data you 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 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 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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Home » Thesis Format – Templates and Samples

Thesis Format – Templates and Samples

Table of contents.

Thesis Format

Thesis format refers to the structure and layout of a research thesis or dissertation. It typically includes several chapters, each of which focuses on a particular aspect of the research topic .

The exact format of a thesis can vary depending on the academic discipline and the institution, but some common elements include:

Introduction

Literature review, methodology.

The title page is the first page of a thesis that provides essential information about the document, such as the title, author’s name, degree program, university, and the date of submission. It is considered as an important component of a thesis as it gives the reader an initial impression of the document’s content and quality.

The typical contents of a title page in a thesis include:

• The title of the thesis: It should be concise, informative, and accurately represent the main topic of the research.
• Author’s name: This should be written in full and should be the same as it appears on official university records.
• Degree program and department: This should specify the type of degree (e.g., Bachelor’s, Master’s, or Doctoral) and the field of study (e.g., Computer Science, Psychology, etc.).
• University: The name of the university where the thesis is being submitted.
• Date of submission : The month and year of submission of the thesis.
• Other details that can be included on the title page include the name of the advisor, the name of the committee members, and any acknowledgments.

In terms of formatting, the title page should be centered horizontally and vertically on the page, with a consistent font size and style. The page margin for the title page should be at least 1 inch (2.54 cm) on all sides. Additionally, it is common practice to include the university logo or crest on the title page, and this should be placed appropriately.

Title of the Thesis in Title Case by Author’s Full Name in Title Case

A thesis submitted in partial fulfillment of the requirements for the degree of Master of Science in Department Name at the University Name

Month Year of Submission

An abstract is a brief summary of a thesis or research paper that provides an overview of the main points, methodology, and findings of the study. It is typically placed at the beginning of the document, after the title page and before the introduction.

The purpose of an abstract is to provide readers with a quick and concise overview of the research paper or thesis. It should be written in a clear and concise language, and should not contain any jargon or technical terms that are not easily understood by the general public.

Here’s an example of an abstract for a thesis:

Title: The Impact of Social Media on Mental Health among Adolescents

This study examines the impact of social media on mental health among adolescents. The research utilized a survey methodology and collected data from a sample of 500 adolescents aged between 13 and 18 years. The findings reveal that social media has a significant impact on mental health among adolescents, with frequent use of social media associated with higher levels of anxiety, depression, and low self-esteem. The study concludes that there is a need for increased awareness and education on the risks associated with excessive use of social media, and recommends strategies for promoting healthy social media habits among adolescents.

In this example, the abstract provides a concise summary of the thesis by highlighting the main points, methodology, and findings of the study. It also provides a clear indication of the significance of the study and its implications for future research and practice.

A table of contents is an essential part of a thesis as it provides the reader with an overview of the entire document’s structure and organization.

Here’s an example of how a table of contents might look in a thesis:

TABLE OF CONTENTS

I. INTRODUCTION ……………………………………………………..1

A. Background of the Study………………………………………..1

B. Statement of the Problem……………………………………….2

C. Objectives of the Study………………………………………..3

D. Research Questions…………………………………………….4

E. Significance of the Study………………………………………5

F. Scope and Limitations………………………………………….6

G. Definition of Terms……………………………………………7

II. LITERATURE REVIEW. ………………………………………………8

A. Overview of the Literature……………………………………..8

B. Key Themes and Concepts………………………………………..9

C. Gaps in the Literature………………………………………..10

D. Theoretical Framework………………………………………….11

III. METHODOLOGY ……………………………………………………12

A. Research Design………………………………………………12

B. Participants and Sampling……………………………………..13

C. Data Collection Procedures…………………………………….14

D. Data Analysis Procedures………………………………………15

IV. RESULTS …………………………………………………………16

A. Descriptive Statistics…………………………………………16

B. Inferential Statistics…………………………………………17

V. DISCUSSION ………………………………………………………18

A. Interpretation of Results………………………………………18

B. Discussion of Finding s …………………………………………19

C. Implications of the Study………………………………………20

VI. CONCLUSION ………………………………………………………21

A. Summary of the Study…………………………………………..21

B. Limitations of the Study……………………………………….22

C. Recommendations for Future Research……………………………..23

REFERENCES …………………………………………………………….24

APPENDICES …………………………………………………………….26

As you can see, the table of contents is organized by chapters and sections. Each chapter and section is listed with its corresponding page number, making it easy for the reader to navigate the thesis.

The introduction is a critical part of a thesis as it provides an overview of the research problem, sets the context for the study, and outlines the research objectives and questions. The introduction is typically the first chapter of a thesis and serves as a roadmap for the reader.

Here’s an example of how an introduction in a thesis might look:

Introduction:

The prevalence of obesity has increased rapidly in recent decades, with more than one-third of adults in the United States being classified as obese. Obesity is associated with numerous adverse health outcomes, including cardiovascular disease, diabetes, and certain cancers. Despite significant efforts to address this issue, the rates of obesity continue to rise. The purpose of this study is to investigate the relationship between lifestyle behaviors and obesity in young adults.

The study will be conducted using a mixed-methods approach, with both qualitative and quantitative data collection methods. The research objectives are to:

• Examine the relationship between lifestyle behaviors and obesity in young adults.
• Identify the key lifestyle factors that contribute to obesity in young adults.
• Evaluate the effectiveness of current interventions aimed at preventing and reducing obesity in young adults.

The research questions that will guide this study are:

• What is the relationship between lifestyle behaviors and obesity in young adults?
• Which lifestyle factors are most strongly associated with obesity in young adults?
• How effective are current interventions aimed at preventing and reducing obesity in young adults?

By addressing these research questions, this study aims to contribute to the understanding of the factors that contribute to obesity in young adults and to inform the development of effective interventions to prevent and reduce obesity in this population.

A literature review is a critical analysis and evaluation of existing literature on a specific topic or research question. It is an essential part of any thesis, as it provides a comprehensive overview of the existing research on the topic and helps to establish the theoretical framework for the study. The literature review allows the researcher to identify gaps in the current research, highlight areas that need further exploration, and demonstrate the importance of their research question.

April 9, 2023:

A search on Google Scholar for “Effectiveness of Online Learning during the COVID-19 Pandemic” yielded 1,540 results. Upon reviewing the first few pages of results, it is evident that there is a significant amount of literature on the topic. A majority of the studies focus on the experiences and perspectives of students and educators during the transition to online learning due to the pandemic.

One recent study published in the Journal of Educational Technology & Society (Liu et al., 2023) found that students who were already familiar with online learning tools and platforms had an easier time adapting to online learning than those who were not. However, the study also found that students who were not familiar with online learning tools were able to adapt with proper support from their teachers and institutions.

Another study published in Computers & Education (Tang et al., 2023) compared the academic performance of students in online and traditional classroom settings during the pandemic. The study found that while there were no significant differences in the grades of students in the two settings, students in online classes reported higher levels of stress and lower levels of satisfaction with their learning experience.

Methodology in a thesis refers to the overall approach and systematic process that a researcher follows to collect and analyze data in order to answer their research question(s) or achieve their research objectives. It includes the research design, data collection methods, sampling techniques, data analysis procedures, and any other relevant procedures that the researcher uses to conduct their research.

For example, let’s consider a thesis on the impact of social media on mental health among teenagers. The methodology for this thesis might involve the following steps:

Research Design:

The researcher may choose to conduct a quantitative study using a survey questionnaire to collect data on social media usage and mental health among teenagers. Alternatively, they may conduct a qualitative study using focus group discussions or interviews to gain a deeper understanding of the experiences and perspectives of teenagers regarding social media and mental health.

