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How to Develop a Questionnaire for Research
Last Updated: July 21, 2024 Fact Checked
This article was co-authored by Alexander Ruiz, M.Ed. . Alexander Ruiz is an Educational Consultant and the Educational Director of Link Educational Institute, a tutoring business based in Claremont, California that provides customizable educational plans, subject and test prep tutoring, and college application consulting. With over a decade and a half of experience in the education industry, Alexander coaches students to increase their self-awareness and emotional intelligence while achieving skills and the goal of achieving skills and higher education. He holds a BA in Psychology from Florida International University and an MA in Education from Georgia Southern University. There are 12 references cited in this article, which can be found at the bottom of the page. This article has been fact-checked, ensuring the accuracy of any cited facts and confirming the authority of its sources. This article has been viewed 594,598 times.
A questionnaire is a technique for collecting data in which a respondent provides answers to a series of questions. [1] X Research source To develop a questionnaire that will collect the data you want takes effort and time. However, by taking a step-by-step approach to questionnaire development, you can come up with an effective means to collect data that will answer your unique research question.
Designing Your Questionnaire
- Come up with a research question. It can be one question or several, but this should be the focal point of your questionnaire.
- Develop one or several hypotheses that you want to test. The questions that you include on your questionnaire should be aimed at systematically testing these hypotheses.
- Dichotomous question: this is a question that will generally be a “yes/no” question, but may also be an “agree/disagree” question. It is the quickest and simplest question to analyze, but is not a highly sensitive measure.
- Open-ended questions: these questions allow the respondent to respond in their own words. They can be useful for gaining insight into the feelings of the respondent, but can be a challenge when it comes to analysis of data. It is recommended to use open-ended questions to address the issue of “why.” [2] X Research source
- Multiple choice questions: these questions consist of three or more mutually-exclusive categories and ask for a single answer or several answers. [3] X Research source Multiple choice questions allow for easy analysis of results, but may not give the respondent the answer they want.
- Rank-order (or ordinal) scale questions: this type of question asks your respondent to rank items or choose items in a particular order from a set. For example, it might ask your respondents to order five things from least to most important. These types of questions forces discrimination among alternatives, but does not address the issue of why the respondent made these discriminations. [4] X Research source
- Rating scale questions: these questions allow the respondent to assess a particular issue based on a given dimension. You can provide a scale that gives an equal number of positive and negative choices, for example, ranging from “strongly agree” to “strongly disagree.” [5] X Research source These questions are very flexible, but also do not answer the question “why.”
- Write questions that are succinct and simple. You should not be writing complex statements or using technical jargon, as it will only confuse your respondents and lead to incorrect responses.
- Ask only one question at a time. This will help avoid confusion
- Asking questions such as these usually require you to anonymize or encrypt the demographic data you collect.
- Determine if you will include an answer such as “I don’t know” or “Not applicable to me.” While these can give your respondents a way of not answering certain questions, providing these options can also lead to missing data, which can be problematic during data analysis.
- Put the most important questions at the beginning of your questionnaire. This can help you gather important data even if you sense that your respondents may be becoming distracted by the end of the questionnaire.
- Only include questions that are directly useful to your research question. [8] X Trustworthy Source Food and Agricultural Organization of the United Nations Specialized agency of the United Nations responsible for leading international efforts to end world hunger and improve nutrition Go to source A questionnaire is not an opportunity to collect all kinds of information about your respondents.
- Avoid asking redundant questions. This will frustrate those who are taking your questionnaire.
- Consider if you want your questionnaire to collect information from both men and women. Some studies will only survey one sex.
- Consider including a range of ages in your target demographic. For example, you can consider young adult to be 18-29 years old, adults to be 30-54 years old, and mature adults to be 55+. Providing the an age range will help you get more respondents than limiting yourself to a specific age.
- Consider what else would make a person a target for your questionnaire. Do they need to drive a car? Do they need to have health insurance? Do they need to have a child under 3? Make sure you are very clear about this before you distribute your questionnaire.
- Consider an anonymous questionnaire. You may not want to ask for names on your questionnaire. This is one step you can take to prevent privacy, however it is often possible to figure out a respondent’s identity using other demographic information (such as age, physical features, or zipcode).
- Consider de-identifying the identity of your respondents. Give each questionnaire (and thus, each respondent) a unique number or word, and only refer to them using that new identifier. Shred any personal information that can be used to determine identity.
- Remember that you do not need to collect much demographic information to be able to identify someone. People may be wary to provide this information, so you may get more respondents by asking less demographic questions (if it is possible for your questionnaire).
- Make sure you destroy all identifying information after your study is complete.
