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Home » Questionnaire – Definition, Types, and Examples

Questionnaire – Definition, Types, and Examples

Table of Contents

Questionnaire

Definition:

A Questionnaire is a research tool or survey instrument that consists of a set of questions or prompts designed to gather information from individuals or groups of people.

It is a standardized way of collecting data from a large number of people by asking them a series of questions related to a specific topic or research objective. The questions may be open-ended or closed-ended, and the responses can be quantitative or qualitative. Questionnaires are widely used in research, marketing, social sciences, healthcare, and many other fields to collect data and insights from a target population.

History of Questionnaire

The history of questionnaires can be traced back to the ancient Greeks, who used questionnaires as a means of assessing public opinion. However, the modern history of questionnaires began in the late 19th century with the rise of social surveys.

The first social survey was conducted in the United States in 1874 by Francis A. Walker, who used a questionnaire to collect data on labor conditions. In the early 20th century, questionnaires became a popular tool for conducting social research, particularly in the fields of sociology and psychology.

One of the most influential figures in the development of the questionnaire was the psychologist Raymond Cattell, who in the 1940s and 1950s developed the personality questionnaire, a standardized instrument for measuring personality traits. Cattell’s work helped establish the questionnaire as a key tool in personality research.

In the 1960s and 1970s, the use of questionnaires expanded into other fields, including market research, public opinion polling, and health surveys. With the rise of computer technology, questionnaires became easier and more cost-effective to administer, leading to their widespread use in research and business settings.

Today, questionnaires are used in a wide range of settings, including academic research, business, healthcare, and government. They continue to evolve as a research tool, with advances in computer technology and data analysis techniques making it easier to collect and analyze data from large numbers of participants.

Types of Questionnaire

Types of Questionnaires are as follows:

Structured Questionnaire

This type of questionnaire has a fixed format with predetermined questions that the respondent must answer. The questions are usually closed-ended, which means that the respondent must select a response from a list of options.

Unstructured Questionnaire

An unstructured questionnaire does not have a fixed format or predetermined questions. Instead, the interviewer or researcher can ask open-ended questions to the respondent and let them provide their own answers.

Open-ended Questionnaire

An open-ended questionnaire allows the respondent to answer the question in their own words, without any pre-determined response options. The questions usually start with phrases like “how,” “why,” or “what,” and encourage the respondent to provide more detailed and personalized answers.

Close-ended Questionnaire

In a closed-ended questionnaire, the respondent is given a set of predetermined response options to choose from. This type of questionnaire is easier to analyze and summarize, but may not provide as much insight into the respondent’s opinions or attitudes.

Mixed Questionnaire

A mixed questionnaire is a combination of open-ended and closed-ended questions. This type of questionnaire allows for more flexibility in terms of the questions that can be asked, and can provide both quantitative and qualitative data.

Pictorial Questionnaire:

In a pictorial questionnaire, instead of using words to ask questions, the questions are presented in the form of pictures, diagrams or images. This can be particularly useful for respondents who have low literacy skills, or for situations where language barriers exist. Pictorial questionnaires can also be useful in cross-cultural research where respondents may come from different language backgrounds.

Types of Questions in Questionnaire

The types of Questions in Questionnaire are as follows:

Multiple Choice Questions

These questions have several options for participants to choose from. They are useful for getting quantitative data and can be used to collect demographic information.

• a. Red b . Blue c. Green d . Yellow

Rating Scale Questions

These questions ask participants to rate something on a scale (e.g. from 1 to 10). They are useful for measuring attitudes and opinions.

• On a scale of 1 to 10, how likely are you to recommend this product to a friend?

Open-Ended Questions

These questions allow participants to answer in their own words and provide more in-depth and detailed responses. They are useful for getting qualitative data.

• What do you think are the biggest challenges facing your community?

Likert Scale Questions

These questions ask participants to rate how much they agree or disagree with a statement. They are useful for measuring attitudes and opinions.

How strongly do you agree or disagree with the following statement:

“I enjoy exercising regularly.”

• a . Strongly Agree
• c . Neither Agree nor Disagree
• d . Disagree
• e . Strongly Disagree

Demographic Questions

These questions ask about the participant’s personal information such as age, gender, ethnicity, education level, etc. They are useful for segmenting the data and analyzing results by demographic groups.

• What is your age?

Yes/No Questions

These questions only have two options: Yes or No. They are useful for getting simple, straightforward answers to a specific question.

Have you ever traveled outside of your home country?