Sampling Techniques:

The researcher may use random sampling to select a representative sample of teenagers from a specific geographic location or demographic group, or they may use purposive sampling to select participants who meet specific criteria such as age, gender, or mental health status.

Data Collection Methods:

The researcher may use an online survey tool to collect data on social media usage and mental health, or they may conduct face-to-face interviews or focus group discussions to gather qualitative data. They may also use existing data sources such as medical records or social media posts.

Data Analysis Procedures:

The researcher may use statistical analysis techniques such as regression analysis to examine the relationship between social media usage and mental health, or they may use thematic analysis to identify key themes and patterns in the qualitative data.

Ethical Considerations: The researcher must ensure that their research is conducted in an ethical manner, which may involve obtaining informed consent from participants, protecting their confidentiality, and ensuring that their rights and welfare are respected.

In a thesis, the “Results” section typically presents the findings of the research conducted by the author. This section typically includes both quantitative and qualitative data, such as statistical analyses, tables, figures, and other relevant data.

Here are some examples of how the “Results” section of a thesis might look:

Example 1: A quantitative study on the effects of exercise on cardiovascular health

In this study, the author conducts a randomized controlled trial to investigate the effects of exercise on cardiovascular health in a group of sedentary adults. The “Results” section might include tables showing the changes in blood pressure, cholesterol levels, and other relevant indicators in the exercise and control groups over the course of the study. The section might also include statistical analyses, such as t-tests or ANOVA, to demonstrate the significance of the results.

Example 2: A qualitative study on the experiences of immigrant families in a new country

In this study, the author conducts in-depth interviews with immigrant families to explore their experiences of adapting to a new country. The “Results” section might include quotes from the interviews that illustrate the participants’ experiences, as well as a thematic analysis that identifies common themes and patterns in the data. The section might also include a discussion of the implications of the findings for policy and practice.

A thesis discussion section is an opportunity for the author to present their interpretation and analysis of the research results. In this section, the author can provide their opinion on the findings, compare them with other literature, and suggest future research directions.

For example, let’s say the thesis topic is about the impact of social media on mental health. The author has conducted a survey among 500 individuals and has found that there is a significant correlation between excessive social media use and poor mental health.

In the discussion section, the author can start by summarizing the main findings and stating their interpretation of the results. For instance, the author may argue that excessive social media use is likely to cause mental health problems due to the pressure of constantly comparing oneself to others, fear of missing out, and cyberbullying.

Next, the author can compare their results with other studies and point out similarities and differences. They can also identify any limitations in their research design and suggest future directions for research.

For example, the author may point out that their study only measured social media use and mental health at one point in time, and it is unclear whether one caused the other or whether there are other confounding factors. Therefore, they may suggest longitudinal studies that follow individuals over time to better understand the causal relationship.

Writing a conclusion for a thesis is an essential part of the overall writing process. The conclusion should summarize the main points of the thesis and provide a sense of closure to the reader. It is also an opportunity to reflect on the research process and offer suggestions for further study.

Here is an example of a conclusion for a thesis:

After an extensive analysis of the data collected, it is evident that the implementation of a new curriculum has had a significant impact on student achievement. The findings suggest that the new curriculum has improved student performance in all subject areas, and this improvement is particularly notable in math and science. The results of this study provide empirical evidence to support the notion that curriculum reform can positively impact student learning outcomes.

In addition to the positive results, this study has also identified areas for future research. One limitation of the current study is that it only examines the short-term effects of the new curriculum. Future studies should explore the long-term effects of the new curriculum on student performance, as well as investigate the impact of the curriculum on students with different learning styles and abilities.

Overall, the findings of this study have important implications for educators and policymakers who are interested in improving student outcomes. The results of this study suggest that the implementation of a new curriculum can have a positive impact on student achievement, and it is recommended that schools and districts consider curriculum reform as a means of improving student learning outcomes.

References in a thesis typically follow a specific format depending on the citation style required by your academic institution or publisher.

Below are some examples of different citation styles and how to reference different types of sources in your thesis:

In-text citation format: (Author, Year)

Reference list format for a book: Author, A. A. (Year of publication). Title of work: Capital letter also for subtitle. Publisher.

Example: In-text citation: (Smith, 2010) Reference list entry: Smith, J. D. (2010). The art of writing a thesis. Cambridge University Press.

Reference list format for a journal article: Author, A. A., Author, B. B., & Author, C. C. (Year of publication). Title of article. Title of Journal, volume number(issue number), page range.

Example: In-text citation: (Brown, 2015) Reference list entry: Brown, E., Smith, J., & Johnson, L. (2015). The impact of social media on academic performance. Journal of Educational Psychology, 108(3), 393-407.

In-text citation format: (Author page number)

Works Cited list format for a book: Author. Title of Book. Publisher, Year of publication.

Example: In-text citation: (Smith 75) Works Cited entry: Smith, John D. The Art of Writing a Thesis. Cambridge University Press, 2010.

Works Cited list format for a journal article: Author(s). “Title of Article.” Title of Journal, volume number, issue number, date, pages.

Example: In-text citation: (Brown 394) Works Cited entry: Brown, Elizabeth, et al. “The Impact of Social Media on Academic Performance.” Journal of Educational Psychology, vol. 108, no. 3, 2015, pp. 393-407.

Chicago Style

In-text citation format: (Author year, page number)

Bibliography list format for a book: Author. Title of Book. Place of publication: Publisher, Year of publication.

Example: In-text citation: (Smith 2010, 75) Bibliography entry: Smith, John D. The Art of Writing a Thesis. Cambridge: Cambridge University Press, 2010.

Bibliography list format for a journal article: Author. “Title of Article.” Title of Journal volume number, no. issue number (date): page numbers.

Example: In-text citation: (Brown 2015, 394) Bibliography entry: Brown, Elizabeth, John Smith, and Laura Johnson. “The Impact of Social Media on Academic Performance.” Journal of Educational Psychology 108, no. 3 (2015): 393-407.

Reference list format for a book: [1] A. A. Author, Title of Book. City of Publisher, Abbrev. of State: Publisher, year.

Example: In-text citation: [1] Reference list entry: A. J. Smith, The Art of Writing a Thesis. New York, NY: Academic Press, 2010.

Reference list format for a journal article: [1] A. A. Author, “Title of Article,” Title of Journal, vol. x, no. x, pp. xxx-xxx, Month year.

Example: In-text citation: [1] Reference list entry: E. Brown, J. D. Smith, and L. Johnson, “The Impact of Social Media on Academic Performance,” Journal of Educational Psychology, vol. 108, no. 3, pp. 393-407, Mar. 2015.

An appendix in a thesis is a section that contains additional information that is not included in the main body of the document but is still relevant to the topic being discussed. It can include figures, tables, graphs, data sets, sample questionnaires, or any other supplementary material that supports your thesis.

Here is an example of how you can format appendices in your thesis:

• Title page: The appendix should have a separate title page that lists the title, author’s name, the date, and the document type (i.e., thesis or dissertation). The title page should be numbered as the first page of the appendix section.
• Table of contents: If you have more than one appendix, you should include a separate table of contents that lists each appendix and its page number. The table of contents should come after the title page.
• Appendix sections: Each appendix should have its own section with a clear and concise title that describes the contents of the appendix. Each section should be numbered with Arabic numerals (e.g., Appendix 1, Appendix 2, etc.). The sections should be listed in the table of contents.
• Formatting: The formatting of the appendices should be consistent with the rest of the thesis. This includes font size, font style, line spacing, and margins.
• Example: Here is an example of what an appendix might look like in a thesis on the topic of climate change:

Appendix 1: Data Sources

This appendix includes a list of the primary data sources used in this thesis, including their URLs and a brief description of the data they provide.

