Questionnaire Method In Research

Saul Mcleod, PhD

Editor-in-Chief for Simply Psychology

BSc (Hons) Psychology, MRes, PhD, University of Manchester

Saul Mcleod, Ph.D., is a qualified psychology teacher with over 18 years experience of working in further and higher education. He has been published in peer-reviewed journals, including the Journal of Clinical Psychology.

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Olivia Guy-Evans, MSc

Associate Editor for Simply Psychology

BSc (Hons) Psychology, MSc Psychology of Education

Olivia Guy-Evans is a writer and associate editor for Simply Psychology. She has previously worked in healthcare and educational sectors.

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A questionnaire is a research instrument consisting of a series of questions for the purpose of gathering information from respondents. Questionnaires can be thought of as a kind of written interview . They can be carried out face to face, by telephone, computer, or post.

Questionnaires provide a relatively cheap, quick, and efficient way of obtaining large amounts of information from a large sample of people.

Questionnaire

Data can be collected relatively quickly because the researcher would not need to be present when completing the questionnaires. This is useful for large populations when interviews would be impractical.

However, a problem with questionnaires is that respondents may lie due to social desirability. Most people want to present a positive image of themselves, and may lie or bend the truth to look good, e.g., pupils exaggerate revision duration.

Questionnaires can effectively measure relatively large subjects’ behavior, attitudes, preferences, opinions, and intentions more cheaply and quickly than other methods.

Often, a questionnaire uses both open and closed questions to collect data. This is beneficial as it means both quantitative and qualitative data can be obtained.

Closed Questions

A closed-ended question requires a specific, limited response, often “yes” or “no” or a choice that fit into pre-decided categories.

Data that can be placed into a category is called nominal data. The category can be restricted to as few as two options, i.e., dichotomous (e.g., “yes” or “no,” “male” or “female”), or include quite complex lists of alternatives from which the respondent can choose (e.g., polytomous).

Closed questions can also provide ordinal data (which can be ranked). This often involves using a continuous rating scale to measure the strength of attitudes or emotions.

For example, strongly agree / agree / neutral / disagree / strongly disagree / unable to answer.

Closed questions have been used to research type A personality (e.g., Friedman & Rosenman, 1974) and also to assess life events that may cause stress (Holmes & Rahe, 1967) and attachment (Fraley, Waller, & Brennan, 2000).

  • They can be economical. This means they can provide large amounts of research data for relatively low costs. Therefore, a large sample size can be obtained, which should represent the population from which a researcher can then generalize.
  • The respondent provides information that can be easily converted into quantitative data (e.g., count the number of “yes” or “no” answers), allowing statistical analysis of the responses.
  • The questions are standardized. All respondents are asked exactly the same questions in the same order. This means a questionnaire can be replicated easily to check for reliability . Therefore, a second researcher can use the questionnaire to confirm consistent results.

Limitations

  • They lack detail. Because the responses are fixed, there is less scope for respondents to supply answers that reflect their true feelings on a topic.

Open Questions

Open questions allow for expansive, varied answers without preset options or limitations.

Open questions allow people to express what they think in their own words. Open-ended questions enable the respondent to answer in as much detail as they like in their own words. For example: “can you tell me how happy you feel right now?”

Open questions will work better if you want to gather more in-depth answers from your respondents. These give no pre-set answer options and instead, allow the respondents to put down exactly what they like in their own words.

Open questions are often used for complex questions that cannot be answered in a few simple categories but require more detail and discussion.

Lawrence Kohlberg presented his participants with moral dilemmas. One of the most famous concerns a character called Heinz, who is faced with the choice between watching his wife die of cancer or stealing the only drug that could help her.

Participants were asked whether Heinz should steal the drug or not and, more importantly, for their reasons why upholding or breaking the law is right.

  • Rich qualitative data is obtained as open questions allow respondents to elaborate on their answers. This means the research can determine why a person holds a certain attitude .
  • Time-consuming to collect the data. It takes longer for the respondent to complete open questions. This is a problem as a smaller sample size may be obtained.
  • Time-consuming to analyze the data. It takes longer for the researcher to analyze qualitative data as they have to read the answers and try to put them into categories by coding, which is often subjective and difficult. However, Smith (1992) has devoted an entire book to the issues of thematic content analysis that includes 14 different scoring systems for open-ended questions.
  • Not suitable for less educated respondents as open questions require superior writing skills and a better ability to express one’s feelings verbally.

Questionnaire Design

With some questionnaires suffering from a response rate as low as 5%, a questionnaire must be well designed.

There are several important factors in questionnaire design.

Pilot Study

Question order.

Questions should progress logically from the least sensitive to the most sensitive, from the factual and behavioral to the cognitive, and from the more general to the more specific.

The researcher should ensure that previous questions do not influence the answer to a question.

Question order effects

  • Question order effects occur when responses to an earlier question affect responses to a later question in a survey. They can arise at different stages of the survey response process – interpretation, information retrieval, judgment/estimation, and reporting.
  • Types of question order effects include: unconditional (subsequent answers affected by prior question topic), conditional (subsequent answers depend on the response to the prior question), and associational (correlation between two questions changes based on order).
  • Question order effects have been found across different survey topics like social and political attitudes, health and safety studies, vignette research, etc. Effects may be moderated by respondent factors like age, education level, knowledge and attitudes about the topic.
  • To minimize question order effects, recommendations include avoiding judgmental dependencies, separating potentially reactive questions, randomizing questions, following good survey design principles, considering respondent characteristics, and intentionally examining question context and order.

Terminology

  • There should be a minimum of technical jargon. Questions should be simple, to the point, and easy to understand. The language of a questionnaire should be appropriate to the vocabulary of the group of people being studied.
  • Use statements that are interpreted in the same way by members of different subpopulations of the population of interest.
  • For example, the researcher must change the language of questions to match the social background of the respondent’s age / educational level / social class/ethnicity, etc.

Presentation

Ethical issues.

  • The researcher must ensure that the information provided by the respondent is kept confidential, e.g., name, address, etc.
  • This means questionnaires are good for researching sensitive topics as respondents will be more honest when they cannot be identified.
  • Keeping the questionnaire confidential should also reduce the likelihood of psychological harm, such as embarrassment.
  • Participants must provide informed consent before completing the questionnaire and must be aware that they have the right to withdraw their information at any time during the survey/ study.

Problems with Postal Questionnaires

At first sight, the postal questionnaire seems to offer the opportunity to get around the problem of interview bias by reducing the personal involvement of the researcher. Its other practical advantages are that it is cheaper than face-to-face interviews and can quickly contact many respondents scattered over a wide area.

However, these advantages must be weighed against the practical problems of conducting research by post. A lack of involvement by the researcher means there is little control over the information-gathering process.

The data might not be valid (i.e., truthful) as we can never be sure that the questionnaire was completed by the person to whom it was addressed.

That, of course, assumes there is a reply in the first place, and one of the most intractable problems of mailed questionnaires is a low response rate. This diminishes the reliability of the data

Also, postal questionnaires may not represent the population they are studying. This may be because:

  • Some questionnaires may be lost in the post, reducing the sample size.
  • The questionnaire may be completed by someone not a member of the research population.
  • Those with strong views on the questionnaire’s subject are more likely to complete it than those without interest.

Benefits of a Pilot Study

A pilot study is a practice / small-scale study conducted before the main study.

It allows the researcher to try out the study with a few participants so that adjustments can be made before the main study, saving time and money.

It is important to conduct a questionnaire pilot study for the following reasons:

  • Check that respondents understand the terminology used in the questionnaire.
  • Check that emotive questions are not used, as they make people defensive and could invalidate their answers.
  • Check that leading questions have not been used as they could bias the respondent’s answer.
  • Ensure the questionnaire can be completed in an appropriate time frame (i.e., it’s not too long).

Frequently Asked Questions 

How do psychological researchers analyze the data collected from questionnaires.

Psychological researchers analyze questionnaire data by looking for patterns and trends in people’s responses. They use numbers and charts to summarize the information.

They calculate things like averages and percentages to see what most people think or feel. They also compare different groups to see if there are any differences between them.

By doing these analyses, researchers can understand how people think, feel, and behave. This helps them make conclusions and learn more about how our minds work.

Are questionnaires effective in gathering accurate data?

Yes, questionnaires can be effective in gathering accurate data. When designed well, with clear and understandable questions, they allow individuals to express their thoughts, opinions, and experiences.

However, the accuracy of the data depends on factors such as the honesty and accuracy of respondents’ answers, their understanding of the questions, and their willingness to provide accurate information. Researchers strive to create reliable and valid questionnaires to minimize biases and errors.

It’s important to remember that while questionnaires can provide valuable insights, they are just one tool among many used in psychological research.

Can questionnaires be used with diverse populations and cultural contexts?

Yes, questionnaires can be used with diverse populations and cultural contexts. Researchers take special care to ensure that questionnaires are culturally sensitive and appropriate for different groups.

This means adapting the language, examples, and concepts to match the cultural context. By doing so, questionnaires can capture the unique perspectives and experiences of individuals from various backgrounds.

This helps researchers gain a more comprehensive understanding of human behavior and ensures that everyone’s voice is heard and represented in psychological research.

Are questionnaires the only method used in psychological research?

No, questionnaires are not the only method used in psychological research. Psychologists use a variety of research methods, including interviews, observations , experiments , and psychological tests.

Each method has its strengths and limitations, and researchers choose the most appropriate method based on their research question and goals.

Questionnaires are valuable for gathering self-report data, but other methods allow researchers to directly observe behavior, study interactions, or manipulate variables to test hypotheses.

By using multiple methods, psychologists can gain a more comprehensive understanding of human behavior and mental processes.

What is a semantic differential scale?

The semantic differential scale is a questionnaire format used to gather data on individuals’ attitudes or perceptions. It’s commonly incorporated into larger surveys or questionnaires to assess subjective qualities or feelings about a specific topic, product, or concept by quantifying them on a scale between two bipolar adjectives.

It presents respondents with a pair of opposite adjectives (e.g., “happy” vs. “sad”) and asks them to mark their position on a scale between them, capturing the intensity of their feelings about a particular subject.

It quantifies subjective qualities, turning them into data that can be statistically analyzed.

Ayidiya, S. A., & McClendon, M. J. (1990). Response effects in mail surveys. Public Opinion Quarterly, 54 (2), 229–247. https://doi.org/10.1086/269200

Fraley, R. C., Waller, N. G., & Brennan, K. A. (2000). An item-response theory analysis of self-report measures of adult attachment. Journal of Personality and Social Psychology, 78, 350-365.

Friedman, M., & Rosenman, R. H. (1974). Type A behavior and your heart . New York: Knopf.

Gold, R. S., & Barclay, A. (2006). Order of question presentation and correlation between judgments of comparative and own risk. Psychological Reports, 99 (3), 794–798. https://doi.org/10.2466/PR0.99.3.794-798

Holmes, T. H., & Rahe, R. H. (1967). The social readjustment rating scale. Journal of psychosomatic research, 11(2) , 213-218.

Schwarz, N., & Hippler, H.-J. (1995). Subsequent questions may influence answers to preceding questions in mail surveys. Public Opinion Quarterly, 59 (1), 93–97. https://doi.org/10.1086/269460

Smith, C. P. (Ed.). (1992). Motivation and personality: Handbook of thematic content analysis . Cambridge University Press.

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Home » Questionnaire – Definition, Types, and Examples

Questionnaire – Definition, Types, and Examples

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Questionnaire

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.

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Questionnaire: The ultimate guide, advantages & examples

What is a Questionnaire: Examples, Characteristics, Types and Design

What is a Questionnaire?

A questionnaire is a research instrument that consists of a set of questions or other types of prompts that aims to collect information from a respondent. A research questionnaire is typically a mix of close-ended questions  and  open-ended questions .

Open-ended, long-form questions offer the respondent the ability to elaborate on their thoughts. Research questionnaires were developed in 1838 by the Statistical Society of London.

LEARN ABOUT: Candidate Experience Survey

The data collected from a data collection questionnaire can be both  qualitative  as well as  quantitative  in nature. A questionnaire may or may not be delivered in the form of a  survey , but a survey always consists of a questionnaire.