Writing your questionnaire
- My name is Jack Smith and I am one of the creators of this questionnaire. I am part of the Department of Psychology at the University of Michigan, where I am focusing in developing cognition in infants.
- I’m Kelly Smith, a 3rd year undergraduate student at the University of New Mexico. This questionnaire is part of my final exam in statistics.
- My name is Steve Johnson, and I’m a marketing analyst for The Best Company. I’ve been working on questionnaire development to determine attitudes surrounding drug use in Canada for several years.
- I am collecting data regarding the attitudes surrounding gun control. This information is being collected for my Anthropology 101 class at the University of Maryland.
- This questionnaire will ask you 15 questions about your eating and exercise habits. We are attempting to make a correlation between healthy eating, frequency of exercise, and incidence of cancer in mature adults.
- This questionnaire will ask you about your recent experiences with international air travel. There will be three sections of questions that will ask you to recount your recent trips and your feelings surrounding these trips, as well as your travel plans for the future. We are looking to understand how a person’s feelings surrounding air travel impact their future plans.
- Beware that if you are collecting information for a university or for publication, you may need to check in with your institution’s Institutional Review Board (IRB) for permission before beginning. Most research universities have a dedicated IRB staff, and their information can usually be found on the school’s website.
- Remember that transparency is best. It is important to be honest about what will happen with the data you collect.
- Include an informed consent for if necessary. Note that you cannot guarantee confidentiality, but you will make all reasonable attempts to ensure that you protect their information. [11] X Research source
- Time yourself taking the survey. Then consider that it will take some people longer than you, and some people less time than you.
- Provide a time range instead of a specific time. For example, it’s better to say that a survey will take between 15 and 30 minutes than to say it will take 15 minutes and have some respondents quit halfway through.
- Use this as a reason to keep your survey concise! You will feel much better asking people to take a 20 minute survey than you will asking them to take a 3 hour one.
- Incentives can attract the wrong kind of respondent. You don’t want to incorporate responses from people who rush through your questionnaire just to get the reward at the end. This is a danger of offering an incentive. [12] X Research source
- Incentives can encourage people to respond to your survey who might not have responded without a reward. This is a situation in which incentives can help you reach your target number of respondents. [13] X Research source
- Consider the strategy used by SurveyMonkey. Instead of directly paying respondents to take their surveys, they offer 50 cents to the charity of their choice when a respondent fills out a survey. They feel that this lessens the chances that a respondent will fill out a questionnaire out of pure self-interest. [14] X Research source
- Consider entering each respondent in to a drawing for a prize if they complete the questionnaire. You can offer a 25$ gift card to a restaurant, or a new iPod, or a ticket to a movie. This makes it less tempting just to respond to your questionnaire for the incentive alone, but still offers the chance of a pleasant reward.
- Always proof read. Check for spelling, grammar, and punctuation errors.
- Include a title. This is a good way for your respondents to understand the focus of the survey as quickly as possible.
- Thank your respondents. Thank them for taking the time and effort to complete your survey.
Distributing Your Questionnaire
- Was the questionnaire easy to understand? Were there any questions that confused you?
- Was the questionnaire easy to access? (Especially important if your questionnaire is online).
- Do you feel the questionnaire was worth your time?
- Were you comfortable answering the questions asked?
- Are there any improvements you would make to the questionnaire?
- Use an online site, such as SurveyMonkey.com. This site allows you to write your own questionnaire with their survey builder, and provides additional options such as the option to buy a target audience and use their analytics to analyze your data. [18] X Research source
- Consider using the mail. If you mail your survey, always make sure you include a self-addressed stamped envelope so that the respondent can easily mail their responses back. Make sure that your questionnaire will fit inside a standard business envelope.
- Conduct face-to-face interviews. This can be a good way to ensure that you are reaching your target demographic and can reduce missing information in your questionnaires, as it is more difficult for a respondent to avoid answering a question when you ask it directly.
- Try using the telephone. While this can be a more time-effective way to collect your data, it can be difficult to get people to respond to telephone questionnaires.
- Make your deadline reasonable. Giving respondents up to 2 weeks to answer should be more than sufficient. Anything longer and you risk your respondents forgetting about your questionnaire.
- Consider providing a reminder. A week before the deadline is a good time to provide a gentle reminder about returning the questionnaire. Include a replacement of the questionnaire in case it has been misplaced by your respondent.