Appendix 2: Survey Questionnaire

This appendix includes the survey questionnaire used to collect data from participants in the study.

Appendix 3: Additional Figures

This appendix includes additional figures that were not included in the main body of the thesis due to space limitations. These figures provide additional support for the findings presented in the thesis.

About the author

Muhammad Hassan

Researcher, Academic Writer, Web developer

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21 Questionnaire Templates: Examples and Samples

Questionnaire: Definition

A questionnaire is defined a market research instrument that consists of questions or prompts to elicit and collect responses from a sample of respondents. A questionnaire is typically a mix of open-ended questions and close-ended questions ; the latter allowing for respondents to enlist their views in detail.

A questionnaire can be used in both, qualitative market research as well as quantitative market research with the use of different types of questions .

LEARN ABOUT: Open-Ended Questions

Types of Questionnaires

We have learnt that a questionnaire could either be structured or free-flow. To explain this better:

• Structured Questionnaires: A structured questionnaires helps collect quantitative data . In this case, the questionnaire is designed in a way that it collects very specific type of information. It can be used to initiate a formal enquiry on collect data to prove or disprove a prior hypothesis.
• Unstructured Questionnaires: An unstructured questionnaire collects qualitative data . The questionnaire in this case has a basic structure and some branching questions but nothing that limits the responses of a respondent. The questions are more open-ended.

LEARN ABOUT:   Structured Question

Types of Questions used in a Questionnaire

A questionnaire can consist of many types of questions . Some of the commonly and widely used question types though, are:

• Open-Ended Questions: One of the commonly used question type in questionnaire is an open-ended question . These questions help collect in-depth data from a respondent as there is a huge scope to respond in detail.
• Dichotomous Questions: The dichotomous question is a “yes/no” close-ended question . This question is generally used in case of the need of basic validation. It is the easiest question type in a questionnaire.
• Multiple-Choice Questions: An easy to administer and respond to, question type in a questionnaire is the multiple-choice question . These questions are close-ended questions with either a single select multiple choice question or a multiple select multiple choice question. Each multiple choice question consists of an incomplete stem (question), right answer or answers, close alternatives, distractors and incorrect answers. Depending on the objective of the research, a mix of the above option types can be used.
• Net Promoter Score (NPS) Question: Another commonly used question type in a questionnaire is the Net Promoter Score (NPS) Question where one single question collects data on the referencability of the research topic in question.
• Scaling Questions: Scaling questions are widely used in a questionnaire as they make responding to the questionnaire, very easy. These questions are based on the principles of the 4 measurement scales – nominal, ordinal, interval and ratio .

Questionnaires help enterprises collect valuable data to help them make well-informed business decisions. There are powerful tools available in the market that allows using multiple question types, ready to use survey format templates, robust analytics, and many more features to conduct comprehensive market research.

LEARN ABOUT: course evaluation survey examples

For example, an enterprise wants to conduct market research to understand what pricing would be best for their new product to capture a higher market share. In such a case, a questionnaire for competitor analysis can be sent to the targeted audience using a powerful market research survey software which can help the enterprise conduct 360 market research that will enable them to make strategic business decisions.

Now that we have learned what a questionnaire is and its use in market research , some examples and samples of widely used questionnaire templates on the QuestionPro platform are as below:

LEARN ABOUT: Speaker evaluation form

Customer Questionnaire Templates: Examples and Samples

QuestionPro specializes in end-to-end Customer Questionnaire Templates that can be used to evaluate a customer journey right from indulging with a brand to the continued use and referenceability of the brand. These templates form excellent samples to form your own questionnaire and begin testing your customer satisfaction and experience based on customer feedback.

LEARN ABOUT: Structured Questionnaire

USE THIS FREE TEMPLATE

Employee & Human Resource (HR) Questionnaire Templates: Examples and Samples

QuestionPro has built a huge repository of employee questionnaires and HR questionnaires that can be readily deployed to collect feedback from the workforce on an organization on multiple parameters like employee satisfaction, benefits evaluation, manager evaluation , exit formalities etc. These templates provide a holistic overview of collecting actionable data from employees.

Community Questionnaire Templates: Examples and Samples

The QuestionPro repository of community questionnaires helps collect varied data on all community aspects. This template library includes popular questionnaires such as community service, demographic questionnaires, psychographic questionnaires, personal questionnaires and much more.

Academic Evaluation Questionnaire Templates: Examples and Samples

Another vastly used section of QuestionPro questionnaire templates are the academic evaluation questionnaires . These questionnaires are crafted to collect in-depth data about academic institutions and the quality of teaching provided, extra-curricular activities etc and also feedback about other educational activities.

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Surveys for Master and Bachelor Degree Thesis

This template will help you get information on how parents can provide support for their children’s educational development.

Try Other Survey Templets for Education

Qualitative or quantitative research is an important and sometimes even necessary element of a master’s or bachelor’s thesis. Startquestion allows you to create student surveys on any topic without limiting the number of questions. The questionnaire can be shared via a link or sent directly to the indicated e-mail address. The tool also allows you to end the survey after reaching the specified response limit.

Each student can automatically generate a report containing charts and data summaries on his personal account on the platform. The ability to download it in DOC or PDF format allows direct pasting to the content of the work.

An example of a survey template for a thesis is presented below, including an introduction informing about the purpose of the study, sample types of questions, a certificate, and a thank you note.

Do you want to know specific examples of surveys for your master’s thesis? See sample surveys for students and research reports for diploma theses created on Startquestion.

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The key to the success of the Voice of Customer project is integrating the client’s internal systems with the online research software. The first experience with this survey software was so encouraging that Medicover Poland decided to transfer all the conducted research to the Startquestion platform.

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Questionnaire Templates

30+ questionnaire templates (word).

If you’re looking to gain insights on your audience or customers, a questionnaire or social survey is a reliable method used to collect standardized data from large numbers of people. (All of the information is collected in the exact same way. Questionnaires are often used by the government to find out more information about geographic areas, the lifestyles of its citizens, and assess which programs get funded . Many government entities rely on questionnaires to run programs or fund certain initiatives. This is because surveys are a favorite way to collect data in a statistical form.

Table of Contents

• 1 Questionnaire Templates
• 2.1 What Kinds of Surveys Work Best?
• 3.1 Choosing Your Template By The Questions Your Survey Asks
• 3.2 Choosing Your Questions Carefully
• 4.1 Getting the Answers and Responses You Need For Your Research
• 4.2 Why Are Questionnaires Better than Focus Groups?
• 4.3 What Factors Affect The Response Rate of Your Questionnaires?
• 4.4 Get the Most Out Of Your Questionnaire and Survey Templates

A questionnaire is a powerful tool that provides the important function of eliciting the feelings, beliefs, perceptions, or attitudes of a group of individuals. In other words, to collect valuable and previously unknown data.

The questionnaire is most frequently a very concise, preplanned set of questions designed to yield specific information to meet a particular need for research information about a pertinent topic. The research information is attained from respondents normally from a related interest area. The dictionary definition gives a clearer definition: A questionnaire is a written or printed form used in gathering information on some subject or subjects consisting of a list of questions to be submitted to one or more persons.

How Do Businesses Use Questionnaires and Surveys?

Using a questionnaire to find out more about your customers or other stakeholders, as a business or organization, is essential to adequate audience research. You can use this information to get to know your audience better, plan communication with them, and even orchestrate campaigns tailored to the ideas you’ve surveyed them about.