Ranking Questions

These questions ask participants to rank several items in order of preference or importance. They are useful for measuring priorities or preferences.

Please rank the following factors in order of importance when choosing a restaurant:

• a. Quality of Food
• c. Ambiance
• d. Location

Matrix Questions

These questions present a matrix or grid of options that participants can choose from. They are useful for getting data on multiple variables at once.

Dichotomous Questions

These questions present two options that are opposite or contradictory. They are useful for measuring binary or polarized attitudes.

Do you support the death penalty?

How to Make a Questionnaire

Step-by-Step Guide for Making a Questionnaire:

• Define your research objectives: Before you start creating questions, you need to define the purpose of your questionnaire and what you hope to achieve from the data you collect.
• Choose the appropriate question types: Based on your research objectives, choose the appropriate question types to collect the data you need. Refer to the types of questions mentioned earlier for guidance.
• Develop questions: Develop clear and concise questions that are easy for participants to understand. Avoid leading or biased questions that might influence the responses.
• Organize questions: Organize questions in a logical and coherent order, starting with demographic questions followed by general questions, and ending with specific or sensitive questions.
• Pilot the questionnaire : Test your questionnaire on a small group of participants to identify any flaws or issues with the questions or the format.
• Refine the questionnaire : Based on feedback from the pilot, refine and revise the questionnaire as necessary to ensure that it is valid and reliable.
• Distribute the questionnaire: Distribute the questionnaire to your target audience using a method that is appropriate for your research objectives, such as online surveys, email, or paper surveys.
• Collect and analyze data: Collect the completed questionnaires and analyze the data using appropriate statistical methods. Draw conclusions from the data and use them to inform decision-making or further research.
• Report findings: Present your findings in a clear and concise report, including a summary of the research objectives, methodology, key findings, and recommendations.

Questionnaire Administration Modes

There are several modes of questionnaire administration. The choice of mode depends on the research objectives, sample size, and available resources. Some common modes of administration include:

• Self-administered paper questionnaires: Participants complete the questionnaire on paper, either in person or by mail. This mode is relatively low cost and easy to administer, but it may result in lower response rates and greater potential for errors in data entry.
• Online questionnaires: Participants complete the questionnaire on a website or through email. This mode is convenient for both researchers and participants, as it allows for fast and easy data collection. However, it may be subject to issues such as low response rates, lack of internet access, and potential for fraudulent responses.
• Telephone surveys: Trained interviewers administer the questionnaire over the phone. This mode allows for a large sample size and can result in higher response rates, but it is also more expensive and time-consuming than other modes.
• Face-to-face interviews : Trained interviewers administer the questionnaire in person. This mode allows for a high degree of control over the survey environment and can result in higher response rates, but it is also more expensive and time-consuming than other modes.
• Mixed-mode surveys: Researchers use a combination of two or more modes to administer the questionnaire, such as using online questionnaires for initial screening and following up with telephone interviews for more detailed information. This mode can help overcome some of the limitations of individual modes, but it requires careful planning and coordination.

Example of Questionnaire

Title of the Survey: Customer Satisfaction Survey

Introduction:

We appreciate your business and would like to ensure that we are meeting your needs. Please take a few minutes to complete this survey so that we can better understand your experience with our products and services. Your feedback is important to us and will help us improve our offerings.

Instructions:

Please read each question carefully and select the response that best reflects your experience. If you have any additional comments or suggestions, please feel free to include them in the space provided at the end of the survey.

1. How satisfied are you with our product quality?

• Very satisfied
• Somewhat satisfied
• Somewhat dissatisfied
• Very dissatisfied

2. How satisfied are you with our customer service?

3. How satisfied are you with the price of our products?

4. How likely are you to recommend our products to others?

• Very likely
• Somewhat likely
• Somewhat unlikely
• Very unlikely

5. How easy was it to find the information you were looking for on our website?

• Somewhat easy
• Somewhat difficult
• Very difficult

6. How satisfied are you with the overall experience of using our products and services?

7. Is there anything that you would like to see us improve upon or change in the future?

…………………………………………………………………………………………………………………………..

Conclusion:

Thank you for taking the time to complete this survey. Your feedback is valuable to us and will help us improve our products and services. If you have any further comments or concerns, please do not hesitate to contact us.