LEARN ABOUT: Testimonial Questions

Advantages of a good questionnaire design

  • With a survey questionnaire, you can gather a lot of data in less time.
  • There is less chance of any bias(like selection bias ) creeping if you have a standard set of questions to be used for your target audience. You can apply logic to questions based on the respondents’ answers, but the questionnaire will remain standard for a group of respondents that fall in the same segment.
  • Surveying online survey software is quick and cost-effective. It offers you a rich set of features to design, distribute, and analyze the response data.
  • It can be customized to reflect your brand voice. Thus, it can be used to reinforce your brand image.
  • The responses can be compared with the historical data and understand the shift in respondents’ choices and experiences.
  • Respondents can answer the questionnaire without revealing their identity. Also, many survey software complies with significant data security and privacy regulations.

LEARN ABOUT: Structured Questionnaire

adventages of online questionnarie

Characteristics of a good questionnaire

Your survey design depends on the type of information you need to collect from respondents. Qualitative questionnaires are used when there is a need to collect exploratory information to help prove or disprove a hypothesis. Quantitative questionnaires are used to validate or test a previously generated hypothesis. However, most questionnaires follow some essential characteristics:

  • Uniformity:  Questionnaires are very useful to collect demographic information, personal opinions, facts, or attitudes from respondents. One of the most significant attributes of a research form is uniform design and standardization. Every respondent sees the same questions. This helps in  data collection  and  statistical analysis  of this data. For example, the  retail store evaluation questionnaire template  contains questions for evaluating retail store experiences. Questions relate to purchase value, range of options for product selections, and quality of merchandise. These questions are uniform for all customers.

LEARN ABOUT: Research Process Steps

  • Exploratory:  It should be exploratory to collect qualitative data. There is no restriction on questions that can be in your questionnaire. For example, you use a data collection questionnaire and send it to the female of the household to understand her spending and saving habits relative to the household income. Open-ended questions give you more insight and allow the respondents to explain their practices. A very structured question list could limit the data collection.

LEARN ABOUT: Best Data Collection Tools

  • Question Sequence:  It typically follows a structured flow of questions to increase the number of responses. This sequence of questions is screening questions , warm-up questions, transition questions, skip questions, challenging questions, and classification questions. For example, our  motivation and buying experience questionnaire template  covers initial demographic questions and then asks for time spent in sections of the store and the rationale behind purchases.

Types & Definitions

As we explored before, questionnaires can be either structured or free-flowing. Let’s take a closer look at what that entails for your surveys.

  • Structured Questionnaires:  Structured questionnaires collect  quantitative data . The questionnaire is planned and designed to gather precise information. It also initiates a formal inquiry, supplements data, checks previously accumulated data, and helps validate any prior hypothesis.
  • Unstructured Questionnaires:  Unstructured questionnaires collect  qualitative data . They use a basic structure and some branching questions but nothing that limits the responses of a respondent. The questions are more open-ended to collect specific data from participants.

Types of questions in a questionnaire

You can use multiple question types in a questionnaire. Using various question types can help increase responses to your research questionnaire as they tend to keep participants more engaged. The best customer satisfaction survey templates are the most commonly used for better insights and decision-making.

Some of the widely used  types of questions  are:

  • Open-Ended Questions:   Open-ended questions  help collect qualitative data in a questionnaire where the respondent can answer in a free form with little to no restrictions.
  • Dichotomous Questions:  The  dichotomous question  is generally a “yes/no”  close-ended question . This question is usually used in case of the need for necessary validation. It is the most natural form of a questionnaire.
  • Multiple-Choice Questions:   Multiple-choice questions  are a close-ended question type in which a respondent has to select one (single-select multiple-choice question) or many (multi-select multiple choice question) responses from a given list of options. The multiple-choice question consists of an incomplete stem (question), right answer or answers, incorrect answers, close alternatives, and distractors. Of course, not all multiple-choice questions have all of the answer types. For example, you probably won’t have the wrong or right answers if you’re looking for customer opinion.
  • Scaling Questions:  These questions are based on the principles of the four measurement scales –  nominal, ordinal, interval, and ratio . A few of the question types that utilize these scales’ fundamental properties are  rank order questions ,  Likert scale questions ,  semantic differential scale questions , and  Stapel scale questions .

LEARN ABOUT: System Usability Scale

  • Pictorial Questions:  This question type is easy to use and encourages respondents to answer. It works similarly to a multiple-choice question. Respondents are asked a question, and the answer choices are images. This helps respondents choose an answer quickly without over-thinking their answers, giving you more accurate data.

Types of Questionnaires

Types of Questionnaires Based on Distribution

Questionnaires can be administered or distributed in the following forms:

  • Online Questionnaire : In this type, respondents are sent the questionnaire via email or other online mediums. This method is generally cost-effective and time-efficient. Respondents can also answer at leisure. Without the pressure to respond immediately, responses may be more accurate. The disadvantage, however, is that respondents can easily ignore these questionnaires. Read more about online surveys .
  • Telephone Questionnaire:  A researcher makes a phone call to a respondent to collect responses directly. Responses are quick once you have a respondent on the phone. However, a lot of times, the respondents hesitate to give out much information over the phone. It is also an expensive way of conducting research. You’re usually not able to collect as many responses as other types of questionnaires, so your sample may not represent the broader population.
  • In-House Questionnaire:  This type is used by a researcher who visits the respondent’s home or workplace. The advantage of this method is that the respondent is in a comfortable and natural environment, and in-depth data can be collected. The disadvantage, though, is that it is expensive and slow to conduct.

LEARN ABOUT: Survey Sample Sizes

  • Mail Questionnaire:  These are starting to be obsolete but are still being used in some  market research studies. This method involves a researcher sending a physical data collection questionnaire request to a respondent that can be filled in and sent back. The advantage of this method is that respondents can complete this on their own time to answer truthfully and entirely. The disadvantage is that this method is expensive and time-consuming. There is also a high risk of not collecting enough responses to make actionable insights from the data.

How to design a Questionnaire

Questionnaire Design

Questionnaire design is a multistep process that requires attention to detail at every step.

Researchers are always hoping that the responses received for a survey questionnaire yield useable data. If the questionnaire is too complicated, there is a fair chance that the respondent might get confused and will drop out or answer inaccurately.

LEARN ABOUT: Easy Test Maker

As a  survey creator , you may want to pre-test the survey by administering it to a focus group during development. You can try out a few different questionnaire designs to determine which resonates best with your target audience. Pre-testing is a good practice as the survey creator can comprehend the initial stages if there are any changes required in the survey .

Steps Involved in Questionnaire Design

1. identify the scope of your research:.

Think about what your questionnaire is going to include before you start designing the look of it. The clarity of the topic is of utmost importance as this is the primary step in creating the questionnaire. Once you are clear on the purpose of the questionnaire, you can begin the design process.

LEARN ABOUT:  Social Communication Questionnaire

2. Keep it simple:

The words or phrases you use while writing the questionnaire must be easy to understand. If the questions are unclear, the respondents may simply choose any answer and skew the data you collect.

3. Ask only one question at a time:

At times, a researcher may be tempted to add two similar questions. This might seem like an excellent way to consolidate answers to related issues, but it can confuse your respondents or lead to inaccurate data. If any of your questions contain the word “and,” take another look. This question likely has two parts, which can affect the quality of your data.

4. Be flexible with your options:

While designing, the survey creator needs to be flexible in terms of “option choice” for the respondents. Sometimes the respondents may not necessarily want to choose from the answer options provided by the survey creator. An “other” option often helps keep respondents engaged in the survey.

5. The open-ended or closed-ended question is a tough choice:

The survey creator might end up in a situation where they need to make distinct choices between open or close-ended questions. The question type should be carefully chosen as it defines the tone and importance of asking the question in the first place.

If the questionnaire requires the respondents to elaborate on their thoughts, an  open-ended q u estion  is the best choice. If the surveyor wants a specific response, then close-ended questions should be their primary choice. The key to asking closed-ended questions is to generate data that is easy to analyze and spot trends.

6. It is essential to know your audience:

A researcher should know their target audience. For example, if the target audience speaks mostly Spanish, sending the questionnaire in any other language would lower the response rate and accuracy of data. Something that may seem clear to you may be confusing to your respondents. Use simple language and terminology that your respondents will understand, and avoid technical jargon and industry-specific language that might confuse your respondents.

For efficient market research, researchers need a representative sample collected using one of the many  sampling techniques , such as a sample questionnaire. It is imperative to plan and define these target respondents based on the demographics  required.

7. Choosing the right tool is essential: 

QuestionPro is a simple yet advanced survey software platform that the surveyors can use to create a questionnaire or choose from the already existing 300+ questionnaire templates.

Always save personal questions for last. Sensitive questions may cause respondents to drop off before completing. If these questions are at the end, the respondent has had time to become more comfortable with the interview and are more likely to answer personal or demographic questions.

Differences between a Questionnaire and a Survey

Read more: Difference between a survey and a questionnaire

Questionnaire Examples

The best way to understand how questionnaires work is to see the types of questionnaires available. Some examples of a questionnaire are:

USE THIS FREE TEMPLATE

The above survey questions are typically easy to use, understand, and execute. Additionally, the standardized answers of a survey questionnaire instead of a person-to-person conversation make it easier to compile useable data.

The most significant limitation of a data collection questionnaire is that respondents need to read all of the questions and respond to them. For example, you send an invitation through email asking respondents to complete the questions on social media. If a target respondent doesn’t have the right social media profiles, they can’t answer your questions.

Learn More: 350+ Free Survey Examples and Templates

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Questionnaires

Questionnaires can be used qualitatively or quantitatively. As with all other methods, the value of the questionnaire depends on its ability to provide data which can answer the research question, and the way that a questionnaire is designed and worded can be significant in this. A questionnaire designed to capture levels of student satisfaction may well provide information to this end, but for researchers interested in more than this, such measures could amount to little more than superficial data. Careful consideration needs to be given to what the questionnaire is intended to elicit, and so – depending on their study – some researchers might find it more useful to use pre-existing standardised questionnaires based on validated scales such as those used to measure self-efficacy (Bandura, 2006) or agency (Tapal et al., 2017).

Guidance for developing questionnaires using self-efficacy scales [pdf]

"The questionnaire is a widely used and useful instrument for collecting survey information, providing structured – often numerical – data, able to be administrated without the presence of the researcher and often comparatively straightforward to analyse. These attractions have to be counterbalanced by the time taken to develop, pilot and refine the questionnaire, by the possible unsophistication and limited and superficial scope of the data that are collected […]. The researcher will have to judge the appropriateness of using a questionnaire for data collection, and, if so, what kind of questionnaire it should be." Cohen, Manion and Morrison, 2018, p.471

Cohen, Manion and Morrison (2018) provide a comprehensive overview of the different issues and stages involved in questionnaire design and it is important that each of these is given full consideration from the outset. These issues include:

  • Intended population/sample – as this can influence the form, wording and means of administrating the questionnaire
  • Intended method of data analysis – to ensure that questions are framed appropriately
  • Type of questionnaire: structured/closed, semi-structured or “unstructured”
  • Question/response types – e.g. dichotomous questions, multiple choice, Likert/rating scales, constant sum, rank ordering, open ended
  • Wording of questions – e.g. need for clarity, risk of leading responses
  • Opportunity to pilot and revise questionnaire

As with all educational research, attention must be given to the particular ethical and practical considerations involved in this particular type of research. For many researchers, online survey tools such as Qualtrics provide a convenient means of administering questionnaires but these require attention to particular considerations – which Cohen, Manion and Morrison (2018) provide further detailed guidance on in Chapter 18.

Quantitative questionnaire design

A key priority with quantitative questionnaire design is to be clear from the outset exactly what it is you want to measure, why you want to do this and whether your proposed design is actually going to generate the sort of data you need. Do you want, for instance, to generate inferential or just descriptive statistics? Different question types lend themselves to different scales of data (rating scales to ordinal data, for instance) so thinking ahead to the analysis is an essential part of the design phase. Equally, if a pre- and post- study design is deemed appropriate, then the essential principles of experimental design need to be factored into the design and administration of the questionnaires.

Qualitative questionnaire design

If your area of research renders it necessary to obtain qualitative data, it might be worth considering in the first instance if interviews or focus groups might provide a more appropriate means of eliciting this. Self-completion questionnaires do not provide scope for probing further if questions are left unanswered or incomplete, and participants can vary enormously in terms of the time they are prepared to devote and the amount they are prepared to write in completing open text questionnaires. If questionnaires are most appropriate, however, then the general principles of good questionnaire design (layout, wording, ordering and so on) need to be considered alongside the practicality and feasibility of completing the questionnaire from the participants’ point of view.