How do you put this into practice, anyway? Well, let’s say, for example, Ted is a small business owner that sells upscale, designed umbrellas on his website. He has a few colorful designs, but he want to raise he prices in order to carry more choices of designer umbrellas. He also wants to sell a raincoat line and Tom wonders if his target customers will think it’s all too fancy.

In order to put his “feelers” out, Tom decides to incentivize a survey on his website asking questions from people who have previously purchased from him. All of the survey respondents will be entered into a raffle worth $100 on his website. Because of this, he gets over 200 responses. He’s able to ask the questions he needs about the potential product line he wants to add. When the response is overwhelmingly positive, he knows that the quantitative data he acquires is worth the wait.

Are you ready to get started? We have several Excel questionnaire templates available for download on this page as well as questionnaire templates for Word. They’re free to help you get started.

Or, alternatively, keep reading to learn more about how to put these templates to best use.

What Kinds of Surveys Work Best?

If you want to gather unique and powerful information about an audience, a survey can help you tailor your questions and gauge their reactions accordingly. The kind of information you are seeking will help you determine the type of surveys you want to put into motion.

Basically, there are three types of surveys that are used for research purposes. There are factual surveys, which are used to collect descriptive information, such as demographic information that is used by the government to collect data. Attitude surveys, often called opinion polls, attempt to collect and measure people’s attitudes and opinions.  Explanatory surveys go a step further in seeking out opinions. They’re designed to test theories and hypothesis as well as form new theories.

Essentially, the type of survey or questionnaire you choose will be tailored to your project. If you’re looking to capture the attitudes of young voters across America, then you may want to offer multiple-choice questions to allow them to explain their levels of interest and involvement in certain issues.

Researchers usually use questionnaires to make data-driven generalizations about attitudes, opinions, and behaviors. Because of this, you must be very careful when choosing whom you will be surveying, such as your customers or donors. These carefully selected samples should reflect the diversity of your base in order to be as accurate as possible. In fact, most often, a survey therefore, the surveys are usually based on carefully selected samples.  

There are also many types of questionnaire templates for Excel and Word that may fit your purposes. We have several templates available for free download on this page.  

 Questionnaire Examples 

Choosing Your Template By The Questions Your Survey Asks

If you’re getting ready to design a questionnaire, you will want to know some of the basics about survey design. The type of questions you will be asking your participants will decide the design of your survey and questionnaires, in part. Keep in mind that a neat, clean document design is also important for practical purposes; after all, a disorganized survey can be a pain for both the participants as well as the researcher.

There are basically two kinds of questionnaires that are used by researchers. Closed or restricted form surveys, which simply ask  “yes” or “no” answers, or multiple choice-type questions, are known for being fairly easy to interpret and summarize. The second type of questionnaire, called an open or unrestricted survey, allows respondents to answer freely as they see fit. While these types of surveys are great for learning in-depth about the users and their thoughts, they can also be difficult to interpret and summarize.    

Restricted surveys will work great with our Excel Questionnaire templates, while you may choose a Microsoft Word questionnaire template to ask users open-ended questions.

Choosing Your Questions Carefully

A questionnaire template is only as good as the questions you are asking. Sometimes a survey will include what is essentially a “loaded question”, meant to skew the results one way or another. This is often used by biased news sources or politicians who want to portray a public opinion that aligns with their views. This is great for propaganda purposes, but for actual, scientifically sound research on opinions, you’ll want to use questions that can be answered in a way that will truly reflect the views of your respondents.

When writing out the questions you will ask, keep the following questions in mind for yourself:

• Is each question you’re asking truly necessary?
• How will the answers to the questions be used?
• How will the answers to your questionnaire be analyzed, and interpreted?
• How many questions are truly needed? (Anything over 10 may have a high drop-out rate)
• Do questionnaire respondents have the information/experience necessary to answer your questions?
• Is the question written in a clear way, with no bias or emotional overtones?
• Will the survey respondents feel comfortable answering the question honestly?
• Could the wording of the question possibly offend or put-off respondents?
• Are you going to ask direct or indirect questions?
• If a checklist is used , do you have a wide range of answers to choose from? Or are you forcing opinions on somebody?
• Is the answer to any of your questions likely to be influenced by prior questions you’ve asked? (If so, you may want to change the order up to keep participants from drawing conclusion.)

Your questionnaires should all be exactly alike, unless you’re testing the survey itself to see which one gets the most responses. Questionnaires used on a template should consist of the same set of questions, asked in the same order every time.

Questionnaire Samples

Getting the Answers and Responses You Need For Your Research

When conducting research, you can either have the participants fill out the surveys themselves, or you can have researchers interview participants over the phone or face-to-face.

If you’re having your respondents fill out the questionnaire, you may want to incentivize filling it out and returning it. Consider giving a coupon reward or holding a raffle for a gift certificate . Each person who returns their form by a certain date will get a chance at these rewards. Also consider which mode of deliver you find most useful.

Postal questionnaires can be used, but you’ll want to make sure you can count on the group returning their answers and to the researcher by a specified time and date. Telephone questionnaires can be set up to robocall, but most people find them annoying so they tend to be ineffective. You could also use your printed questionnaire to administer the questions to a group. For example, you may want to survey members of a certain club or organization. If you choose this option, be aware that groups tend to hold a bias when they fill out questionnaires in the same room together and tend to also have trouble concentrating on the task at hand when in the presence of their social circle.

Some forms of surveys will be done on the Internet with a link emailed to the questions. This is a very simple way to do our research. You can keep this data tabulated in a structured way by using an Excel questionnaire template, or you can choose to use a plain old pen and paper to tabulate your responses.

Another way to conduct surveys and questionnaires is to have the questions asked in a structured and formal way by an interviewer in a setting where each participant is interviewed one at a time. The greatest advantage of this type of research is that the interviewer can clarify any ambiguous-sounding questions and help if the respondent is confused in any way.

Why Are Questionnaires Better than Focus Groups?

Many marketers will use questionnaires and surveys to get vital information about their customer to use in their future marketing campaigns. Questionnaires are a great way to make audience segmentation easier; as long as you know which questions you need answer. They’re also much cheaper in comparison to other data-gathering methods.

Questionnaires and surveys are more economical than training interviewers and holding focus groups. Most focus groups will require some sort of compensation and there is always a chance of interview bias involved in them. Sometimes these groups can veer off-topic as well. For this reason, having respondents fill out their own surveys gives you, as a researcher, more control over the results and guaranteed answers to your question.

When you design your questionnaire in Word, you’ll want to pay attention to the uniformity of the questions. Through this, questionnaires may give you more data than most in=person meetings or interviews. You can still guide the readers toward an answer if you are not careful, but at least make sure that the questionnaires are uniform, asking the same questions, in the same order, in the same way.  If the questions are highly structured, and you provide multiple choice answers, then the survey you are working with is standardize and therefore more likely to answer the deeper questions surrounding the research h you are doing.

Please keep in mind, when designing your surveys and using Word or Excel templates, that a random sampling is the best way to distribute a survey. By asking a random group of customers or people in a certain demographic or geographic area, you will be able to rule out biased samples. If you are using incentives to entice people to respond to your survey, then you should realize that some people might only be participating in your survey to get the “prize”. Because of this, your survey may fall short and have biased respondents who may not even be totally honest about their opinions.

What Factors Affect The Response Rate of Your Questionnaires?