Community Q&A
You Might Also Like
- ↑ https://www.questionpro.com/blog/what-is-a-questionnaire/
- ↑ https://www.hotjar.com/blog/open-ended-questions/
- ↑ https://www.questionpro.com/a/showArticle.do?articleID=survey-questions
- ↑ https://surveysparrow.com/blog/ranking-questions-examples/
- ↑ https://www.lumoa.me/blog/rating-scale/
- ↑ http://www.sciencebuddies.org/science-fair-projects/project_ideas/Soc_survey.shtml
- ↑ http://www.fao.org/docrep/W3241E/w3241e05.htm
- ↑ http://managementhelp.org/businessresearch/questionaires.htm
- ↑ https://www.surveymonkey.com/mp/survey-rewards/
- ↑ http://www.ideafit.com/fitness-library/how-to-develop-a-questionnaire
- ↑ https://www.surveymonkey.com/mp/take-a-tour/?ut_source=header
About This Article
To develop a questionnaire for research, identify the main objective of your research to act as the focal point for the questionnaire. Then, choose the type of questions that you want to include, and come up with succinct, straightforward questions to gather the information that you need to answer your questions. Keep your questionnaire as short as possible, and identify a target demographic who you would like to answer the questions. Remember to make the questionnaires as anonymous as possible to protect the integrity of the person answering the questions! For tips on writing out your questions and distributing the questionnaire, keep reading! Did this summary help you? Yes No
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Home » Questionnaire – Definition, Types, and Examples
Questionnaire – Definition, Types, and Examples
Table of Contents
Questionnaire
Definition:
A Questionnaire is a research tool or survey instrument that consists of a set of questions or prompts designed to gather information from individuals or groups of people.
It is a standardized way of collecting data from a large number of people by asking them a series of questions related to a specific topic or research objective. The questions may be open-ended or closed-ended, and the responses can be quantitative or qualitative. Questionnaires are widely used in research, marketing, social sciences, healthcare, and many other fields to collect data and insights from a target population.
History of Questionnaire
The history of questionnaires can be traced back to the ancient Greeks, who used questionnaires as a means of assessing public opinion. However, the modern history of questionnaires began in the late 19th century with the rise of social surveys.
The first social survey was conducted in the United States in 1874 by Francis A. Walker, who used a questionnaire to collect data on labor conditions. In the early 20th century, questionnaires became a popular tool for conducting social research, particularly in the fields of sociology and psychology.
One of the most influential figures in the development of the questionnaire was the psychologist Raymond Cattell, who in the 1940s and 1950s developed the personality questionnaire, a standardized instrument for measuring personality traits. Cattell’s work helped establish the questionnaire as a key tool in personality research.
In the 1960s and 1970s, the use of questionnaires expanded into other fields, including market research, public opinion polling, and health surveys. With the rise of computer technology, questionnaires became easier and more cost-effective to administer, leading to their widespread use in research and business settings.
Today, questionnaires are used in a wide range of settings, including academic research, business, healthcare, and government. They continue to evolve as a research tool, with advances in computer technology and data analysis techniques making it easier to collect and analyze data from large numbers of participants.
Types of Questionnaire
Types of Questionnaires are as follows:
Structured Questionnaire
This type of questionnaire has a fixed format with predetermined questions that the respondent must answer. The questions are usually closed-ended, which means that the respondent must select a response from a list of options.
Unstructured Questionnaire
An unstructured questionnaire does not have a fixed format or predetermined questions. Instead, the interviewer or researcher can ask open-ended questions to the respondent and let them provide their own answers.
Open-ended Questionnaire
An open-ended questionnaire allows the respondent to answer the question in their own words, without any pre-determined response options. The questions usually start with phrases like “how,” “why,” or “what,” and encourage the respondent to provide more detailed and personalized answers.
Close-ended Questionnaire
In a closed-ended questionnaire, the respondent is given a set of predetermined response options to choose from. This type of questionnaire is easier to analyze and summarize, but may not provide as much insight into the respondent’s opinions or attitudes.
Mixed Questionnaire
A mixed questionnaire is a combination of open-ended and closed-ended questions. This type of questionnaire allows for more flexibility in terms of the questions that can be asked, and can provide both quantitative and qualitative data.
Pictorial Questionnaire:
In a pictorial questionnaire, instead of using words to ask questions, the questions are presented in the form of pictures, diagrams or images. This can be particularly useful for respondents who have low literacy skills, or for situations where language barriers exist. Pictorial questionnaires can also be useful in cross-cultural research where respondents may come from different language backgrounds.
Types of Questions in Questionnaire
The types of Questions in Questionnaire are as follows:
Multiple Choice Questions
These questions have several options for participants to choose from. They are useful for getting quantitative data and can be used to collect demographic information.