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How to Develop a Questionnaire for Research

Last Updated: December 4, 2022 Fact Checked

wikiHow is a “wiki,” similar to Wikipedia, which means that many of our articles are co-written by multiple authors. To create this article, 24 people, some anonymous, worked to edit and improve it over time. There are 13 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 583,953 times. Learn more...

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

Step 1 Identify the goal of 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.

Step 2 Choose your question type or types.

  • 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.”

Step 3 Develop questions for your questionnaire.

  • 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. [7] X Research source This can help you gather important data even if you sense that your respondents may be becoming distracted by the end of the questionnaire.

Step 4 Restrict the length of your questionnaire.

  • Only include questions that are directly useful to your research question. [9] 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.

Step 5 Identify your target demographic.

  • 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.

Step 6 Ensure you can protect privacy.

  • 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

Step 1 Introduce yourself.

  • 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.

Step 2 Explain the purpose of the questionnaire.

  • 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.

Step 3 Reveal what will happen with the data you collect.

  • 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. [12] X Research source

Step 4 Estimate how long the questionnaire will take.

  • 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.

Step 5 Describe any incentives that may be involved.

  • 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. [13] 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. [14] 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. [15] 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.

Step 6 Make sure your questionnaire looks professional.

  • 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

Step 1 Do a pilot study.

  • 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?

Step 2 Disseminate your 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. [19] 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.

Step 3 Include a deadline.

  • 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. [20] X Research source

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  • ↑ 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.monash.edu.au/lls/hdr/design/2.4.3.html
  • ↑ 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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How to Design Effective Research Questionnaires for Robust Findings

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As a staple in data collection, questionnaires help uncover robust and reliable findings that can transform industries, shape policies, and revolutionize understanding. Whether you are exploring societal trends or delving into scientific phenomena, the effectiveness of your research questionnaire can make or break your findings.

In this article, we aim to understand the core purpose of questionnaires, exploring how they serve as essential tools for gathering systematic data, both qualitative and quantitative, from diverse respondents. Read on as we explore the key elements that make up a winning questionnaire, the art of framing questions which are both compelling and rigorous, and the careful balance between simplicity and depth.

Table of Contents

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. Moreover, questionnaires can be used in various research fields, including social sciences, market research, healthcare, education, and psychology. Their adaptability makes them suitable for investigating diverse research questions.

Questionnaire and survey  are two terms often used interchangeably, but they have distinct meanings in the context of research. A survey refers to the broader process of data collection that may involve various methods. A survey can encompass different data collection techniques, such as interviews , focus groups, observations, and yes, questionnaires.

Pros and Cons of Using Questionnaires in Research:

While questionnaires offer numerous advantages in research, they also come with some disadvantages that researchers must be aware of and address appropriately. Careful questionnaire design, validation, and consideration of potential biases can help mitigate these disadvantages and enhance the effectiveness of using questionnaires as a data collection method.

how do questionnaires help in research

Structured vs Unstructured Questionnaires

Structured questionnaire:.

A structured questionnaire consists of questions with predefined response options. Respondents are presented with a fixed set of choices and are required to select from those options. The questions in a structured questionnaire are designed to elicit specific and quantifiable responses. Structured questionnaires are particularly useful for collecting quantitative data and are often employed in surveys and studies where standardized and comparable data are necessary.

Advantages of Structured Questionnaires:

  • Easy to analyze and interpret: The fixed response options facilitate straightforward data analysis and comparison across respondents.
  • Efficient for large-scale data collection: Structured questionnaires are time-efficient, allowing researchers to collect data from a large number of respondents.
  • Reduces response bias: The predefined response options minimize potential response bias and maintain consistency in data collection.

Limitations of Structured Questionnaires:

  • Lack of depth: Structured questionnaires may not capture in-depth insights or nuances as respondents are limited to pre-defined response choices. Hence, they may not reveal the reasons behind respondents’ choices, limiting the understanding of their perspectives.
  • Limited flexibility: The fixed response options may not cover all potential responses, therefore, potentially restricting respondents’ answers.

Unstructured Questionnaire:

An unstructured questionnaire consists of questions that allow respondents to provide detailed and unrestricted responses. Unlike structured questionnaires, there are no predefined response options, giving respondents the freedom to express their thoughts in their own words. Furthermore, unstructured questionnaires are valuable for collecting qualitative data and obtaining in-depth insights into respondents’ experiences, opinions, or feelings.

Advantages of Unstructured Questionnaires:

  • Rich qualitative data: Unstructured questionnaires yield detailed and comprehensive qualitative data, providing valuable and novel insights into respondents’ perspectives.
  • Flexibility in responses: Respondents have the freedom to express themselves in their own words. Hence, allowing for a wide range of responses.

Limitations of Unstructured Questionnaires:

  • Time-consuming analysis: Analyzing open-ended responses can be time-consuming, since, each response requires careful reading and interpretation.
  • Subjectivity in interpretation: The analysis of open-ended responses may be subjective, as researchers interpret and categorize responses based on their judgment.
  • May require smaller sample size: Due to the depth of responses, researchers may need a smaller sample size for comprehensive analysis, making generalizations more challenging.

Types of Questions in a Questionnaire

In a questionnaire, researchers typically use the following most common types of questions to gather a variety of information from respondents:

1. Open-Ended Questions:

These questions allow respondents to provide detailed and unrestricted responses in their own words. Open-ended questions are valuable for gathering qualitative data and in-depth insights.

Example: What suggestions do you have for improving our product?

2. Multiple-Choice Questions

Respondents choose one answer from a list of provided options. This type of question is suitable for gathering categorical data or preferences.

Example: Which of the following social media/academic networking platforms do you use to promote your research?

  • ResearchGate
  • Academia.edu

3. Dichotomous Questions

Respondents choose between two options, typically “yes” or “no”, “true” or “false”, or “agree” or “disagree”.

Example: Have you ever published in open access journals before?

4. Scaling Questions

These questions, also known as rating scale questions, use a predefined scale that allows respondents to rate or rank their level of agreement, satisfaction, importance, or other subjective assessments. These scales help researchers quantify subjective data and make comparisons across respondents.

There are several types of scaling techniques used in scaling questions:

i. Likert Scale:

The Likert scale is one of the most common scaling techniques. It presents respondents with a series of statements and asks them to rate their level of agreement or disagreement using a range of options, typically from “strongly agree” to “strongly disagree”.For example: Please indicate your level of agreement with the statement: “The content presented in the webinar was relevant and aligned with the advertised topic.”

  • Strongly Agree
  • Strongly Disagree

ii. Semantic Differential Scale:

The semantic differential scale measures respondents’ perceptions or attitudes towards an item using opposite adjectives or bipolar words. Respondents rate the item on a scale between the two opposites. For example:

  • Easy —— Difficult
  • Satisfied —— Unsatisfied
  • Very likely —— Very unlikely

iii. Numerical Rating Scale:

This scale requires respondents to provide a numerical rating on a predefined scale. It can be a simple 1 to 5 or 1 to 10 scale, where higher numbers indicate higher agreement, satisfaction, or importance.

iv. Ranking Questions:

Respondents rank items in order of preference or importance. Ranking questions help identify preferences or priorities.

Example: Please rank the following features of our app in order of importance (1 = Most Important, 5 = Least Important):

  • User Interface
  • Functionality
  • Customer Support

By using a mix of question types, researchers can gather both quantitative and qualitative data, providing a comprehensive understanding of the research topic and enabling meaningful analysis and interpretation of the results. The choice of question types depends on the research objectives , the desired depth of information, and the data analysis requirements.

Methods of Administering Questionnaires

There are several methods for administering questionnaires, and the choice of method depends on factors such as the target population, research objectives , convenience, and resources available. Here are some common methods of administering questionnaires:

how do questionnaires help in research

Each method has its advantages and limitations. Online surveys offer convenience and a large reach, but they may be limited to individuals with internet access. Face-to-face interviews allow for in-depth responses but can be time-consuming and costly. Telephone surveys have broad reach but may be limited by declining response rates. Researchers should choose the method that best suits their research objectives, target population, and available resources to ensure successful data collection.

How to Design a Questionnaire

Designing a good questionnaire is crucial for gathering accurate and meaningful data that aligns with your research objectives. Here are essential steps and tips to create a well-designed questionnaire:

how do questionnaires help in research

1. Define Your Research Objectives : Clearly outline the purpose and specific information you aim to gather through the questionnaire.

2. Identify Your Target Audience : Understand respondents’ characteristics and tailor the questionnaire accordingly.

3. Develop the Questions :

  • Write Clear and Concise Questions
  • Avoid Leading or Biasing Questions
  • Sequence Questions Logically
  • Group Related Questions
  • Include Demographic Questions

4. Provide Well-defined Response Options : Offer exhaustive response choices for closed-ended questions.

5. Consider Skip Logic and Branching : Customize the questionnaire based on previous answers.

6. Pilot Test the Questionnaire : Identify and address issues through a pilot study .

7. Seek Expert Feedback : Validate the questionnaire with subject matter experts.

8. Obtain Ethical Approval : Comply with ethical guidelines , obtain consent, and ensure confidentiality before administering the questionnaire.

9. Administer the Questionnaire : Choose the right mode and provide clear instructions.

10. Test the Survey Platform : Ensure compatibility and usability for online surveys.

By following these steps and paying attention to questionnaire design principles, you can create a well-structured and effective questionnaire that gathers reliable data and helps you achieve your research objectives.

Characteristics of a Good Questionnaire

A good questionnaire possesses several essential elements that contribute to its effectiveness. Furthermore, these characteristics ensure that the questionnaire is well-designed, easy to understand, and capable of providing valuable insights. Here are some key characteristics of a good questionnaire:

1. Clarity and Simplicity : Questions should be clear, concise, and unambiguous. Avoid using complex language or technical terms that may confuse respondents. Simple and straightforward questions ensure that respondents interpret them consistently.

2. Relevance and Focus : Each question should directly relate to the research objectives and contribute to answering the research questions. Consequently, avoid including extraneous or irrelevant questions that could lead to data clutter.

3. Mix of Question Types : Utilize a mix of question types, including open-ended, Likert scale, and multiple-choice questions. This variety allows for both qualitative and quantitative data collections .

4. Validity and Reliability : Ensure the questionnaire measures what it intends to measure (validity) and produces consistent results upon repeated administration (reliability). Validation should be conducted through expert review and previous research.

5. Appropriate Length : Keep the questionnaire’s length appropriate and manageable to avoid respondent fatigue or dropouts. Long questionnaires may result in incomplete or rushed responses.

6. Clear Instructions : Include clear instructions at the beginning of the questionnaire to guide respondents on how to complete it. Explain any technical terms, formats, or concepts if necessary.

7. User-Friendly Format : Design the questionnaire to be visually appealing and user-friendly. Use consistent formatting, adequate spacing, and a logical page layout.

8. Data Validation and Cleaning : Incorporate validation checks to ensure data accuracy and reliability. Consider mechanisms to detect and correct inconsistent or missing responses during data cleaning.

By incorporating these characteristics, researchers can create a questionnaire that maximizes data quality, minimizes response bias, and provides valuable insights for their research.

In the pursuit of advancing research and gaining meaningful insights, investing time and effort into designing effective questionnaires is a crucial step. A well-designed questionnaire is more than a mere set of questions; it is a masterpiece of precision and ingenuity. Each question plays a vital role in shaping the narrative of our research, guiding us through the labyrinth of data to meaningful conclusions. Indeed, a well-designed questionnaire serves as a powerful tool for unlocking valuable insights and generating robust findings that impact society positively.

Have you ever designed a research questionnaire? Reflect on your experience and share your insights with researchers globally through Enago Academy’s Open Blogging Platform . Join our diverse community of 1000K+ researchers and authors to exchange ideas, strategies, and best practices, and together, let’s shape the future of data collection and maximize the impact of questionnaires in the ever-evolving landscape of research.

Frequently Asked Questions

A research questionnaire is a structured tool used to gather data from participants in a systematic manner. It consists of a series of carefully crafted questions designed to collect specific information related to a research study.