There are several factors to keep in mind as you begin to fill out your survey or questionnaire templates. There are a few things that can affect the outcome of a mailing or other campaign asking a sampling of people to respond. Ask yourself the following questions before doing any mailing, postal or email :

• What is the length of the questionnaire? Is it too long and consuming for most people to answer? Keep it to one page or less than ten questions to optimize responses.
• What is the reputation of the business or organization sending out the survey? If you’re a political organization known for a right or left-leaning ideology, you will likely have people who oppose your ideology that may ignore your survey or skew it on purpose.
• Are the questions too complex or have you simplified them to eliminate any ambiguities?
• Are the questions on a subject that the respondent may find important? Can you change the wording to reflect more urgency? When a respondent feels that their opinion is truly needed and important, they are more likely to answer your questions.
• What time of year are you sending your surveys out? Think about the timing of your mailing in relation to national and religious holidays. Don’t send a survey out to parents in the middle of summer vacation. It will sit unopened if they are out of town.
• Are you asking questions that only your sampling group can answer? Don’t overlap with publicly available information such as demographic data that can be easily found in free government sources such as the census.

Get the Most Out Of Your Questionnaire and Survey Templates

A good questionnaire deals with a topic that the recipient will feel is important and has opinions on. Each survey you send out should have an accompanying letter that explains why it’s important to spend time completing it. For example, if you’re a nonprofit surveying the community to decide where you will allocate funds this year within the community, you should explain how the answers would shape new programs that will provide vital services. The importance of the answers should be stated clearly and the cover letter should make a compelling introduction to the needs you have for the information.

Are you ready to get started with your own survey or questionnaire? We have free Word and Excel templates ready for you to download and start customizing today.

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• Starting the research process
• 10 Research Question Examples to Guide Your Research Project

10 Research Question Examples to Guide your Research Project

Published on October 30, 2022 by Shona McCombes . Revised on October 19, 2023.

The research question is one of the most important parts of your research paper , thesis or dissertation . It’s important to spend some time assessing and refining your question before you get started.

The exact form of your question will depend on a few things, such as the length of your project, the type of research you’re conducting, the topic , and the research problem . However, all research questions should be focused, specific, and relevant to a timely social or scholarly issue.

Once you’ve read our guide on how to write a research question , you can use these examples to craft your own.

Note that the design of your research question can depend on what method you are pursuing. Here are a few options for qualitative, quantitative, and statistical research questions.

Other interesting articles

If you want to know more about the research process , methodology , research bias , or statistics , make sure to check out some of our other articles with explanations and examples.

Methodology

• Sampling methods
• Simple random sampling
• Stratified sampling
• Cluster sampling
• Likert scales
• Reproducibility

 Statistics

• Null hypothesis
• Statistical power
• Probability distribution
• Effect size
• Poisson distribution

Research bias

• Optimism bias
• Cognitive bias
• Implicit bias
• Hawthorne effect
• Anchoring bias
• Explicit bias

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McCombes, S. (2023, October 19). 10 Research Question Examples to Guide your Research Project. Scribbr. Retrieved September 25, 2024, from https://www.scribbr.com/research-process/research-question-examples/

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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 Project 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

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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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• Questionnaire Design | Methods, Question Types & Examples

Questionnaire Design | Methods, Question Types & Examples

Published on 6 May 2022 by Pritha Bhandari . Revised on 10 October 2022.

A questionnaire is a list of questions or items used to gather data from respondents about their attitudes, experiences, or opinions. Questionnaires can be used to collect quantitative and/or qualitative information.

Questionnaires are commonly used in market research as well as in the social and health sciences. For example, a company may ask for feedback about a recent customer service experience, or psychology researchers may investigate health risk perceptions using questionnaires.

Table of contents

Questionnaires vs surveys, questionnaire methods, open-ended vs closed-ended questions, question wording, question order, step-by-step guide to design, frequently asked questions about questionnaire design.

A survey is a research method where you collect and analyse data from a group of people. A questionnaire is a specific tool or instrument for collecting the data.

Designing a questionnaire means creating valid and reliable questions that address your research objectives, placing them in a useful order, and selecting an appropriate method for administration.

But designing a questionnaire is only one component of survey research. Survey research also involves defining the population you’re interested in, choosing an appropriate sampling method , administering questionnaires, data cleaning and analysis, and interpretation.

Sampling is important in survey research because you’ll often aim to generalise your results to the population. Gather data from a sample that represents the range of views in the population for externally valid results. There will always be some differences between the population and the sample, but minimising these will help you avoid sampling bias .

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Questionnaires can be self-administered or researcher-administered . Self-administered questionnaires are more common because they are easy to implement and inexpensive, but researcher-administered questionnaires allow deeper insights.

Self-administered questionnaires

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

Self-administered questionnaires can be:

• Cost-effective
• Easy to administer for small and large groups
• Anonymous and suitable for sensitive topics

But they may also be:

• Unsuitable for people with limited literacy or verbal skills
• Susceptible to a nonreponse bias (most people invited may not complete the questionnaire)
• Biased towards people who volunteer because impersonal survey requests often go ignored

Researcher-administered questionnaires

Researcher-administered questionnaires are interviews that take place by phone, in person, or online between researchers and respondents.

Researcher-administered questionnaires can:

• Help you ensure the respondents are representative of your target audience
• Allow clarifications of ambiguous or unclear questions and answers
• Have high response rates because it’s harder to refuse an interview when personal attention is given to respondents

But researcher-administered questionnaires can be limiting in terms of resources. They are:

• Costly and time-consuming to perform
• More difficult to analyse if you have qualitative responses
• Likely to contain experimenter bias or demand characteristics
• Likely to encourage social desirability bias in responses because of a lack of anonymity

Your questionnaire can include open-ended or closed-ended questions, or a combination of both.

Using closed-ended questions limits your responses, while open-ended questions enable a broad range of answers. You’ll need to balance these considerations with your available time and resources.

Closed-ended questions

Closed-ended, or restricted-choice, questions offer respondents a fixed set of choices to select from. Closed-ended questions are best for collecting data on categorical or quantitative variables.

Categorical variables can be nominal or ordinal. Quantitative variables can be interval or ratio. Understanding the type of variable and level of measurement means you can perform appropriate statistical analyses for generalisable results.

Examples of closed-ended questions for different variables

Nominal variables include categories that can’t be ranked, such as race or ethnicity. This includes binary or dichotomous categories.

It’s best to include categories that cover all possible answers and are mutually exclusive. There should be no overlap between response items.

In binary or dichotomous questions, you’ll give respondents only two options to choose from.

White Black or African American American Indian or Alaska Native Asian Native Hawaiian or Other Pacific Islander

Ordinal variables include categories that can be ranked. Consider how wide or narrow a range you’ll include in your response items, and their relevance to your respondents.

Likert-type questions collect ordinal data using rating scales with five or seven points.

When you have four or more Likert-type questions, you can treat the composite data as quantitative data on an interval scale . Intelligence tests, psychological scales, and personality inventories use multiple Likert-type questions to collect interval data.

With interval or ratio data, you can apply strong statistical hypothesis tests to address your research aims.

Pros and cons of closed-ended questions

Well-designed closed-ended questions are easy to understand and can be answered quickly. However, you might still miss important answers that are relevant to respondents. An incomplete set of response items may force some respondents to pick the closest alternative to their true answer. These types of questions may also miss out on valuable detail.

To solve these problems, you can make questions partially closed-ended, and include an open-ended option where respondents can fill in their own answer.

Open-ended questions

Open-ended, or long-form, questions allow respondents to give answers in their own words. Because there are no restrictions on their choices, respondents can answer in ways that researchers may not have otherwise considered. For example, respondents may want to answer ‘multiracial’ for the question on race rather than selecting from a restricted list.