- a. Red b . Blue c. Green d . Yellow
Rating Scale Questions
These questions ask participants to rate something on a scale (e.g. from 1 to 10). They are useful for measuring attitudes and opinions.
- On a scale of 1 to 10, how likely are you to recommend this product to a friend?
Open-Ended Questions
These questions allow participants to answer in their own words and provide more in-depth and detailed responses. They are useful for getting qualitative data.
- What do you think are the biggest challenges facing your community?
Likert Scale Questions
These questions ask participants to rate how much they agree or disagree with a statement. They are useful for measuring attitudes and opinions.
How strongly do you agree or disagree with the following statement:
“I enjoy exercising regularly.”
- a . Strongly Agree
- c . Neither Agree nor Disagree
- d . Disagree
- e . Strongly Disagree
Demographic Questions
These questions ask about the participant’s personal information such as age, gender, ethnicity, education level, etc. They are useful for segmenting the data and analyzing results by demographic groups.
- What is your age?
Yes/No Questions
These questions only have two options: Yes or No. They are useful for getting simple, straightforward answers to a specific question.
Have you ever traveled outside of your home country?
Ranking Questions
These questions ask participants to rank several items in order of preference or importance. They are useful for measuring priorities or preferences.
Please rank the following factors in order of importance when choosing a restaurant:
- a. Quality of Food
- c. Ambiance
- d. Location
Matrix Questions
These questions present a matrix or grid of options that participants can choose from. They are useful for getting data on multiple variables at once.
Dichotomous Questions
These questions present two options that are opposite or contradictory. They are useful for measuring binary or polarized attitudes.
Do you support the death penalty?
How to Make a Questionnaire
Step-by-Step Guide for Making a Questionnaire:
- Define your research objectives: Before you start creating questions, you need to define the purpose of your questionnaire and what you hope to achieve from the data you collect.
- Choose the appropriate question types: Based on your research objectives, choose the appropriate question types to collect the data you need. Refer to the types of questions mentioned earlier for guidance.
- Develop questions: Develop clear and concise questions that are easy for participants to understand. Avoid leading or biased questions that might influence the responses.
- Organize questions: Organize questions in a logical and coherent order, starting with demographic questions followed by general questions, and ending with specific or sensitive questions.
- Pilot the questionnaire : Test your questionnaire on a small group of participants to identify any flaws or issues with the questions or the format.
- Refine the questionnaire : Based on feedback from the pilot, refine and revise the questionnaire as necessary to ensure that it is valid and reliable.
- Distribute the questionnaire: Distribute the questionnaire to your target audience using a method that is appropriate for your research objectives, such as online surveys, email, or paper surveys.
- Collect and analyze data: Collect the completed questionnaires and analyze the data using appropriate statistical methods. Draw conclusions from the data and use them to inform decision-making or further research.
- Report findings: Present your findings in a clear and concise report, including a summary of the research objectives, methodology, key findings, and recommendations.
Questionnaire Administration Modes
There are several modes of questionnaire administration. The choice of mode depends on the research objectives, sample size, and available resources. Some common modes of administration include:
- Self-administered paper questionnaires: Participants complete the questionnaire on paper, either in person or by mail. This mode is relatively low cost and easy to administer, but it may result in lower response rates and greater potential for errors in data entry.
- Online questionnaires: Participants complete the questionnaire on a website or through email. This mode is convenient for both researchers and participants, as it allows for fast and easy data collection. However, it may be subject to issues such as low response rates, lack of internet access, and potential for fraudulent responses.
- Telephone surveys: Trained interviewers administer the questionnaire over the phone. This mode allows for a large sample size and can result in higher response rates, but it is also more expensive and time-consuming than other modes.
- Face-to-face interviews : Trained interviewers administer the questionnaire in person. This mode allows for a high degree of control over the survey environment and can result in higher response rates, but it is also more expensive and time-consuming than other modes.
- Mixed-mode surveys: Researchers use a combination of two or more modes to administer the questionnaire, such as using online questionnaires for initial screening and following up with telephone interviews for more detailed information. This mode can help overcome some of the limitations of individual modes, but it requires careful planning and coordination.
Example of Questionnaire
Title of the Survey: Customer Satisfaction Survey
Introduction:
We appreciate your business and would like to ensure that we are meeting your needs. Please take a few minutes to complete this survey so that we can better understand your experience with our products and services. Your feedback is important to us and will help us improve our offerings.
Instructions:
Please read each question carefully and select the response that best reflects your experience. If you have any additional comments or suggestions, please feel free to include them in the space provided at the end of the survey.