Questionnaires play a pivotal role in both quantitative and qualitative research, enabling researchers to collect insights, opinions, attitudes, or behaviors from respondents. This aids in hypothesis testing, understanding, and informed decision-making, ensuring consistency, efficiency, and facilitating comparisons.

Questionnaires are a versatile tool employed in various research designs to gather data efficiently and comprehensively. They find extensive use in both quantitative and qualitative research methodologies, making them a fundamental component of research across disciplines. Some research designs that commonly utilize questionnaires include: a) Cross-Sectional Studies b) Longitudinal Studies c) Descriptive Research d) Correlational Studies e) Causal-Comparative Studies f) Experimental Research g) Survey Research h) Case Studies i) Exploratory Research

A survey is a comprehensive data collection method that can include various techniques like interviews and observations. A questionnaire is a specific set of structured questions within a survey designed to gather standardized responses. While a survey is a broader approach, a questionnaire is a focused tool for collecting specific data.

The choice of questionnaire type depends on the research objectives, the type of data required, and the preferences of respondents. Some common types include: • Structured Questionnaires: These questionnaires consist of predefined, closed-ended questions with fixed response options. They are easy to analyze and suitable for quantitative research. • Semi-Structured Questionnaires: These questionnaires combine closed-ended questions with open-ended ones. They offer more flexibility for respondents to provide detailed explanations. • Unstructured Questionnaires: These questionnaires contain open-ended questions only, allowing respondents to express their thoughts and opinions freely. They are commonly used in qualitative research.

Following these steps ensures effective questionnaire administration for reliable data collection: • Choose a Method: Decide on online, face-to-face, mail, or phone administration. • Online Surveys: Use platforms like SurveyMonkey • Pilot Test: Test on a small group before full deployment • Clear Instructions: Provide concise guidelines • Follow-Up: Send reminders if needed

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Thank you, Riya. This is quite helpful. As discussed, response bias is one of the disadvantages in the use of questionnaires. One way to help limit this can be to use scenario based questions. These type of questions may help the respondents to be more reflective and active in the process.

Thank you, Dear Riya. This is quite helpful.

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When should AI tools be used in university labs?

What Is a Questionnaire and How Is It Used in Research?

2022-06-29 Market Research

The importance of questionnaires in research is immense, helping researchers gain relevant information quickly and effectively. Before creating a questionnaire for your study, you should first understand the meaning of questionnaires and the advantages and disadvantages of using them.

What Is a Questionnaire?

A questionnaire is a research tool featuring a series of questions used to collect useful information from respondents. These instruments include either written or oral questions and comprise an interview-style format. Questionnaires may be qualitative or quantitative and can be conducted online, by phone, on paper or face-to-face, and questions don’t necessarily have to be administered with a researcher present.

Questionnaires feature either open or closed questions and sometimes employ a mixture of both. Open-ended questions enable respondents to answer in their own words in as much or as little detail as they desire. Closed questions provide respondents with a series of predetermined responses they can choose from.

Is “Questionnaire” Just Another Word for “Survey”?

While the two terms seem synonymous, there are not quite the same. A questionnaire is a set of questions created for the purpose of gathering information; that information may not be used for a survey. However, all surveys  do  require questionnaires. If you are using a questionnaire for survey sampling, it’s important to ensure that it is designed to gather the most accurate answers from respondents.

Why Are Questionnaires Effective in Research?

Questionnaires are popular  research methods  because they offer a fast, efficient and inexpensive means of gathering large amounts of information from sizeable sample volumes. These tools are particularly effective for measuring subject behavior, preferences, intentions, attitudes and opinions. Their use of open and closed research questions enables researchers to obtain both qualitative and quantitative data, resulting in more comprehensive results.

Pros and Cons of Using Questionnaires in Research

Though the importance of questionnaires in research is clear, there are both pros and cons to using these instruments to gather information. Learn more about questionnaire advantages and disadvantages to determine if they’re suitable for your study.

Advantages of Questionnaires

Some of the many benefits of using questionnaires as a research tool include:

  • Practicality:  Questionnaires enable researchers to strategically manage their target audience, questions and format while gathering large data quantities on any subject.
  • Cost-efficiency: You don’t need to hire surveyors to deliver your survey questions — instead, you can place them on your website or email them to respondents at little to no cost.
  • Speed:  You can gather survey results quickly and effortlessly using mobile tools, obtaining responses and insights in 24 hours or less.
  • Comparability:  Researchers can use the same questionnaire yearly and compare and contrast research results to gain valuable insights and minimize translation errors.
  • Scalability:  Questionnaires are highly scalable, allowing researchers to distribute them to demographics anywhere across the globe.
  • Standardization:  You can standardize your questionnaire with as many questions as you want about any topic.
  • Respondent comfort: When taking a questionnaire, respondents are completely anonymous and not subject to stressful time constraints, helping them feel relaxed and encouraging them to provide truthful responses.
  • Easy analysis:  Questionnaires often have built-in tools that automate analyses, making it fast and easy to interpret your results.

Disadvantages of Questionnaires

Questionnaires also have their disadvantages, such as:

  • Answer dishonesty: Respondents may not always be completely truthful with their answers — some may have hidden agendas, while others may answer how they think society would deem most acceptable.
  • Question skipping:  Make sure to require answers for all your survey questions. Otherwise, you may run the risk of respondents leaving questions unanswered.
  • Interpretation difficulties:  If a question isn’t straightforward enough, respondents may struggle to interpret it accurately. That’s why it’s important to state questions clearly and concisely, with explanations when necessary.
  • Survey fatigue:  Respondents may experience survey fatigue if they receive too many surveys or a questionnaire is too long.
  • Analysis challenges:  Though closed questions are easy to analyze, open questions require a human to review and interpret them. Try limiting open-ended questions in your survey to gain more quantifiable data you can evaluate and utilize more quickly.
  • Unconscientious responses:  If respondents don’t read your questions thoroughly or completely, they may offer inaccurate answers that can impact data validity. You can minimize this risk by making questions as short and simple as possible.

Types of Questionnaires in Research

There are various types of questionnaires in survey research, including:

  • Postal:  Postal questionnaires are paper surveys that participants receive through the mail. Once respondents complete the survey, they mail them back to the organization that sent them.
  • In-house:  In this type of questionnaire, researchers visit respondents in their homes or workplaces and administer the survey in person.
  • Telephone:  With telephone surveys, researchers call respondents and conduct the questionnaire over the phone.
  • Electronic:  Perhaps the most common type of questionnaire, electronic surveys are presented via email or through a different online medium.

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how do questionnaires help in research

Market Research

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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Over 12,000 enterprises worldwide, including more than 75 percent of the Fortune 100 and 99 of the top 100 U.S. business schools, rely on Qualtrics to consistently build products that people love, create more loyal customers, develop a phenomenal employee culture, and build iconic brands.

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Research-Methodology

Questionnaires

Questionnaires can be classified as both, quantitative and qualitative method depending on the nature of questions. Specifically, answers obtained through closed-ended questions (also called restricted questions) with multiple choice answer options are analyzed using quantitative methods. Research findings in this case can be illustrated using tabulations, pie-charts, bar-charts and percentages.

Answers obtained to open-ended questionnaire questions (also known as unrestricted questions), on the other hand, are analyzed using qualitative methods. Primary data collected using open-ended questionnaires involve discussions and critical analyses without use of numbers and calculations.

There are following types of questionnaires:

Computer questionnaire . Respondents are asked to answer the questionnaire which is sent by mail. The advantages of the computer questionnaires include their inexpensive price, time-efficiency, and respondents do not feel pressured, therefore can answer when they have time, giving more accurate answers. However, the main shortcoming of the mail questionnaires is that sometimes respondents do not bother answering them and they can just ignore the questionnaire.

Telephone questionnaire .  Researcher may choose to call potential respondents with the aim of getting them to answer the questionnaire. The advantage of the telephone questionnaire is that, it can be completed during the short amount of time. The main disadvantage of the phone questionnaire is that it is expensive most of the time. Moreover, most people do not feel comfortable to answer many questions asked through the phone and it is difficult to get sample group to answer questionnaire over the phone.

In-house survey .  This type of questionnaire involves the researcher visiting respondents in their houses or workplaces. The advantage of in-house survey is that more focus towards the questions can be gained from respondents. However, in-house surveys also have a range of disadvantages which include being time consuming, more expensive and respondents may not wish to have the researcher in their houses or workplaces for various reasons.

Mail Questionnaire . This sort of questionnaires involve the researcher to send the questionnaire list to respondents through post, often attaching pre-paid envelope. Mail questionnaires have an advantage of providing more accurate answer, because respondents can answer the questionnaire in their spare time. The disadvantages associated with mail questionnaires include them being expensive, time consuming and sometimes they end up in the bin put by respondents.

Questionnaires can include the following types of questions:

Open question questionnaires . Open questions differ from other types of questions used in questionnaires in a way that open questions may produce unexpected results, which can make the research more original and valuable. However, it is difficult to analyze the results of the findings when the data is obtained through the questionnaire with open questions.

Multiple choice question s. Respondents are offered a set of answers they have to choose from. The downsize of questionnaire with multiple choice questions is that, if there are too many answers to choose from, it makes the questionnaire, confusing and boring, and discourages the respondent to answer the questionnaire.

Dichotomous Questions .  Thes type of questions gives two options to respondents – yes or no, to choose from. It is the easiest form of questionnaire for the respondent in terms of responding it.

Scaling Questions . Also referred to as ranking questions, they present an option for respondents to rank the available answers to questions on the scale of given range of values (for example from 1 to 10).

For a standard 15,000-20,000 word business dissertation including 25-40 questions in questionnaires will usually suffice. Questions need be formulated in an unambiguous and straightforward manner and they should be presented in a logical order.

Questionnaires as primary data collection method offer the following advantages:

  • Uniformity: all respondents are asked exactly the same questions
  • Cost-effectiveness
  • Possibility to collect the primary data in shorter period of time
  • Minimum or no bias from the researcher during the data collection process
  • Usually enough time for respondents to think before answering questions, as opposed to interviews
  • Possibility to reach respondents in distant areas through online questionnaire

At the same time, the use of questionnaires as primary data collection method is associated with the following shortcomings:

  • Random answer choices by respondents without properly reading the question.
  • In closed-ended questionnaires no possibility for respondents to express their additional thoughts about the matter due to the absence of a relevant question.
  • Collecting incomplete or inaccurate information because respondents may not be able to understand questions correctly.
  • High rate of non-response

Survey Monkey represents one of the most popular online platforms for facilitating data collection through questionnaires. Substantial benefits offered by Survey Monkey include its ease to use, presentation of questions in many different formats and advanced data analysis capabilities.

Questionnaires

Survey Monkey as a popular platform for primary data collection

There are other alternatives to Survey Monkey you might want to consider to use as a platform for your survey. These include but not limited to Jotform, Google Forms, Lime Survey, Crowd Signal, Survey Gizmo, Zoho Survey and many others.

My  e-book,  The Ultimate Guide to Writing a Dissertation in Business Studies: a step by step approach  contains a detailed, yet simple explanation of quantitative methods. The e-book explains all stages of the research process starting from the selection of the research area to writing personal reflection. Important elements of dissertations such as research philosophy, research approach, research design, methods of data collection and data analysis are explained in simple words.

John Dudovskiy

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80 fascinating psychology research questions for your next project

Last updated

15 February 2024

Reviewed by

Jean Kaluza

Psychology research is essential for furthering our understanding of human behavior and improving the diagnosis and treatment of psychological conditions.

When psychologists know more about how different social and cultural factors influence how humans act, think, and feel, they can recommend improvements to practices in areas such as education, sport, healthcare, and law enforcement.

Below, you will find 80 research question examples across 16 branches of psychology. First, though, let’s look at some tips to help you select a suitable research topic.

  • How to choose a good psychology research topic

Psychology has many branches that break down further into topics. Choosing a topic for your psychology research paper can be daunting because there are so many to choose from. It’s an important choice, as the topic you select will open up a range of questions to explore.

The tips below can help you find a psychology research topic that suits your skills and interests.

Tip #1: Select a topic that interests you

Passion and interest should fuel every research project. A topic that fascinates you will most likely interest others as well. Think about the questions you and others might have and decide on the issues that matter most. Draw on your own interests, but also keep your research topical and relevant to others.

Don’t limit yourself to a topic that you already know about. Instead, choose one that will make you want to know more and dig deeper. This will keep you motivated and excited about your research.