• How do you feel about open science?
• How would you describe your personality?
• In your opinion, what is the biggest obstacle to productivity in remote work?

Open-ended questions have a few downsides.

They require more time and effort from respondents, which may deter them from completing the questionnaire.

For researchers, understanding and summarising responses to these questions can take a lot of time and resources. You’ll need to develop a systematic coding scheme to categorise answers, and you may also need to involve other researchers in data analysis for high reliability .

Question wording can influence your respondents’ answers, especially if the language is unclear, ambiguous, or biased. Good questions need to be understood by all respondents in the same way ( reliable ) and measure exactly what you’re interested in ( valid ).

Use clear language

You should design questions with your target audience in mind. Consider their familiarity with your questionnaire topics and language and tailor your questions to them.

For readability and clarity, avoid jargon or overly complex language. Don’t use double negatives because they can be harder to understand.

Use balanced framing

Respondents often answer in different ways depending on the question framing. Positive frames are interpreted as more neutral than negative frames and may encourage more socially desirable answers.

Use a mix of both positive and negative frames to avoid bias , and ensure that your question wording is balanced wherever possible.

Unbalanced questions focus on only one side of an argument. Respondents may be less likely to oppose the question if it is framed in a particular direction. It’s best practice to provide a counterargument within the question as well.

Avoid leading questions

Leading questions guide respondents towards answering in specific ways, even if that’s not how they truly feel, by explicitly or implicitly providing them with extra information.

It’s best to keep your questions short and specific to your topic of interest.

• The average daily work commute in the US takes 54.2 minutes and costs $29 per day. Since 2020, working from home has saved many employees time and money. Do you favour flexible work-from-home policies even after it’s safe to return to offices?
• Experts agree that a well-balanced diet provides sufficient vitamins and minerals, and multivitamins and supplements are not necessary or effective. Do you agree or disagree that multivitamins are helpful for balanced nutrition?

Keep your questions focused

Ask about only one idea at a time and avoid double-barrelled questions. Double-barrelled questions ask about more than one item at a time, which can confuse respondents.

This question could be difficult to answer for respondents who feel strongly about the right to clean drinking water but not high-speed internet. They might only answer about the topic they feel passionate about or provide a neutral answer instead – but neither of these options capture their true answers.

Instead, you should ask two separate questions to gauge respondents’ opinions.

Strongly Agree Agree Undecided Disagree Strongly Disagree

Do you agree or disagree that the government should be responsible for providing high-speed internet to everyone?

You can organise the questions logically, with a clear progression from simple to complex. Alternatively, you can randomise the question order between respondents.

Logical flow

Using a logical flow to your question order means starting with simple questions, such as behavioural or opinion questions, and ending with more complex, sensitive, or controversial questions.

The question order that you use can significantly affect the responses by priming them in specific directions. Question order effects, or context effects, occur when earlier questions influence the responses to later questions, reducing the validity of your questionnaire.

While demographic questions are usually unaffected by order effects, questions about opinions and attitudes are more susceptible to them.

• How knowledgeable are you about Joe Biden’s executive orders in his first 100 days?
• Are you satisfied or dissatisfied with the way Joe Biden is managing the economy?
• Do you approve or disapprove of the way Joe Biden is handling his job as president?

It’s important to minimise order effects because they can be a source of systematic error or bias in your study.

Randomisation

Randomisation involves presenting individual respondents with the same questionnaire but with different question orders.

When you use randomisation, order effects will be minimised in your dataset. But a randomised order may also make it harder for respondents to process your questionnaire. Some questions may need more cognitive effort, while others are easier to answer, so a random order could require more time or mental capacity for respondents to switch between questions.

Follow this step-by-step guide to design your questionnaire.

Step 1: Define your goals and objectives

The first step of designing a questionnaire is determining your aims.

• What topics or experiences are you studying?
• What specifically do you want to find out?
• Is a self-report questionnaire an appropriate tool for investigating this topic?

Once you’ve specified your research aims, you can operationalise your variables of interest into questionnaire items. Operationalising concepts means turning them from abstract ideas into concrete measurements. Every question needs to address a defined need and have a clear purpose.

Step 2: Use questions that are suitable for your sample

Create appropriate questions by taking the perspective of your respondents. Consider their language proficiency and available time and energy when designing your questionnaire.

• Are the respondents familiar with the language and terms used in your questions?
• Would any of the questions insult, confuse, or embarrass them?
• Do the response items for any closed-ended questions capture all possible answers?
• Are the response items mutually exclusive?
• Do the respondents have time to respond to open-ended questions?

Consider all possible options for responses to closed-ended questions. From a respondent’s perspective, a lack of response options reflecting their point of view or true answer may make them feel alienated or excluded. In turn, they’ll become disengaged or inattentive to the rest of the questionnaire.

Step 3: Decide on your questionnaire length and question order

Once you have your questions, make sure that the length and order of your questions are appropriate for your sample.

If respondents are not being incentivised or compensated, keep your questionnaire short and easy to answer. Otherwise, your sample may be biased with only highly motivated respondents completing the questionnaire.

Decide on your question order based on your aims and resources. Use a logical flow if your respondents have limited time or if you cannot randomise questions. Randomising questions helps you avoid bias, but it can take more complex statistical analysis to interpret your data.

Step 4: Pretest your questionnaire

When you have a complete list of questions, you’ll need to pretest it to make sure what you’re asking is always clear and unambiguous. Pretesting helps you catch any errors or points of confusion before performing your study.

Ask friends, classmates, or members of your target audience to complete your questionnaire using the same method you’ll use for your research. Find out if any questions were particularly difficult to answer or if the directions were unclear or inconsistent, and make changes as necessary.

If you have the resources, running a pilot study will help you test the validity and reliability of your questionnaire. A pilot study is a practice run of the full study, and it includes sampling, data collection , and analysis.

You can find out whether your procedures are unfeasible or susceptible to bias and make changes in time, but you can’t test a hypothesis with this type of study because it’s usually statistically underpowered .

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.

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

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

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.

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

Questionnaires can be self-administered or researcher-administered.

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

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Bhandari, P. (2022, October 10). Questionnaire Design | Methods, Question Types & Examples. Scribbr. Retrieved 23 September 2024, from https://www.scribbr.co.uk/research-methods/questionnaire-design/

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If you want to use surveys, questionnaires, interview questions, tests, measures, or other instruments created by other people, you are required to locate and follow usage permissions. The instrument may be protected by copyright and/or licensing restrictions.

Copyright Protection

Copyright provides authors of original creative work with limited control over the reproduction and distribution of that work. Under United States law, all original expressions that are “fixed in a tangible medium” are automatically protected by copyright at the time of their creation. In other words, it is not necessary to formally state a declaration of copyright, to use the © symbol, or to register with the United States Copyright Office.

Therefore, you must assume that any material you find is copyrighted, unless you have evidence otherwise. This is the case whether you find the instrument openly on the web, in a library database, or reproduced in a journal article. It is your legal and ethical responsibility to obtain permission to use, modify, and/or reproduce the instrument.

If you use and/or reproduce material in your thesis/dissertation beyond the limits outlined by the “fair use” doctrine, which allows for limited use of a work, without first gaining the copyright holder’s permission, you may be infringing copyright.

Licensing/Terms of Use

Some instruments are explicitly distributed under a license agreement or terms of use. Unlike copyright, which applies automatically, users must agree to these terms in order to use the instrument. In exchange for abiding by the terms, the copyright holder grants the licensee specific and limited rights, such as the right to use the instrument in scholarly research, or to reproduce the instrument in a publication.

When you ask a copyright holder for permission to use or reproduce an instrument, you are in effect asking for a license to do those things.