1. How satisfied are you with our product quality?
- Very satisfied
- Somewhat satisfied
- Somewhat dissatisfied
- Very dissatisfied
2. How satisfied are you with our customer service?
3. How satisfied are you with the price of our products?
4. How likely are you to recommend our products to others?
- Very likely
- Somewhat likely
- Somewhat unlikely
- Very unlikely
5. How easy was it to find the information you were looking for on our website?
- Somewhat easy
- Somewhat difficult
- Very difficult
6. How satisfied are you with the overall experience of using our products and services?
7. Is there anything that you would like to see us improve upon or change in the future?
…………………………………………………………………………………………………………………………..
Conclusion:
Thank you for taking the time to complete this survey. Your feedback is valuable to us and will help us improve our products and services. If you have any further comments or concerns, please do not hesitate to contact us.
Applications of Questionnaire
Some common applications of questionnaires include:
- Research : Questionnaires are commonly used in research to gather information from participants about their attitudes, opinions, behaviors, and experiences. This information can then be analyzed and used to draw conclusions and make inferences.
- Healthcare : In healthcare, questionnaires can be used to gather information about patients’ medical history, symptoms, and lifestyle habits. This information can help healthcare professionals diagnose and treat medical conditions more effectively.
- Marketing : Questionnaires are commonly used in marketing to gather information about consumers’ preferences, buying habits, and opinions on products and services. This information can help businesses develop and market products more effectively.
- Human Resources: Questionnaires are used in human resources to gather information from job applicants, employees, and managers about job satisfaction, performance, and workplace culture. This information can help organizations improve their hiring practices, employee retention, and organizational culture.
- Education : Questionnaires are used in education to gather information from students, teachers, and parents about their perceptions of the educational experience. This information can help educators identify areas for improvement and develop more effective teaching strategies.
Purpose of Questionnaire
Some common purposes of questionnaires include:
- To collect information on attitudes, opinions, and beliefs: Questionnaires can be used to gather information on people’s attitudes, opinions, and beliefs on a particular topic. For example, a questionnaire can be used to gather information on people’s opinions about a particular political issue.
- To collect demographic information: Questionnaires can be used to collect demographic information such as age, gender, income, education level, and occupation. This information can be used to analyze trends and patterns in the data.
- To measure behaviors or experiences: Questionnaires can be used to gather information on behaviors or experiences such as health-related behaviors or experiences, job satisfaction, or customer satisfaction.
- To evaluate programs or interventions: Questionnaires can be used to evaluate the effectiveness of programs or interventions by gathering information on participants’ experiences, opinions, and behaviors.
- To gather information for research: Questionnaires can be used to gather data for research purposes on a variety of topics.
When to use Questionnaire
Here are some situations when questionnaires might be used:
- When you want to collect data from a large number of people: Questionnaires are useful when you want to collect data from a large number of people. They can be distributed to a wide audience and can be completed at the respondent’s convenience.
- When you want to collect data on specific topics: Questionnaires are useful when you want to collect data on specific topics or research questions. They can be designed to ask specific questions and can be used to gather quantitative data that can be analyzed statistically.
- When you want to compare responses across groups: Questionnaires are useful when you want to compare responses across different groups of people. For example, you might want to compare responses from men and women, or from people of different ages or educational backgrounds.
- When you want to collect data anonymously: Questionnaires can be useful when you want to collect data anonymously. Respondents can complete the questionnaire without fear of judgment or repercussions, which can lead to more honest and accurate responses.
- When you want to save time and resources: Questionnaires can be more efficient and cost-effective than other methods of data collection such as interviews or focus groups. They can be completed quickly and easily, and can be analyzed using software to save time and resources.
Characteristics of Questionnaire
Here are some of the characteristics of questionnaires:
- Standardization : Questionnaires are standardized tools that ask the same questions in the same order to all respondents. This ensures that all respondents are answering the same questions and that the responses can be compared and analyzed.
- Objectivity : Questionnaires are designed to be objective, meaning that they do not contain leading questions or bias that could influence the respondent’s answers.
- Predefined responses: Questionnaires typically provide predefined response options for the respondents to choose from, which helps to standardize the responses and make them easier to analyze.
- Quantitative data: Questionnaires are designed to collect quantitative data, meaning that they provide numerical or categorical data that can be analyzed using statistical methods.
- Convenience : Questionnaires are convenient for both the researcher and the respondents. They can be distributed and completed at the respondent’s convenience and can be easily administered to a large number of people.
- Anonymity : Questionnaires can be anonymous, which can encourage respondents to answer more honestly and provide more accurate data.
- Reliability : Questionnaires are designed to be reliable, meaning that they produce consistent results when administered multiple times to the same group of people.