Tip #2: Choose a topic with a manageable scope

If your topic is too broad, you can get overwhelmed by the amount of information available and have trouble maintaining focus. On the other hand, you may find it difficult to find enough information if you choose a topic that is too narrow.

To determine if the topic is too broad or too narrow, start researching as early as possible. If you find there’s an overwhelming amount of research material, you’ll probably need to narrow the topic down. For example, instead of researching the general population, it might be easier to focus on a specific age group. Ask yourself what area of the general topic interests you most and focus on that.

If your scope is too narrow, try to generalize or focus on a larger related topic. Expand your search criteria or select additional databases for information. Consider if the topic is too new to have much information published on it as well.

Tip #3: Select a topic that will produce useful and relevant insights

Doing some preliminary research will reveal any existing research on the topic. If there is existing research, will you be able to produce new insights? You might need to focus on a different area or see if the existing research has limitations that you can overcome.

Bear in mind that finding new information from which to draw fresh insights may be impossible if your topic has been over-researched.

You’ll also need to consider whether your topic is relevant to current trends and needs. For example, researching psychology topics related to social media use may be highly relevant today.

  • 80 psychology research topics and questions

Psychology is a broad subject with many branches and potential areas of study. Here are some of them:

Developmental

Personality

Experimental

Organizational

Educational

Neuropsychology

Controversial topics

Below we offer some suggestions on research topics and questions that can get you started. Keep in mind that these are not all-inclusive but should be personalized to fit the theme of your paper.

Social psychology research topics and questions

Social psychology has roots as far back as the 18th century. In simple terms, it’s the study of how behavior is influenced by the presence and behavior of others. It is the science of finding out who we are, who we think we are, and how our perceptions affect ourselves and others. It looks at personalities, relationships, and group behavior.

Here are some potential research questions and paper titles for this topic:

How does social media use impact perceptions of body image in male adolescents?

2. Is childhood bullying a risk factor for social anxiety in adults?

Is homophobia in individuals caused by genetic or environmental factors?

What is the most important psychological predictor of a person’s willingness to donate to charity?

Does a person’s height impact how other people perceive them? If so, how?

Cognitive psychology research questions

Cognitive psychology is the branch that focuses on the interactions of thinking, emotion, creativity, and problem-solving. It also explores the reasons humans think the way they do.

This topic involves exploring how people think by measuring intelligence, thoughts, and cognition. 

Here are some research question ideas:

6. Is there a link between chronic stress and memory function?

7. Can certain kinds of music trigger memories in people with memory loss?

8. Do remote meetings impact the efficacy of team decision-making?

9. Do word games and puzzles slow cognitive decline in adults over the age of 80?

10. Does watching television impact a child’s reading ability?

Developmental psychology research questions

Developmental psychology is the study of how humans grow and change over their lifespan. It usually focuses on the social, emotional, and physical development of babies and children, though it can apply to people of all ages. Developmental psychology is important for understanding how we learn, mature, and adapt to changes.

Here are some questions that might inspire your research:

11. Does grief accelerate the aging process?

12. How do parent–child attachment patterns influence the development of emotion regulation in teenagers?

13. Does bilingualism affect cognitive decline in adults over the age of 70?

14. How does the transition to adulthood impact decision-making abilities

15. How does early exposure to music impact mental health and well-being in school-aged children?

Personality psychology research questions

Personality psychology studies personalities, how they develop, their structures, and the processes that define them. It looks at intelligence, disposition, moral beliefs, thoughts, and reactions.

The goal of this branch of psychology is to scientifically interpret the way personality patterns manifest into an individual’s behaviors. Here are some example research questions:

16. Nature vs. nurture: Which impacts personality development the most?

17. The role of genetics on personality: Does an adopted child take on their biological parents’ personality traits?

18. How do personality traits influence leadership styles and effectiveness in organizational settings?

19. Is there a relationship between an individual’s personality and mental health?

20. Can a chronic illness affect your personality?

Abnormal psychology research questions

As the name suggests, abnormal psychology is a branch that focuses on abnormal behavior and psychopathology (the scientific study of mental illness or disorders).

Abnormal behavior can be challenging to define. Who decides what is “normal”? As such, psychologists in this area focus on the level of distress that certain behaviors may cause, although this typically involves studying mental health conditions such as depression, obsessive-compulsive disorder (OCD), and phobias.

Here are some questions to consider:

21. How does technology impact the development of social anxiety disorder?

22. What are the factors behind the rising incidence of eating disorders in adolescents?

23. Are mindfulness-based interventions effective in the treatment of PTSD?

24. Is there a connection between depression and gambling addiction?

25. Can physical trauma cause psychopathy?

Clinical psychology research questions

Clinical psychology deals with assessing and treating mental illness or abnormal or psychiatric behaviors. It differs from abnormal psychology in that it focuses more on treatments and clinical aspects, while abnormal psychology is more behavioral focused.

This is a specialty area that provides care and treatment for complex mental health conditions. This can include treatment, not only for individuals but for couples, families, and other groups. Clinical psychology also supports communities, conducts research, and offers training to promote mental health. This category is very broad, so there are lots of topics to explore.

Below are some example research questions to consider:

26. Do criminals require more specific therapies or interventions?

27. How effective are selective serotonin reuptake inhibitors in treating mental health disorders?

28. Are there any disadvantages to humanistic therapy?

29. Can group therapy be more beneficial than one-on-one therapy sessions?

30. What are the factors to consider when selecting the right treatment plan for patients with anxiety?

Experimental psychology research questions

Experimental psychology deals with studies that can prove or disprove a hypothesis. Psychologists in this field use scientific methods to collect data on basic psychological processes such as memory, cognition, and learning. They use this data to test the whys and hows of behavior and how outside factors influence its creation.

Areas of interest in this branch relate to perception, memory, emotion, and sensation. The below are example questions that could inspire your own research:

31. Do male or female parents/carers have a more calming influence on children?

32. Will your preference for a genre of music increase the more you listen to it?

33. What are the psychological effects of posting on social media vs. not posting?

34. How is productivity affected by social connection?

35. Is cheating contagious?

Organizational psychology research questions

Organizational psychology studies human behavior in the workplace. It is most frequently used to evaluate an employee, group, or a company’s organizational dynamics. Researchers aim to isolate issues and identify solutions.

This area of study can be beneficial to both employees and employers since the goal is to improve the overall work environment and experience. Researchers apply psychological principles and findings to recommend improvements in performance, communication, job satisfaction, and safety. 

Some potential research questions include the following:

36. How do different leadership styles affect employee morale?

37. Do longer lunch breaks boost employee productivity?

3 8. Is gender an antecedent to workplace stress?

39. What is the most effective way to promote work–life balance among employees?

40. How do different organizational structures impact the effectiveness of communication, decision-making, and productivity?

Forensic psychology research questions

Forensic psychology research aims to provide professional psychological expertise within the legal and judicial systems. Forensic psychologists apply clinical developmental, cognitive, and social psychology to legal situations,using theories, principles, and research methods to better understand legal issues and functions.

Some questions to consider exploring in this branch of psychology are:

41. How does incarceration affect mental health?

42. Is childhood trauma a driver for criminal behavior during adulthood?

43. Are people with mental health conditions more likely to be victims of crimes?

44. What are the drivers of false memories, and how do they impact the justice system?

45. Is the media responsible for copycat crimes?

Educational psychology research questions

Educational psychology studies children in an educational setting. It covers topics like teaching methods, aptitude assessment, self-motivation, technology, and parental involvement.

Research in this field of psychology is vital for understanding and optimizing learning processes. It informs educators about cognitive development, learning styles, and effective teaching strategies.

Here are some example research questions:

46. Are different teaching styles more beneficial for children at different times of the day?

47. Can listening to classical music regularly increase a student’s test scores?

48. Is there a connection between sugar consumption and knowledge retention in students?

49. Does sleep duration and quality impact academic performance?

50. Does daily meditation at school influence students’ academic performance and mental health?

Sports psychology research question examples

Sport psychology aims to optimize physical performance and well-being in athletes by using cognitive and behavioral practices and interventions. Some methods include counseling, training, and clinical interventions.

Research in this area is important because it can improve team and individual performance, resilience, motivation, confidence, and overall well-being

Here are some research question ideas for you to consider:

51. How can a famous coach affect a team’s performance?

52. How can athletes control negative emotions in violent or high-contact sports?

53. How does using social media impact an athlete’s performance and well-being?

54. Can psychological interventions help with injury rehabilitation?

55. How can mindfulness practices boost sports performance?

Cultural psychology research question examples

The premise of this branch of psychology is that mind and culture are inseparable. In other words, people are shaped by their cultures, and their cultures are shaped by them. This can be a complex interaction.

Cultural psychology is vital as it explores how cultural context shapes individuals’ thoughts, behaviors, and perceptions. It provides insights into diverse perspectives, promoting cross-cultural understanding and reducing biases.

Here are some ideas that you might consider researching:

56. Are there cultural differences in how people perceive and deal with pain?

57. Are different cultures at increased risk of developing mental health conditions?

58. Are there cultural differences in coping strategies for stress?

59. Do our different cultures shape our personalities?

60. How does multi-generational culture influence family values and structure?

Health psychology research question examples

Health psychology is a crucial field of study. Understanding how psychological factors influence health behaviors, adherence to medical treatments, and overall wellness enables health experts to develop effective interventions and preventive measures, ultimately improving health outcomes.

Health psychology also aids in managing stress, promoting healthy behaviors, and optimizing mental health, fostering a holistic approach to well-being.

Here are five ideas to inspire research in this field:

61. How can health psychology interventions improve lifestyle behaviors to prevent cardiovascular diseases?

62. What role do social norms play in vaping among adolescents?

63. What role do personality traits play in the development and management of chronic pain conditions?

64. How do cultural beliefs and attitudes influence health-seeking behaviors in diverse populations?

65. What are the psychological factors influencing the adherence to preventive health behaviors, such as vaccination and regular screenings?

Neuropsychology research paper question examples

Neuropsychology research explores how a person’s cognition and behavior are related to their brain and nervous system. Researchers aim to advance the diagnosis and treatment of behavioral and cognitive effects of neurological disorders.

Researchers may work with children facing learning or developmental challenges, or with adults with declining cognitive abilities. They may also focus on injuries or illnesses of the brain, such as traumatic brain injuries, to determine the effect on cognitive and behavioral functions.

Neuropsychology informs diagnosis and treatment strategies for conditions such as dementia, traumatic brain injuries, and psychiatric disorders. Understanding the neural basis of behavior enhances our ability to optimize cognitive functioning, rehabilitate people with brain injuries, and improve patient care.

Here are some example research questions to consider:

66. How do neurotransmitter imbalances in specific brain regions contribute to mood disorders such as depression?

67. How can a traumatic brain injury affect memory?

68. What neural processes underlie attention deficits in people with ADHD?

69. Do medications affect the brain differently after a traumatic brain injury?

70. What are the behavioral effects of prolonged brain swelling?

Psychology of religion research question examples

The psychology of religion is a field that studies the interplay between belief systems, spirituality, and mental well-being. It explores the application of the psychological methods and interpretive frameworks of religious traditions and how they relate to both religious and non-religious people.

Psychology of religion research contributes to a holistic understanding of human experiences. It fosters cultural competence and guides therapeutic approaches that respect diverse spiritual beliefs.

Here are some example research questions in this field:

71. What impact does a religious upbringing have on a child’s self-esteem?

72. How do religious beliefs shape decision-making and perceptions of morality?

73. What is the impact of religious indoctrination?

74. Is there correlation between religious and mindfulness practices?

75. How does religious affiliation impact attitudes towards mental health treatment and help-seeking behaviors?

Controversial topics in psychology research question examples

Some psychology topics don’t fit into any of the subcategories above, but they may still be worthwhile topics to consider. These topics are the ones that spark interest, conversation, debate, and disagreement. They are often inspired by current issues and assess the validity of older research.

Consider some of these research question examples:

76. How does the rise in on-screen violence impact behavior in adolescents.

77. Should access to social media platforms be restricted in children under the age of 12 to improve mental health?

78. Are prescription mental health medications over-prescribed in older adults? If so, what are the effects of this?

79. Cognitive biases in AI: what are the implications for decision-making?

80. What are the psychological and ethical implications of using virtual reality in exposure therapy for treating trauma-related conditions?