How do I know if I need permission to use instruments in my thesis/dissertation research? (Adapted from Hathcock & Crews )

Follow the four-step process below:

1. Determine whether you need permission

There are different levels of permissions for using an instrument:

a)  No permission required

i. The copyright holder has explicitly licensed the use of instrument for any purpose, without requiring you to obtain permission.

ii. If you are only using a limited portion of the instrument, your use may be covered under the Fair Use Doctrine. See more here:  https://uhcl.libguides.com/copyright/fairuse .

iii. If the instrument was developed by the federal government or under a government grant it may be in the public domain, and permission is therefore not required.

iv. If the document was created before 1977, it may be in the public domain, and permission is therefore not required. See the Stanford Public Domain Flowchart at https://fairuse.stanford.edu/wp-content/uploads/2014/06/publicdomainflowchart.png .

b)  Non-commercial/educational use: The copyright holder has licensed the instrument only for non-commercial research or educational purposes, without requiring you to obtain the permission of the copyright holder. Any other usage requires permission.

Sample Permission for Educational Use:

Test content may be reproduced and used for non-commercial research and educational purposes without seeking written permission. Distribution must be controlled, meaning only to the participants engaged in the research or enrolled in the educational activity. Any other type of reproduction or distribution of test content is not authorized without written permission from the author and publisher. Always include a credit line that contains the source citation and copyright owner when writing about or using any test.

Source: Marta Soto, “How Permissions Work in PsycTests,” APA Databases & Electronic Resources Blog. American Psychological Association. http://blog.apapubs.org/2016/12/21/how-permissions-work-in-psyctests/ .

Even if you are not required to obtain permission to use the instrument, consider contacting the author for ideas on how to administer and analyze the test. Authors often welcome further use of their work, and may request you send them a copy of your final work.

c)  Permission required:  Instruments that require you to obtain the permission of the copyright holder, regardless of whether the use is for educational or commercial purposes. This may be because the copyright holder

• has important directions for how the test must be administered and analyzed
• wants to make sure the most current version is being used
• charges users a fee in order to administer the test

If you cannot locate the permissions, you are required to identify the copyright holder and contact them to ask about permission to use the instrument.

2. Identify the copyright holder  (Adapted from Crews )

The next step is to identify who owns the copyright. The copyright holder is usually the creator of the work. If the copyright owner is an individual, you will need to do the usual Internet and telephone searches to find the person. Be ready to introduce yourself and to explain carefully what you are seeking.

Some authors transfer copyright to another entity, such as a journal publisher or an organization. In these cases, you must obtain permission from that entity to use or reproduce the instrument. You can often identify the owner by locating a © copyright notice, but as mentioned above, not all copyrighted works have a notice.

Check the following sources to locate instruments, their copyright holders, and their permission statements:

• Mental Measurements Yearbook: https://uhcl.idm.oclc.org/login?url=https://search.ebscohost.com/login.aspx?authtype=ip,uid&profile=ehost&defaultdb=mmt
• PsycTESTS: https://uhcl.idm.oclc.org/login?url=https://search.ebscohost.com/login.aspx?authtype=ip,uid&profile=ehost&defaultdb=pst
• Neumann Library Tests & Measures help: https://uhcl.libguides.com/PSYC/tests
• Library assistance e-mail: [email protected]

​You may need to contact the author or publisher directly to find out who owns the copyright. Publishers often have websites that prescribe a method for contacting the copyright owner, so search the publisher website for a permissions department or contact person. Be sure to confirm the exact name and address of the addressee, and call/e-mail the person or publishing house to confirm the copyright ownership.

• The copyright owner may prefer or require that permission requests be made using a certain medium (i.e. fax, mail, web form, etc.). If you do not follow instructions, you may not get a reply.
• Telephone calls may be the quickest method for getting a response from the owner, but they should be followed up with a letter or e-mail in order to document the exact scope of the permission. E-mail permissions are legally acceptable in most cases, but getting a genuine signature is usually best.
• The request should be sent to the individual copyright holder (when applicable) or permissions department of the publisher in question. Be sure to include your return address, telephone and fax numbers, e-mail address, and the date at the top of your letter or message. If you send the permission request by mail, include a self-addressed, stamped return envelope.
• Make the process easy for the copyright owner. The less effort the owner has to put forth, the more likely you will get the permission you need. If you are using conventional mail, include a second copy of your request for the owner’s records.
• State clearly who you are, your institutional affiliation (e.g., University of Houston-Clear Lake), and the general nature of your thesis/dissertation research.

Do not send permissions letters to all possible rightsholders simultaneously. Taking the time to find the person who most likely holds the copyright will better yield success. If you do not have much information about who actually owns the copyright, be honest with your contacts, and they may be able to help you find the right person.

3. Ask for permission  (Adapted from  Crews )

Once you have identified the copyright holder, you must determine the scope of your permission request. Some copyright owners furnish their own permission form that you may download from their website.

If the copyright owner does not provide a permission agreement form, you may write your own letter ( click here to download a template ). Requests should be made in writing; e-mail is fine for this purpose. A most effective letter will include detailed information concerning your request for permission to use the work. Include the following information:

• Who: Introduce yourself. Tell who you are, your degree program, and a brief overview of your research.
• Why: Tell why you are contacting that person or entity for permission.
• What: Be as specific as possible when you cite and describe the instrument you wish to use. Include whether you plan to use the entire instrument, or if you plan on modifying or adapting any of the questions.
• How: Tell how you plan to use the instrument. Specify the parameters of your research study, and include any important information about the way you will administer the instrument and/or analyze the results.
• When: Expected length of the project and time to complete the thesis/dissertation.

Important : Obtaining permission to use an instrument is not the same as obtaining permission to reproduce the instrument in your appendix. If you intend on providing a copy of the instrument in an appendix, ask for separate permissions to do that.

Click here to download a template letter . Feel free to modify and adapt this template for your purposes.

4. Keep a record

After securing permission to use and/or reproduce the instrument, save a copy of the correspondence and the agreement. Documentation allows you to demonstrate to others that you have the legal right to use the owner's work. In the unlikely event that your use of the work is ever challenged, you will need to demonstrate your good faith efforts. That challenge could arise far in the future, so keep a permanent file of the records. Moreover, you might need to contact that same copyright owner again for a later use of the work, and your notes from the past will make the task easier.

Upload a copy of your permission letter in Vireo with your thesis/dissertation, or include it as an appendix in the document itself.

What if I can't locate the copyright holder?  (Adapted from Hathcock  & Crews & Pantalony )

In some cases, you may never get a response from the copyright holder or you may never even be able to identify who they are or how to contact them. It can be difficult to know how to proceed when you reach a dead end. Unfortunately, no matter how diligently you have tried to get permission, these efforts cannot completely eliminate the risk of infringement should you proceed to use the work.

Assuming you have diligently investigated your alternatives, do not want to change your project, and remain in need of the elusive copyright permission, the remaining alternative is to explore a risk-benefit analysis. You need to balance the benefits of using that particular material in your given project against the risks that a copyright owner may see your project, identify the materials, and assert the owner’s legal claims against you. Numerous factual circumstances may be important in this evaluation. The “benefit” may depend upon the importance of your project and the importance of using that particular material. The “risks” may depend upon whether your project will be published or available on the Internet for widespread access—as theses and dissertations will. You ought to investigate whether the work is registered with the U.S. Copyright Office and weigh the thoroughness of your search for the copyright owner and your quest for appropriate permission.