- Validity : Questionnaires are designed to be valid, meaning that they measure what they are intended to measure and are not influenced by other factors.
Advantage of Questionnaire
Some Advantage of Questionnaire are as follows:
- Standardization: Questionnaires allow researchers to ask the same questions to all participants in a standardized manner. This helps ensure consistency in the data collected and eliminates potential bias that might arise if questions were asked differently to different participants.
- Efficiency: Questionnaires can be administered to a large number of people at once, making them an efficient way to collect data from a large sample.
- Anonymity: Participants can remain anonymous when completing a questionnaire, which may make them more likely to answer honestly and openly.
- Cost-effective: Questionnaires can be relatively inexpensive to administer compared to other research methods, such as interviews or focus groups.
- Objectivity: Because questionnaires are typically designed to collect quantitative data, they can be analyzed objectively without the influence of the researcher’s subjective interpretation.
- Flexibility: Questionnaires can be adapted to a wide range of research questions and can be used in various settings, including online surveys, mail surveys, or in-person interviews.
Limitations of Questionnaire
Limitations of Questionnaire are as follows:
- Limited depth: Questionnaires are typically designed to collect quantitative data, which may not provide a complete understanding of the topic being studied. Questionnaires may miss important details and nuances that could be captured through other research methods, such as interviews or observations.
- R esponse bias: Participants may not always answer questions truthfully or accurately, either because they do not remember or because they want to present themselves in a particular way. This can lead to response bias, which can affect the validity and reliability of the data collected.
- Limited flexibility: While questionnaires can be adapted to a wide range of research questions, they may not be suitable for all types of research. For example, they may not be appropriate for studying complex phenomena or for exploring participants’ experiences and perceptions in-depth.
- Limited context: Questionnaires typically do not provide a rich contextual understanding of the topic being studied. They may not capture the broader social, cultural, or historical factors that may influence participants’ responses.
- Limited control : Researchers may not have control over how participants complete the questionnaire, which can lead to variations in response quality or consistency.
About the author
Muhammad Hassan
Researcher, Academic Writer, Web developer
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Your ultimate guide to questionnaires and how to design a good one
The written questionnaire is the heart and soul of any survey research project. Whether you conduct your survey using an online questionnaire, in person, by email or over the phone, the way you design your questionnaire plays a critical role in shaping the quality of the data and insights that you’ll get from your target audience. Keep reading to get actionable tips.
What is a questionnaire?
A questionnaire is a research tool consisting of a set of questions or other ‘prompts’ to collect data from a set of respondents.
When used in most research, a questionnaire will consist of a number of types of questions (primarily open-ended and closed) in order to gain both quantitative data that can be analyzed to draw conclusions, and qualitative data to provide longer, more specific explanations.
A research questionnaire is often mistaken for a survey - and many people use the term questionnaire and survey, interchangeably.
But that’s incorrect.
Which is what we talk about next.
Get started with our free survey maker with 50+ templates
Survey vs. questionnaire – what’s the difference?
Before we go too much further, let’s consider the differences between surveys and questionnaires.
These two terms are often used interchangeably, but there is an important difference between them.
Survey definition
A survey is the process of collecting data from a set of respondents and using it to gather insights.
Survey research can be conducted using a questionnaire, but won’t always involve one.
Questionnaire definition
A questionnaire is the list of questions you circulate to your target audience.
In other words, the survey is the task you’re carrying out, and the questionnaire is the instrument you’re using to do it.
By itself, a questionnaire doesn’t achieve much.
It’s when you put it into action as part of a survey that you start to get results.
Advantages vs disadvantages of using a questionnaire
While a questionnaire is a popular method to gather data for market research or other studies, there are a few disadvantages to using this method (although there are plenty of advantages to using a questionnaire too).
Let’s have a look at some of the advantages and disadvantages of using a questionnaire for collecting data.
Advantages of using a questionnaire
1. questionnaires are relatively cheap.
Depending on the complexity of your study, using a questionnaire can be cost effective compared to other methods.
You simply need to write your survey questionnaire, and send it out and then process the responses.
You can set up an online questionnaire relatively easily, or simply carry out market research on the street if that’s the best method.
2. You can get and analyze results quickly
Again depending on the size of your survey you can get results back from a questionnaire quickly, often within 24 hours of putting the questionnaire live.
It also means you can start to analyze responses quickly too.
3. They’re easily scalable
You can easily send an online questionnaire to anyone in the world and with the right software you can quickly identify your target audience and your questionnaire to them.
4. Questionnaires are easy to analyze
If your questionnaire design has been done properly, it’s quick and easy to analyze results from questionnaires once responses start to come back.