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What does it mean to claim the US is a Christian nation, and what does the Constitution say?

FILE - A statue of Benjamin Franklin is seen at The Franklin Institute, Feb. 10, 2015, in Philadelphia. Franklin, like some other key founders, admired Jesus as a moral teacher but would not pass a test of Christian orthodoxy. (AP Photo/Matt Rourke, File)

FILE - A statue of Benjamin Franklin is seen at The Franklin Institute, Feb. 10, 2015, in Philadelphia. Franklin, like some other key founders, admired Jesus as a moral teacher but would not pass a test of Christian orthodoxy. (AP Photo/Matt Rourke, File)

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Many Americans believe the United States was founded as a Christian nation, and the idea is energizing some conservative and Republican activists. But the concept means different things to different people, and historians say that while the issue is complex, the founding documents prioritize religious freedom and do not create a Christian nation.

Does the U.S. Constitution establish Christianity as an official religion?

What does the constitution say about religion.

“(N)o religious Test shall ever be required as a Qualification to any Office or public Trust under the United States.” (Article VI)

“Congress shall make no law respecting an establishment of religion, or prohibiting the free exercise thereof.” (First Amendment)

FILE- President Joe Biden, with from left, House Minority Leader Hakeem Jeffries, D-N.Y., and House Speaker Mike Johnson of La., pray and listen during the National Prayer Breakfast, Thursday, Feb. 1, 2024, at the Capitol in Washington. Johnson has spoken in the past of his belief America was founded as a Christian nation. Biden, while citing his own Catholic faith, has spoken of values shared by people of “any other faith, or no faith at all.” (AP Photo/J. Scott Applewhite, File)

If it says “Congress,” does the First Amendment apply to the states?

It does now. Early in the republic, some states officially sponsored particular churches, such as the Congregational Church in Connecticut and Massachusetts. Within a few decades, all had removed such support. The post-Civil War 14th Amendment guaranteed all U.S. citizens “equal protection of the laws” and said states couldn’t impede on their “privileges or immunities” without due process. In the 20th century, the Supreme Court applied that to a number of First Amendment cases involving religion, saying states couldn’t forbid public proselytizing, reimburse funding for religious education or sponsor prayer in public schools.

What does it mean to say America is a Christian nation?

It depends on whom you ask. Some believe God worked to bring European Christians to America in the 1600s and secure their independence in the 1700s. Some take the Puritan settlers at their word that they were forming a covenant with God, similar to the Bible’s description of ancient Israel, and see America as still subject to divine blessings or punishments depending on how faithful it is. Still others contend that some or all the American founders were Christian, or that the founding documents were based on Christianity.

That’s a lot to unpack. Let’s start at the top. What about the colonies?

Several had Christian language in their founding documents, such as Massachusetts, with established churches lasting decades after independence. Others, such as Rhode Island, offered broader religious freedom. It’s also arguable whether the colonies’ actions lived up to their words, given their histories of religious intolerance and their beginnings of centuries-long African slavery and wars on Native Americans.

What about the founders?

The leaders of the American Revolution and the new republic held a mix of beliefs — some Christian, some Unitarian, some deistic or otherwise theistic. Some key founders, like Benjamin Franklin, admired Jesus as a moral teacher but would fail a test of Christian orthodoxy. Many believed strongly in religious freedom, even as they also believed that religion was essential to maintain a virtuous citizenry.

Were the Declaration of Independence and the Constitution based on Christianity and the Ten Commandments?

References to the Creator and Nature’s God in the Declaration reflect a general theism that could be acceptable to Christians, Unitarians, deists and others. Both documents reflect Enlightenment ideas of natural rights and accountable government. Some also see these documents as influenced, or at least compatible, with Protestant emphasis on such ideas as human sin, requiring checks and balances. In fact, believers in a Christian America were some of the strongest opponents of ratifying the Constitution because of its omission of God references.

Were most early Americans Christian?

Many were and many weren’t. Early church membership was actually quite low, but revivals known as the First and Second Great Awakenings, before and after the Revolution, won a lot of converts. Many scholars see religious freedom as enabling multiple churches to grow and thrive.

Were Catholics considered Christian?

Not by many early Americans. Some state constitutions barred them from office.

How did that change?

Gradually, but by the time of the Cold War, many saw Catholics, Protestants and Jews as God-believing American patriots, allied in the face-off with the atheistic, communist Soviet Union.

Was it only conservatives citing the idea of a Christian nation?

No. Many proponents of the early 20th century social gospel saw their efforts to help the needy as part of building a Christian society. During World War II, President Franklin D. Roosevelt prayed on national radio for God’s blessing “in our united crusade ... over the unholy forces of our enemy.”

The Rev. Martin Luther King Jr. wrote that civil rights protesters stood for “the most sacred values in our Judeo-Christian heritage.”

What do progressive Christians say today?

“Christian nationalism has traditionally employed images that advocate an idealized view of the nation’s identity and mission, while deliberately ignoring those persons who have been excluded, exploited, and persecuted,” said a 2021 statement from the National Council of the Churches of Christ in the USA, an umbrella group that includes multiple progressive denominations.

What do Americans believe about this?

Six in 10 U.S. adults said the founders originally intended America to be a Christian nation, according to a 2022 Pew Research Center survey. Forty-five percent said the U.S. should be a Christian nation, but only a third thought it was one currently.

Among white evangelical Protestants, 81% said the founders intended a Christian nation, and the same number said that the U.S. should be one — but only 23% thought it currently was one, according to Pew.

In a 2021 Pew report, 15% of U.S. adults surveyed said the federal government should declare the U.S. a Christian nation, while 18% said the U.S. Constitution was inspired by God.

One-third of U.S. adults surveyed in 2023 said God intended America to be a promised land for European Christians to set an example to the world, according to a Public Religion Research Institute/Brookings survey. Those who embraced this view were also more likely to dismiss the impact of anti-Black discrimination and more likely to say true patriots may need to act violently to save the country, the survey said.

Sources: Pew Research Center; Public Religion Research Institute/Brookings; “Was America Founded as a Christian Nation?” by John Fea.

Associated Press religion coverage receives support through the AP’s collaboration with The Conversation US, with funding from Lilly Endowment Inc. The AP is solely responsible for this content.

how do questionnaires help in research

Read our research on: Immigration & Migration | Podcasts | Election 2024

Regions & Countries

How americans view the situation at the u.s.-mexico border, its causes and consequences, 80% say the u.s. government is doing a bad job handling the migrant influx.

how do questionnaires help in research

Pew Research Center conducted this study to understand the public’s views about the large number of migrants seeking to enter the U.S. at the border with Mexico. For this analysis, we surveyed 5,140 adults from Jan. 16-21, 2024. Everyone who took part in this survey is a member of the Center’s American Trends Panel (ATP), an online survey panel that is recruited through national, random sampling of residential addresses. This way nearly all U.S. adults have a chance of selection. The survey is weighted to be representative of the U.S. adult population by gender, race, ethnicity, partisan affiliation, education and other categories. Read more about the ATP’s methodology .

Here are the questions used for the report and its methodology .

The growing number of migrants seeking entry into the United States at its border with Mexico has strained government resources, divided Congress and emerged as a contentious issue in the 2024 presidential campaign .

Chart shows Why do Americans think there is an influx of migrants to the United States?

Americans overwhelmingly fault the government for how it has handled the migrant situation. Beyond that, however, there are deep differences – over why the migrants are coming to the U.S., proposals for addressing the situation, and even whether it should be described as a “crisis.”

Factors behind the migrant influx

Economic factors – either poor conditions in migrants’ home countries or better economic opportunities in the United States – are widely viewed as major reasons for the migrant influx.

About seven-in-ten Americans (71%), including majorities in both parties, cite better economic opportunities in the U.S. as a major reason.

There are wider partisan differences over other factors.

About two-thirds of Americans (65%) say violence in migrants’ home countries is a major reason for why a large number of immigrants have come to the border.

Democrats and Democratic-leaning independents are 30 percentage points more likely than Republicans and Republican leaners to cite this as a major reason (79% vs. 49%).

By contrast, 76% of Republicans say the belief that U.S. immigration policies will make it easy to stay in the country once they arrive is a major factor. About half as many Democrats (39%) say the same.

For more on Americans’ views of these and other reasons, visit Chapter 2.

How serious is the situation at the border?

A sizable majority of Americans (78%) say the large number of migrants seeking to enter this country at the U.S.-Mexico border is eithera crisis (45%) or a major problem (32%), according to the Pew Research Center survey, conducted Jan. 16-21, 2024, among 5,140 adults.

Related: Migrant encounters at the U.S.-Mexico border hit a record high at the end of 2023 .

Chart shows Border situation viewed as a ‘crisis’ by most Republicans; Democrats are more likely to call it a ‘problem’

  • Republicans are much more likely than Democrats to describe the situation as a “crisis”: 70% of Republicans say this, compared with just 22% of Democrats.
  • Democrats mostly view the situation as a major problem (44%) or minor problem (26%) for the U.S. Very few Democrats (7%) say it is not a problem.

In an open-ended question , respondents voice their concerns about the migrant influx. They point to numerous issues, including worries about how the migrants are cared for and general problems with the immigration system.

Yet two concerns come up most frequently:

  • 22% point to the economic burdens associated with the migrant influx, including the strains migrants place on social services and other government resources.
  • 22% also cite security concerns. Many of these responses focus on crime (10%), terrorism (10%) and drugs (3%).

When asked specifically about the impact of the migrant influx on crime in the United States, a majority of Americans (57%) say the large number of migrants seeking to enter the country leads to more crime. Fewer (39%) say this does not have much of an impact on crime in this country.

Republicans (85%) overwhelmingly say the migrant surge leads to increased crime in the U.S. A far smaller share of Democrats (31%) say the same; 63% of Democrats instead say it does not have much of an impact.

Government widely criticized for its handling of migrant influx

For the past several years, the federal government has gotten low ratings for its handling of the situation at the U.S.-Mexico border. (Note: The wording of this question has been modified modestly to reflect circumstances at the time).

Chart shows Only about a quarter of Democrats and even fewer Republicans say the government has done a good job dealing with large number of migrants at the border

However, the current ratings are extraordinarily low.

Just 18% say the U.S. government is doing a good job dealing with the large number of migrants at the border, while 80% say it is doing a bad job, including 45% who say it is doing a very bad job.

  • Republicans’ views are overwhelmingly negative (89% say it’s doing a bad job), as they have been since Joe Biden became president.
  • 73% of Democrats also give the government negative ratings, the highest share recorded during Biden’s presidency.

For more on Americans’ evaluations of the situation, visit Chapter 1 .

Which policies could improve the border situation?

There is no single policy proposal, among the nine included on the survey, that majorities of both Republicans and Democrats say would improve the situation at the U.S.-Mexico border. There are areas of relative agreement, however.

A 60% majority of Americans say that increasing the number of immigration judges and staff in order to make decisions on asylum more quickly would make the situation better. Only 11% say it would make things worse, while 14% think it would not make much difference.

Nearly as many (56%) say creating more opportunities for people to legally immigrate to the U.S. would make the situation better.

Chart shows Most Democrats and nearly half of Republicans say boosting resources for quicker decisions on asylum cases would improve situation at Mexico border

Majorities of Democrats say each of these proposals would make the border situation better.

Republicans are less positive than are Democrats; still, about 40% or more of Republicans say each would improve the situation, while far fewer say they would make things worse.

Opinions on other proposals are more polarized. For example, a 56% majority of Democrats say that adding resources to provide safe and sanitary conditions for migrants arriving in the U.S. would be a positive step forward.

Republicans not only are far less likely than Democrats to view this proposal positively, but far more say it would make the situation worse (43%) than better (17%).

Chart shows Wide partisan gaps in views of expanding border wall, providing ‘safe and sanitary conditions’ for migrants

Building or expanding a wall along the U.S.-Mexico border was among the most divisive policies of Donald Trump’s presidency. In 2019, 82% of Republicans favored expanding the border wall , compared with just 6% of Democrats.

Today, 72% of Republicans say substantially expanding the wall along the U.S. border with Mexico would make the situation better. Just 15% of Democrats concur, with most saying either it would not make much of a difference (47%) or it would make things worse (24%).

For more on Americans’ reactions to policy proposals, visit Chapter 3 .