Undertaking this analysis can be sensitive and must be advanced with caution and with careful documentation. You may be acting to reduce the risk of liability, but you have not eliminated liability. A copyright owner may still hold rights to the material. Members of the University of Houston-Clear Lake community should consult with their chair or the Neumann Library to discuss their options.

Portions of this FAQ are used and adapted from:

Crews, Kenneth and Rina Elster Pantalony. “Special Cases.” Columbia University Copyright Advisory Services. https://copyright.columbia.edu/basics/special-cases.html . Licensed under Creative Commons Attribution 4.0 International (CC BY 4.0).

Crews, Kenneth. “Asking for Permission.” Columbia University Advisory Services. https://copyright.columbia.edu/basics/permissions-and-licensing.html . Licensed under Creative Commons Attribution 4.0 International (CC BY 4.0).

Hathcock, April. “Getting Permission.” NYU Libraries Copyright Library Guide, https://guides.nyu.edu/c.php?g=276785&p=1845968 . Licensed under Creative Commons Attribution-NonCommercial 4.0 International (CC BY-NC 4.0).

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•  Voter Behavior Surveys: How To Create, Components + Free Template

• Data Collection

Various factors influence the voters’ behavior before, during, and after elections. It could be what they see in the news, what they hear from the people and their feelings about candidates’ stance on issues that matter to them. 

Voter behavior surveys enable you to identify voters’ preferences and attitudes during elections. This information helps you see behavioral patterns across certain demographics towards elections and candidates, spot biases, and shape favorable election campaign strategies and policies.

So, let’s look at how to create effective voter behavior surveys, common pitfalls, and a free template to get you started.

What Are Voter Behavior Surveys?

Voter behavior surveys gather data on voters’ attitudes, preferences, and behaviors in elections and political issues. It helps you understand why voters behave the way they do, what influences their decisions, and how they respond to different campaign strategies.

The data collected from the survey helps you position your candidate rightly, and create better election policies to prevent biases. It could also help you to forecast election outcomes.

Why Do You Need Voter Behavior Surveys in Political Campaigns and Research

The following are the major reasons why every campaign strategist and political researcher should conduct a voter behavior survey:

• Positioning and Voter Engagement – Help candidates and parties understand their target audience and tailor their messages effectively. This ensures you connect with the voters, address their concerns, and gain their support.
• Strategy Formulation – your survey data can influence your campaign strategies, such as resource allocation and messaging. For instance, it might guide you to focus on the best communication channels and specific campaign trails to follow closely. You can also guide you in creating engaging messages that resonate with your audience, making them more likely to support the candidates
• Election Pattern and Prediction – Enable researchers to study voting patterns, trends, and correlations. This could help test voter behavior hypotheses and make new discoveries and even recommendations to progress political science.

How To Create a Voter Behavior Survey

Here’s a breakdown of the step-by-step procedure for creating effective voter behavior surveys:

Step 1: Define Your Objectives

This involves specifying the goals you want to achieve with the survey. For example, do you want to improve campaign strategy to acquire more support or do you want to know who would win the elections?

Knowing this would help you know the questions to add to the survey e.g. preferences, demographic questions, and opinions on specific topics or candidates.

Step 2: Identify Your Target Audience

The next step is to determine the people you want to share the survey with. This includes questions about their d emographics (age, gender, income, education), geographic location (region, city, rural/urban), and the method to collect responses from your chosen population.

Step 3: Design Your Questions

When collecting opinions on sensitive topics like elections, you want to ensure your questions are not leading or biased. If they are unclear or biased, you would most likely collect inaccurate and unreliable data that would help achieve your goal.

So, use simple language, stay neutral when asking questions related to candidates, use multiple question types so respondents can express themselves fully, and randomize questions and answers to avoid anchoring and sequence bias . 

Step 4: Choose Your Survey Method

After creating your questions, the next step is to consider your target audience preferences and device availability to select a survey method. The golden rule of thumb is to use a convenient and cost-effective method, which in most cases is online surveys. 

However, online surveys can be prone to self-selection bias, which can significantly skew results and provide inaccurate data. Using this incorrect data could derail your campaign if you use it to inform the campaign strategy.

Other alternatives are phone surveys and face-to-face surveys. They typically have a balanced representation but are time-consuming and expensive. For example, if it’s a global election for a role in an international organization, the best approach is online surveys.

Step 5: Pilot Testing

This is the final phase before launching your form, it helps you see how effective your survey is and what you can do to improve respondent experience. For example, it can help you identify question-order biases and randomize them. It can also help you identify errors while filling out the survey e.g. spelling errors, broken links, lack of accessibility for low vision, etc.

Free Voter Behavior Survey Template

Here’s a step-by-step guide to creating your voter behavior survey template with Formplus:

• Go to the voter behavior survey template and click use template .
• Next, sign up or log in to your account and the form will open.
• Edit the form questions to fit your volunteer requirements and click save. 
• After that, customize your form by adding your organization’s logo, color palette, and font choices, and you’re all set.

Analyzing and Interpreting Survey Data

After launching your form, and collecting responses from responses, what’s next? Leveraging the collected data to achieve your desired goal, e.g. developing a new campaign strategy, etc. Let’s look at how to analyze your voter behavior survey:

A. Data Collection and Cleaning

Steps for collecting and organizing survey responses:

• Gathering responses : Collect survey data through online forms, phone calls, or in-person interviews.
• Organizing data : Store responses in a spreadsheet or database, ensuring consistent formatting.
• Data validation : Check for errors, inconsistencies, or missing values.

Importance of Data Cleaning

• Accuracy: Ensures reliable analysis and conclusions.
• Consistency: Facilitates comparison and aggregation of data.
• Completeness: Minimizes bias from missing values.

B. Statistical Analysis

The next step after organizing your data is to analyze it according to your stated goals. For example, looking through demographics and respondents’ demographic data to understand their preferences and candidate support from that demographic. The following are the most common types of statistical analysis methods for predicting behaviors:

• Descriptive statistics : Calculate means, frequencies, and percentages to summarize data—for example, means, and frequencies of demographic vs opinion on candidates. You can use spreadsheets e.g. Excel or Google Sheets to calculate this.
• Inferential statistics: Use regression, correlation, and hypothesis testing to identify relationships and trends. For example, you could have a directly proportional trend of Millennials and Gen Z’s growing support for a candidate for election duration. You can use any of the tools used for descriptive statistics or opt for advanced statistical tools like SPSS, and Python to calculate this
• Data visualization : Use charts, graphs, and heatmaps to illustrate findings. This makes it easy for anyone to understand trends and behavioral patterns amongst your audience. You can create charts or infographics with design tools like Venngage, Canva, or even directly from your spreadsheet, and if you’re handling very large data you might want to opt for advanced tools like Power BI.

C. Interpreting Results

After analyzing your data, the next thing is to identify the trends in the data. For example, if you notice people of a certain demographic lean toward a candidate, that’s a trend. Then you go further to find the reason for this to determine the factors that cause this correlation e.g. candidate values.

After finding the reason for the correlation, the next step is to use the results to inform your campaign strategy. For example, it helps you know the key issues that matter to voters and use that in your messaging to gather support for your campaign.

Also, while interpreting results make sure to note the survey limitation e.g. sampling errors, or response rate. For example, if only people from a certain area in a city participate in your survey, your survey can’t be the true pulse of everyone in the city; note down the limitation.

Voter behavior surveys play a key role in helping you see patterns in voters’ behavior and use the information to inform your campaign strategy. This can significantly improve your target audience’s recognition and perception of your candidate.

Also, your voter behavior survey will only give useful information when it’s accurate, so ensure you take precautionary steps to prevent errors and note biases when interpreting the results.

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• Moradeke Owa

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