This is particularly useful with large scale market research projects.
Because all respondents are answering the same questions, it’s simple to identify trends.
5. You can use the results to make accurate decisions
As a research instrument, a questionnaire is ideal for commercial research because the data you get back is from your target audience (or ideal customers) and the information you get back on their thoughts, preferences or behaviors allows you to make business decisions.
6. A questionnaire can cover any topic
One of the biggest advantages of using questionnaires when conducting research is (because you can adapt them using different types and styles of open ended questions and closed ended questions) they can be used to gather data on almost any topic.
There are many types of questionnaires you can design to gather both quantitative data and qualitative data - so they’re a useful tool for all kinds of data analysis.
Disadvantages of using a questionnaire
1. respondents could lie.
This is by far the biggest risk with a questionnaire, especially when dealing with sensitive topics.
Rather than give their actual opinion, a respondent might feel pressured to give the answer they deem more socially acceptable, which doesn’t give you accurate results.
2. Respondents might not answer every question
There are all kinds of reasons respondents might not answer every question, from questionnaire length, they might not understand what’s being asked, or they simply might not want to answer it.
If you get questionnaires back without complete responses it could negatively affect your research data and provide an inaccurate picture.
3. They might interpret what’s being asked incorrectly
This is a particular problem when running a survey across geographical boundaries and often comes down to the design of the survey questionnaire.
If your questions aren’t written in a very clear way, the respondent might misunderstand what’s being asked and provide an answer that doesn’t reflect what they actually think.
Again this can negatively affect your research data.
4. You could introduce bias
The whole point of producing a questionnaire is to gather accurate data from which decisions can be made or conclusions drawn.
But the data collected can be heavily impacted if the researchers accidentally introduce bias into the questions.
This can be easily done if the researcher is trying to prove a certain hypothesis with their questionnaire, and unwittingly write questions that push people towards giving a certain answer.
In these cases respondents’ answers won’t accurately reflect what is really happening and stop you gathering more accurate data.
5. Respondents could get survey fatigue
One issue you can run into when sending out a questionnaire, particularly if you send them out regularly to the same survey sample, is that your respondents could start to suffer from survey fatigue.
In these circumstances, rather than thinking about the response options in the questionnaire and providing accurate answers, respondents could start to just tick boxes to get through the questionnaire quickly.
Again, this won’t give you an accurate data set.
Questionnaire design: How to do it
It’s essential to carefully craft a questionnaire to reduce survey error and optimize your data . The best way to think about the questionnaire is with the end result in mind.
How do you do that?
Start with questions, like:
- What is my research purpose ?
- What data do I need?
- How am I going to analyze that data?
- What questions are needed to best suit these variables?
Once you have a clear idea of the purpose of your survey, you’ll be in a better position to create an effective questionnaire.
Here are a few steps to help you get into the right mindset.
1. Keep the respondent front and center
A survey is the process of collecting information from people, so it needs to be designed around human beings first and foremost.
In his post about survey design theory, David Vannette, PhD, from the Qualtrics Methodology Lab explains the correlation between the way a survey is designed and the quality of data that is extracted.
“To begin designing an effective survey, take a step back and try to understand what goes on in your respondents’ heads when they are taking your survey.
This step is critical to making sure that your questionnaire makes it as likely as possible that the response process follows that expected path.”
From writing the questions to designing the survey flow, the respondent’s point of view should always be front and center in your mind during a questionnaire design.
2. How to write survey questions
Your questionnaire should only be as long as it needs to be, and every question needs to deliver value.
That means your questions must each have an individual purpose and produce the best possible data for that purpose, all while supporting the overall goal of the survey.
A question must also must be phrased in a way that is easy for all your respondents to understand, and does not produce false results.
To do this, remember the following principles:
Get into the respondent's head
The process for a respondent answering a survey question looks like this:
- The respondent reads the question and determines what information they need to answer it.
- They search their memory for that information.
- They make judgments about that information.
- They translate that judgment into one of the answer options you’ve provided. This is the process of taking the data they have and matching that information with the question that’s asked.
When wording questions, make sure the question means the same thing to all respondents. Words should have one meaning, few syllables, and the sentences should have few words.
Only use the words needed to ask your question and not a word more .
Note that it’s important that the respondent understands the intent behind your question.
If they don’t, they may answer a different question and the data can be skewed.
Some contextual help text, either in the introduction to the questionnaire or before the question itself, can help make sure the respondent understands your goals and the scope of your research.
Use mutually exclusive responses
Be sure to make your response categories mutually exclusive.