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Table of contents, fast facts on how greeks see migrants as greece-turkey border crisis deepens, americans’ immigration policy priorities: divisions between – and within – the two parties, from the archives: in ’60s, americans gave thumbs-up to immigration law that changed the nation, around the world, more say immigrants are a strength than a burden, latinos have become less likely to say there are too many immigrants in u.s., most popular.

About Pew Research Center Pew Research Center is a nonpartisan fact tank that informs the public about the issues, attitudes and trends shaping the world. It conducts public opinion polling, demographic research, media content analysis and other empirical social science research. Pew Research Center does not take policy positions. It is a subsidiary of The Pew Charitable Trusts .

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How to use Copilot Pro to write, edit, and analyze your Word documents

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Microsoft's Copilot Pro AI offers a few benefits for $20 per month. But the most helpful one is the AI-powered integration with the different Microsoft 365 apps. For those of you who use Microsoft Word, for instance, Copilot Pro can help you write and revise your text, provide summaries of your documents, and answer questions about any document.

First, you'll need a subscription to either Microsoft 365 Personal or Family . Priced at $70 per year, the Personal edition is geared for one individual signed into as many as five devices. At $100 per year, the Family edition is aimed at up to six people on as many as five devices. The core apps in the suite include Word, Excel, PowerPoint, Outlook, and OneNote.

Also: Microsoft Copilot vs. Copilot Pro: Is the subscription fee worth it?

Second, you'll need the subscription to Copilot Pro if you don't already have one. To sign up, head to the Copilot Pro website . Click the Get Copilot Pro button. Confirm the subscription and the payment. The next time you use Copilot on the website, in Windows, or with the mobile apps, the Pro version will be in effect.

How to use Copilot Pro in Word

1. open word.

Launch Microsoft Word and open a blank document. Let's say you need help writing a particular type of document and want Copilot to create a draft. 

Also: Microsoft Copilot Pro vs. OpenAI's ChatGPT Plus: Which is worth your $20 a month?

A small "Draft with Copilot" window appears on the screen. If you don't see it, click the tiny "Draft with Copilot icon in the left margin."

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2. Submit your request

At the text field in the window, type a description of the text you need and click the "Generate" button.

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Submit your request.

3. Review the response and your options

Copilot generates and displays its response. After reading the response, you're presented with a few different options.

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Review the response and your options.

4. Keep, regenerate, or remove the draft

If you like the draft, click "Keep it." The draft is then inserted into your document where you can work with it. If you don't like the draft, click the "Regenerate" button, and a new draft is created. 

Also: What is Copilot (formerly Bing Chat)? Here's everything you need to know

If you'd prefer to throw out the entire draft and start from scratch, click the trash can icon.

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Keep, regenerate, or remove the draft.

5. Alter the draft

Alternatively, you can try to modify the draft by typing a specific request in the text field, such as "Make it more formal," "Make it shorter," or "Make it more casual."

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Alter the draft.

6. Review the different versions

If you opt to regenerate the draft, you can switch between the different versions by clicking the left or right arrow next to the number. You can then choose to keep the draft you prefer.

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7. Revise existing text

Copilot will also help you fine-tune existing text. Select the text you want to revise. Click the Copilot icon in the left margin and select "Rewrite with Copilot."

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Revise existing text.

8. Review the different versions

Copilot creates a few different versions of the text. Click the arrow keys to view each version.

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Review the different versions.

9. Replace or Insert

If you find one you like, click "Replace" to replace the text you selected. 

Also: ChatGPT vs. Microsoft Copilot vs. Gemini: Which is the best AI chatbot?

Click "Insert below" to insert the new draft below the existing words so you can compare the two.

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Replace or Insert.

10. Adjust the tone

Click "Regenerate" to ask Copilot to try again. Click the "Adjust Tone" button and select a different tone to generate another draft.

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Adjust the tone.

11. Turn text into a table

Sometimes you have text that would look and work better as a table. Copilot can help. Select the text you wish to turn into a table. Click the Copilot icon and select "Visualize as a Table."

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Turn text into a table.

12. Respond to the table

In response, click "Keep it" to retain the table. Click "Regenerate" to try again. Click the trash can icon to delete it. Otherwise, type a request in the text field, such as "remove the second row" or "make the last column wider."

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Respond to the table.

13. Summarize a document

Copilot Pro can provide a summary of a document with its key points. To try this, open the document you want to summarize and then click the Copilot icon on the Ribbon. 

Also: The best AI chatbots

The right sidebar displays several prompts you can use to start your question. Click the one for "Summarize this doc."

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Summarize a document.

14. Review the summary

View the generated summary in the sidebar. If you like it as is, click the "Copy" button to copy the summary and paste it elsewhere.

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Review the summary.

15. Revise the summary

Otherwise, choose one of the suggested questions or ask your own question to revise the summary. For example, you could tell Copilot to make the summary longer, shorter, more formal, or less formal. 

Also: The best AI image generators

You could also ask it to expand on one of the points in the summary or provide more details on a certain point. A specific response is then generated based on your request.

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Revise the summary.

16. Ask questions about a document

Next, you can ask specific questions about any of the content in a document. Again, click the Copilot icon to display the sidebar. In the prompt area, type and submit your question. Copilot displays the response in the sidebar. You can then ask follow-up questions as needed.

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Ask questions about a document.

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  • Knowledge Base
  • Methodology
  • 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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  • 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 February 22, 2024, from https://www.scribbr.com/research-process/research-question-examples/

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Other students also liked, writing strong research questions | criteria & examples, how to choose a dissertation topic | 8 steps to follow, evaluating sources | methods & examples, what is your plagiarism score.

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Why the Tech Industry Won’t Disrupt Health Care

  • John Glaser,
  • Sara Vaezy,
  • Janet Guptill

how do questionnaires help in research

Digital transformation will most likely come from established health systems. Here’s what they need to do.

At first glance, it looks like health care in the United States is ripe for disruption. Digital technology advances have the power to help address the shortcomings of care delivery: It costs too much, its quality isn’t what it could and should be, and millions of people live hundreds of miles from the nearest hospital and/or don’t have a primary care doctor. But for many reasons, the incumbents — established health systems — will be extremely hard to displace. Instead, the winners will be health systems that team up with digital tech companies.

We’ve all watched digital innovators demolish certain industries: video and record stores, neighborhood movie theaters, travel agents. A one-time #18 on the Fortune 500, photo film giant Eastman Kodak was felled by digital photography. But some industries and players successfully fend off digital competitors and incorporate their innovations into their daily operations. An Economist article observed that even though most banking has moved online, the average large bank is 138 years old. Walmart, the world’s largest brick-and-mortar retailer, is also the second-largest online retailer.

  • John Glaser is an executive in residence at Harvard Medical School. He previously served as the CIO of Partners Healthcare (now Mass General Brigham), a senior vice president at Cerner, and the CEO of Siemens Health Services. He is co-chair of the HL7 Advisory Council and a board member of the National Committee for Quality Assurance.
  • Sara Vaezy is executive vice president and chief strategy and digital officer at Providence, where she is responsible for corporate strategy, artificial intelligence strategy, marketing, digital, and experience for the integrated delivery network, which includes 51 hospitals and 1,000 clinics serving 5 million patients annually. She also is a member of the National Committee for Quality Assurance’s board of directors and the Harvard Executive Education faculty.
  • Janet Guptill is president and CEO of the Scottsdale Institute, a not-for-profit organization dedicated to helping its more than 60 large, integrated health systems leverage information and technology to create effective, affordable, and equitable health care centered on whole person care.

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  • Ann R Coll Surg Engl
  • v.95(1); 2013 Jan

A quick guide to survey research

1 University of Cambridge,, UK

2 Cambridge University Hospitals NHS Foundation Trust,, UK

Questionnaires are a very useful survey tool that allow large populations to be assessed with relative ease. Despite a widespread perception that surveys are easy to conduct, in order to yield meaningful results, a survey needs extensive planning, time and effort. In this article, we aim to cover the main aspects of designing, implementing and analysing a survey as well as focusing on techniques that would improve response rates.

Medical research questionnaires or surveys are vital tools used to gather information on individual perspectives in a large cohort. Within the medical realm, there are three main types of survey: epidemiological surveys, surveys on attitudes to a health service or intervention and questionnaires assessing knowledge on a particular issue or topic. 1

Despite a widespread perception that surveys are easy to conduct, in order to yield meaningful results, a survey needs extensive planning, time and effort. In this article, we aim to cover the main aspects of designing, implementing and analysing a survey as well as focusing on techniques that would improve response rates.

Clear research goal

The first and most important step in designing a survey is to have a clear idea of what you are looking for. It will always be tempting to take a blanket approach and ask as many questions as possible in the hope of getting as much information as possible. This type of approach does not work as asking too many irrelevant or incoherent questions reduces the response rate 2 and therefore reduces the power of the study. This is especially important when surveying physicians as they often have a lower response rate than the rest of the population. 3 Instead, you must carefully consider the important data you will be using and work on a ‘need to know’ rather than a ‘would be nice to know’ model. 4

After considering the question you are trying to answer, deciding whom you are going to ask is the next step. With small populations, attempting to survey them all is manageable but as your population gets bigger, a sample must be taken. The size of this sample is more important than you might expect. After lost questionnaires, non-responders and improper answers are taken into account, this sample must still be big enough to be representative of the entire population. If it is not big enough, the power of your statistics will drop and you may not get any meaningful answers at all. It is for this reason that getting a statistician involved in your study early on is absolutely crucial. Data should not be collected until you know what you are going to do with them.

Directed questions

After settling on your research goal and beginning to design a questionnaire, the main considerations are the method of data collection, the survey instrument and the type of question you are going to ask. Methods of data collection include personal interviews, telephone, postal or electronic ( Table 1 ).

Advantages and disadvantages of survey methods

Collected data are only useful if they convey information accurately and consistently about the topic in which you are interested. This is where a validated survey instrument comes in to the questionnaire design. Validated instruments are those that have been extensively tested and are correctly calibrated to their target. They can therefore be assumed to be accurate. 1 It may be possible to modify a previously validated instrument but you should seek specialist advice as this is likely to reduce its power. Examples of validated models are the Beck Hopelessness Scale 5 or the Addenbrooke’s Cognitive Examination. 6

The next step is choosing the type of question you are going to ask. The questionnaire should be designed to answer the question you want answered. Each question should be clear, concise and without bias. Normalising statements should be included and the language level targeted towards those at the lowest educational level in your cohort. 1 You should avoid open, double barrelled questions and those questions that include negative items and assign causality. 1 The questions you use may elicit either an open (free text answer) or closed response. Open responses are more flexible but require more time and effort to analyse, whereas closed responses require more initial input in order to exhaust all possible options but are easier to analyse and present.

Questionnaire

Two more aspects come into questionnaire design: aesthetics and question order. While this is not relevant to telephone or personal questionnaires, in self-administered surveys the aesthetics of the questionnaire are crucial. Having spent a large amount of time fine-tuning your questions, presenting them in such a way as to maximise response rates is pivotal to obtaining good results. Visual elements to think of include smooth, simple and symmetrical shapes, soft colours and repetition of visual elements. 7

Once you have attracted your subject’s attention and willingness with a well designed and attractive survey, the order in which you put your questions is critical. To do this you should focus on what you need to know; start by placing easier, important questions at the beginning, group common themes in the middle and keep questions on demographics to near the end. The questions should be arrayed in a logical order, questions on the same topic close together and with sensible sections if long enough to warrant them. Introductory and summary questions to mark the start and end of the survey are also helpful.

Pilot study

Once a completed survey has been compiled, it needs to be tested. The ideal next step should highlight spelling errors, ambiguous questions and anything else that impairs completion of the questionnaire. 8 A pilot study, in which you apply your work to a small sample of your target population in a controlled setting, may highlight areas in which work still needs to be done. Where possible, being present while the pilot is going on will allow a focus group-type atmosphere in which you can discuss aspects of the survey with those who are going to be filling it in. This step may seem non-essential but detecting previously unconsidered difficulties needs to happen as early as possible and it is important to use your participants’ time wisely as they are unlikely to give it again.

Distribution and collection

While it should be considered quite early on, we will now discuss routes of survey administration and ways to maximise results. Questionnaires can be self-administered electronically or by post, or administered by a researcher by telephone or in person. The advantages and disadvantages of each method are summarised in Table 1 . Telephone and personal surveys are very time and resource consuming whereas postal and electronic surveys suffer from low response rates and response bias. Your route should be chosen with care.

Methods for maximising response rates for self-administered surveys are listed in Table 2 , taken from a Cochrane review.2 The differences between methods of maximising responses to postal or e-surveys are considerable but common elements include keeping the questionnaire short and logical as well as including incentives.

Methods for improving response rates in postal and electronic questionnaires 2

  • – Involve a statistician early on.
  • – Run a pilot study to uncover problems.
  • – Consider using a validated instrument.
  • – Only ask what you ‘need to know’.
  • – Consider guidelines on improving response rates.

The collected data will come in a number of forms depending on the method of collection. Data from telephone or personal interviews can be directly entered into a computer database whereas postal data can be entered at a later stage. Electronic questionnaires can allow responses to go directly into a computer database. Problems arise from errors in data entry and when questionnaires are returned with missing data fields. As mentioned earlier, it is essential to have a statistician involved from the beginning for help with data analysis. He or she will have helped to determine the sample size required to ensure your study has enough power. The statistician can also suggest tests of significance appropriate to your survey, such as Student’s t-test or the chi-square test.

Conclusions

Survey research is a unique way of gathering information from a large cohort. Advantages of surveys include having a large population and therefore a greater statistical power, the ability to gather large amounts of information and having the availability of validated models. However, surveys are costly, there is sometimes discrepancy in recall accuracy and the validity of a survey depends on the response rate. Proper design is vital to enable analysis of results and pilot studies are critical to this process.

High levels of niacin linked to heart disease, new research suggests

High levels of niacin, an essential B vitamin, may raise the risk of heart disease by triggering inflammation and damaging blood vessels, according to new research.

The report, published Monday in Nature Medicine, revealed a previously unknown risk from excessive amounts of the vitamin, which is found in many foods, including meat, fish, nuts, and fortified cereals and breads.

The recommended daily allowance of niacin for men is 16 milligrams per day and for women who are not pregnant is 14 milligrams per day.

About 1 in 4 Americans has higher than the recommended level of niacin , said the study’s senior author, Dr. Stanley Hazen, chair of cardiovascular and metabolic sciences at the Cleveland Clinic’s Lerner Research Institute and co-section head of preventive cardiology at the Heart, Vascular and Thoracic Institute.

The researchers currently don’t know where to draw the line between healthy and unhealthy amounts of niacin, although that may be determined with future research.

"The average person should avoid niacin supplements now that we have reason to believe that taking too much niacin can potentially lead to an increased risk of developing cardiovascular disease,” Hazen said.

Currently, Americans get plenty of niacin from their diet since flour, grains and cereals have been fortified with niacin since the 1940s after scientists discovered that very low levels of the nutrient could lead to a potentially fatal condition called pellagra, Hazen said.

Prior to the development of cholesterol-lowering statins , niacin supplements were once even prescribed by doctors to improve cholesterol levels.

To search for unknown risk factors for cardiovascular disease, Hazen and his colleagues designed a multipart study that included an analysis of fasting blood samples from 1,162 patients who had come into a cardiology center to be evaluated for heart disease. The researchers were looking for common markers, or signs, in the patients’ blood that might reveal new risk factors. 

The research resulted in the discovery of a substance in some of the blood samples that is only made when there is excess niacin. 

Meat in grocery store

That finding led to two additional “validation” studies, which included data from a total of 3,163 adults who either had heart disease or were suspected of having it. The two investigations, one in the U.S. and one in Europe, showed that the niacin breakdown product, 4PY, predicted participants’ future risk of heart attack, stroke and death.

The final part of the study involved experiments in mice. When the rodents were injected with 4PY, inflammation increased in their blood vessels. 

The results are “fascinating” and “important,” said Dr. Robert Rosenson, director of metabolism and lipids for the Mount Sinai Health System in New York City.

More heart health news

  • A stealthy cholesterol is killing people, and most don't know they're at risk.
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  • Why one particular diet is found to be the best year after year.

The newly detected pathway to heart disease might lead to the discovery of a medication that could reduce blood vessel inflammation and decrease the likelihood of major cardiovascular events, he added.

Rosenson hopes that the food industry will take note and “stop using so much niacin in products like bread. This is a case where too much of a good thing can be a bad thing.”

The new information could influence dietary recommendations for niacin, said Rosenson, who was not involved with the Cleveland Clinic research.

Scientists have known for decades that a person’s cholesterol level could be a major driver of heart disease, said Dr. Amanda Doran, an assistant professor of medicine in the division of cardiovascular medicine at the Vanderbilt University Medical Center.

Even when patients’ cholesterol levels were brought down, some continued to have a high risk of heart attacks and stroke, Doran said, adding that a 2017 trial suggested that the increased risk might be related to blood vessel inflammation.

Doran was surprised to learn that niacin could be involved in driving up the risk of heart disease.

“I don’t think anyone would have predicted that niacin would have been pro-inflammatory,” she said. “This is a powerful study because it combines a variety of techniques: clinical data, genetic data and mouse data.”

Finding the new pathway may allow future researchers to discover ways to reduce blood vessel inflammation, Doran said.

“It’s very exciting and promising,” she said.

Linda Carroll is a regular health contributor to NBC News. She is coauthor of "The Concussion Crisis: Anatomy of a Silent Epidemic" and "Out of the Clouds: The Unlikely Horseman and the Unwanted Colt Who Conquered the Sport of Kings." 

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COMMENTS

  1. Questionnaire Design

    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.

  2. What Is a Questionnaire and How Is It Used in Research?

    A questionnaire in research is a structured set of questions designed to gather information from respondents. It's used to collect quantitative or qualitative data on subjects' opinions, behaviors, or characteristics. Data can be collected relatively quickly because the researcher would not need to be present when completing the questionnaires.

  3. 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.

  4. Hands-on guide to questionnaire research: Administering, analysing, and

    The first step in producing good questionnaire research is getting the right questionnaire. 1 However, even the best questionnaire will not get adequate results if it is not used properly. This article outlines how to pilot your questionnaire, distribute and administer it; and get it returned, analysed, and written up for publication.

  5. Writing Survey Questions

    Writing Survey Questions. Perhaps the most important part of the survey process is the creation of questions that accurately measure the opinions, experiences and behaviors of the public. Accurate random sampling will be wasted if the information gathered is built on a shaky foundation of ambiguous or biased questions.

  6. Hands-on guide to questionnaire research: Selecting, designing, and

    Questionnaires can be used as the sole research instrument (such as in a cross sectional survey) or within clinical trials or epidemiological studies. Randomised trials are subject to strict reporting criteria, 4 but there is no comparable framework for questionnaire research.

  7. Questionnaires: Definition, advantages & examples

    Uniformity: Questionnaires are very useful to collect demographic information, personal opinions, facts, or attitudes from respondents. One of the most significant attributes of a research form is uniform design and standardization. Every respondent sees the same questions. This helps in data collection and statistical analysis of this data.

  8. Practical Guidelines to Develop and Evaluate a Questionnaire

    Introduction There is an increase in the usage of the questionnaires to understand and measure patients' perception of medical and nonmedical care. Recently, with increased interest in quality of life associated with chronic diseases, there is a surge in the usage and types of questionnaires.

  9. Questionnaires

    "The questionnaire is a widely used and useful instrument for collecting survey information, providing structured - often numerical - data, able to be administrated without the presence of the researcher and often comparatively straightforward to analyse.

  10. How to Develop a Questionnaire for Research: 15 Steps

    1 Identify the goal of your questionnaire. What kind of information do you want to gather with your questionnaire? What is your main objective? Is a questionnaire the best way to go about collecting this information? Come up with a research question. It can be one question or several, but this should be the focal point of your questionnaire.

  11. How to design a questionnaire for research

    As a staple in data collection, questionnaires help uncover robust and reliable findings that can transform industries, shape policies, and revolutionize understanding. Whether you are exploring societal trends or delving into scientific phenomena, the effectiveness of your research questionnaire can make or break your findings.

  12. Designing a Questionnaire for a Research Paper: A Comprehensive Guide

    Abstract - A questionnaire is an important instrument in a research study to help the researcher collect relevant data regarding the research topic. It is significant to ensure that the design of the questionnaire is arranged to minimize errors. However, researchers commonly face challenges in designing

  13. Behind the Numbers: Questioning Questionnaires

    2. Questionnaire researchers, journal editors and reviewers should be more careful and suspicious about using published measures in management research. Designing new questionnaires is tricky and time consuming, so it is tempting to use and re-use existing ones for practical and legitimation reasons (Scherbaum & Meade, 2009). Moreover, the use ...

  14. What Is a Questionnaire

    Practicality: Questionnaires enable researchers to strategically manage their target audience, questions and format while gathering large data quantities on any subject. Cost-efficiency: You don't need to hire surveyors to deliver your survey questions — instead, you can place them on your website or email them to respondents at little to no cost.

  15. Questionnaire: Definition, How to Design, Types & Examples

    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.

  16. Questionnaires

    Scaling Questions. Also referred to as ranking questions, they present an option for respondents to rank the available answers to questions on the scale of given range of values (for example from 1 to 10). For a standard 15,000-20,000 word business dissertation including 25-40 questions in questionnaires will usually suffice.

  17. Survey Research

    What are surveys used for? Surveys are used as a method of gathering data in many different fields. They are a good choice when you want to find out about the characteristics, preferences, opinions, or beliefs of a group of people. Common uses of survey research include:

  18. Designing and validating a research questionnaire

    INTRODUCTION In research studies, questionnaires are commonly used as data collection tools, either as the only source of information or in combination with other techniques in mixed-method studies. However, the quality and accuracy of data collected using a questionnaire depend on how it is designed, used, and validated.

  19. PDF Strategies for Essay Writing

    about the question, and they do not want you to bring in other sources. • Consider your audience. It can be difficult to know how much background information or context to provide when you are writing a paper. Here are some useful guidelines: o If you're writing a research paper, do not assume that your reader has read

  20. Psychology Research Questions: 80 Ideas For Your Next Project

    Below, you will find 80 research question examples across 16 branches of psychology. First, though, let's look at some tips to help you select a suitable research topic. How to choose a good psychology research topic. Psychology has many branches that break down further into topics. Choosing a topic for your psychology research paper can be ...

  21. Is the US a Christian nation? What the Constitution says

    Many Americans believe the United States was founded as a Christian nation, and the idea is energizing some conservative and Republican activists. But the concept means different things to different people, and historians say that while the issue is complex, the founding documents prioritize religious freedom and do not create a Christian nation.

  22. The U.S.-Mexico Border: How Americans View the ...

    (Note: The wording of this question has been modified modestly to reflect circumstances at the time). However, the current ratings are extraordinarily low. Just 18% say the U.S. government is doing a good job dealing with the large number of migrants at the border, while 80% say it is doing a bad job, including 45% who say it is doing a very ...

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    Copilot will also help you fine-tune existing text. Select the text you want to revise. Click the Copilot icon in the left margin and select "Rewrite with Copilot."

  24. Questionnaire Design

    Step-by-step guide to design Frequently asked questions about questionnaire design Questionnaires vs surveys 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.

  25. What if It's All True? Going Back to the Basics of Belief

    In the book of Matthew, Jesus's question is not delivered to the unnamed crowds we encounter throughout the Gospels, but to His disciples. It was the ones who were closest to Him and who knew Him best who were confronted with this basic question. Similarly, it is a question we must answer clearly if we hope to minister effectively in our day.

  26. 10 Research Question Examples to Guide your Research Project

    The first question asks for a ready-made solution, and is not focused or researchable. The second question is a clearer comparative question, but note that it may not be practically feasible. For a smaller research project or thesis, it could be narrowed down further to focus on the effectiveness of drunk driving laws in just one or two countries.

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    Summary. At first glance, it looks like health care in the United States is ripe for disruption. Digital technology advances have the power to help address the shortcomings of care delivery: It ...

  28. A quick guide to survey research

    Questionnaires are a very useful survey tool that allow large populations to be assessed with relative ease. Despite a widespread perception that surveys are easy to conduct, in order to yield meaningful results, a survey needs extensive planning, time and effort.

  29. High levels of niacin linked to heart disease, new research suggests

    High levels of niacin, an essential B vitamin, may raise the risk of heart disease by triggering inflammation and damaging blood vessels, according to new research.