Consider the question:
What is your age?
Respondents that are 31 years old have two options, as do respondents that are 40 and 55. As a result, it is impossible to predict which category they will choose.
This can distort results and frustrate respondents. It can be easily avoided by making responses mutually exclusive.
The following question is much better:
This question is clear and will give us better results.
Ask specific questions
Nonspecific questions can confuse respondents and influence results.
Do you like orange juice?
- Like very much
- Neither like nor dislike
- Dislike very much
This question is very unclear. Is it asking about taste, texture, price, or the nutritional content? Different respondents will read this question differently.
A specific question will get more specific answers that are actionable.
How much do you like the current price of orange juice?
This question is more specific and will get better results.
If you need to collect responses about more than one aspect of a subject, you can include multiple questions on it. (Do you like the taste of orange juice? Do you like the nutritional content of orange juice? etc.)
Use a variety of question types
If all of your questionnaire, survey or poll questions are structured the same way (e.g. yes/no or multiple choice) the respondents are likely to become bored and tune out. That could mean they pay less attention to how they’re answering or even give up altogether.
Instead, mix up the question types to keep the experience interesting and varied. It’s a good idea to include questions that yield both qualitative and quantitative data.
For example, an open-ended questionnaire item such as “describe your attitude to life” will provide qualitative data – a form of information that’s rich, unstructured and unpredictable. The respondent will tell you in their own words what they think and feel.
A quantitative / close-ended questionnaire item, such as “Which word describes your attitude to life? a) practical b) philosophical” gives you a much more structured answer, but the answers will be less rich and detailed.
Open-ended questions take more thought and effort to answer, so use them sparingly. They also require a different kind of treatment once your survey is in the analysis stage.
3. Pre-test your questionnaire
Always pre-test a questionnaire before sending it out to respondents. This will help catch any errors you might have missed. You could ask a colleague, friend, or an expert to take the survey and give feedback. If possible, ask a few cognitive questions like, “how did you get to that response?” and “what were you thinking about when you answered that question?” Figure out what was easy for the responder and where there is potential for confusion. You can then re-word where necessary to make the experience as frictionless as possible.
If your resources allow, you could also consider using a focus group to test out your survey. Having multiple respondents road-test the questionnaire will give you a better understanding of its strengths and weaknesses. Match the focus group to your target respondents as closely as possible, for example in terms of age, background, gender, and level of education.
Note: Don't forget to make your survey as accessible as possible for increased response rates.
Questionnaire examples and templates
There are free questionnaire templates and example questions available for all kinds of surveys and market research, many of them online. But they’re not all created equal and you should use critical judgement when selecting one. After all, the questionnaire examples may be free but the time and energy you’ll spend carrying out a survey are not.
If you’re using online questionnaire templates as the basis for your own, make sure it has been developed by professionals and is specific to the type of research you’re doing to ensure higher completion rates. As we’ve explored here, using the wrong kinds of questions can result in skewed or messy data, and could even prompt respondents to abandon the questionnaire without finishing or give thoughtless answers.
You’ll find a full library of downloadable survey templates in the Qualtrics Marketplace , covering many different types of research from employee engagement to post-event feedback . All are fully customizable and have been developed by Qualtrics experts.
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With insights from Qualtrics, organizations can identify and resolve the greatest friction points in their business, retain and engage top talent, and bring the right products and services to market. Nearly 20,000 organizations around the world use Qualtrics’ advanced AI to listen, understand, and take action. Qualtrics uses its vast universe of experience data to form the largest database of human sentiment in the world. Qualtrics is co-headquartered in Provo, Utah and Seattle.
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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.
To develop a questionnaire for research, identify the main objective of your research to act as the focal point for the questionnaire. Then, choose the type of questions that you want to include, and come up with succinct, straightforward questions to gather the information that you need to answer your questions.
The questions usually start with phrases like “how,” “why,” or “what,” and encourage the respondent to provide more detailed and personalized answers. Close-ended Questionnaire. In a closed-ended questionnaire, the respondent is given a set of predetermined response options to choose from.
Frequently Asked Questions. The Role of Questionnaires in Research. So, what is a questionnaire? A questionnaire is a structured set of questions designed to collect information, opinions, attitudes, or behaviors from respondents. It is one of the most commonly used data collection methods in research.
This paper aims to review the main steps to design a questionnaire introducing the process that starts with defining the information required for a study, then continues with the identification...
When used in most research, a questionnaire will consist of a number of types of questions (primarily open-ended and closed) in order to gain both quantitative data that can be analyzed to draw conclusions, and qualitative data to provide longer, more specific explanations.