Applications of Questionnaire

Some common applications of questionnaires include:

• Research : Questionnaires are commonly used in research to gather information from participants about their attitudes, opinions, behaviors, and experiences. This information can then be analyzed and used to draw conclusions and make inferences.
• Healthcare : In healthcare, questionnaires can be used to gather information about patients’ medical history, symptoms, and lifestyle habits. This information can help healthcare professionals diagnose and treat medical conditions more effectively.
• Marketing : Questionnaires are commonly used in marketing to gather information about consumers’ preferences, buying habits, and opinions on products and services. This information can help businesses develop and market products more effectively.
• Human Resources: Questionnaires are used in human resources to gather information from job applicants, employees, and managers about job satisfaction, performance, and workplace culture. This information can help organizations improve their hiring practices, employee retention, and organizational culture.
• Education : Questionnaires are used in education to gather information from students, teachers, and parents about their perceptions of the educational experience. This information can help educators identify areas for improvement and develop more effective teaching strategies.

Purpose of Questionnaire

Some common purposes of questionnaires include:

• To collect information on attitudes, opinions, and beliefs: Questionnaires can be used to gather information on people’s attitudes, opinions, and beliefs on a particular topic. For example, a questionnaire can be used to gather information on people’s opinions about a particular political issue.
• To collect demographic information: Questionnaires can be used to collect demographic information such as age, gender, income, education level, and occupation. This information can be used to analyze trends and patterns in the data.
• To measure behaviors or experiences: Questionnaires can be used to gather information on behaviors or experiences such as health-related behaviors or experiences, job satisfaction, or customer satisfaction.
• To evaluate programs or interventions: Questionnaires can be used to evaluate the effectiveness of programs or interventions by gathering information on participants’ experiences, opinions, and behaviors.
• To gather information for research: Questionnaires can be used to gather data for research purposes on a variety of topics.

When to use Questionnaire

Here are some situations when questionnaires might be used:

• When you want to collect data from a large number of people: Questionnaires are useful when you want to collect data from a large number of people. They can be distributed to a wide audience and can be completed at the respondent’s convenience.
• When you want to collect data on specific topics: Questionnaires are useful when you want to collect data on specific topics or research questions. They can be designed to ask specific questions and can be used to gather quantitative data that can be analyzed statistically.
• When you want to compare responses across groups: Questionnaires are useful when you want to compare responses across different groups of people. For example, you might want to compare responses from men and women, or from people of different ages or educational backgrounds.
• When you want to collect data anonymously: Questionnaires can be useful when you want to collect data anonymously. Respondents can complete the questionnaire without fear of judgment or repercussions, which can lead to more honest and accurate responses.
• When you want to save time and resources: Questionnaires can be more efficient and cost-effective than other methods of data collection such as interviews or focus groups. They can be completed quickly and easily, and can be analyzed using software to save time and resources.

Characteristics of Questionnaire

Here are some of the characteristics of questionnaires:

• Standardization : Questionnaires are standardized tools that ask the same questions in the same order to all respondents. This ensures that all respondents are answering the same questions and that the responses can be compared and analyzed.
• Objectivity : Questionnaires are designed to be objective, meaning that they do not contain leading questions or bias that could influence the respondent’s answers.
• Predefined responses: Questionnaires typically provide predefined response options for the respondents to choose from, which helps to standardize the responses and make them easier to analyze.
• Quantitative data: Questionnaires are designed to collect quantitative data, meaning that they provide numerical or categorical data that can be analyzed using statistical methods.
• Convenience : Questionnaires are convenient for both the researcher and the respondents. They can be distributed and completed at the respondent’s convenience and can be easily administered to a large number of people.
• Anonymity : Questionnaires can be anonymous, which can encourage respondents to answer more honestly and provide more accurate data.
• Reliability : Questionnaires are designed to be reliable, meaning that they produce consistent results when administered multiple times to the same group of people.
• Validity : Questionnaires are designed to be valid, meaning that they measure what they are intended to measure and are not influenced by other factors.

Advantage of Questionnaire

Some Advantage of Questionnaire are as follows:

• Standardization: Questionnaires allow researchers to ask the same questions to all participants in a standardized manner. This helps ensure consistency in the data collected and eliminates potential bias that might arise if questions were asked differently to different participants.
• Efficiency: Questionnaires can be administered to a large number of people at once, making them an efficient way to collect data from a large sample.
• Anonymity: Participants can remain anonymous when completing a questionnaire, which may make them more likely to answer honestly and openly.
• Cost-effective: Questionnaires can be relatively inexpensive to administer compared to other research methods, such as interviews or focus groups.
• Objectivity: Because questionnaires are typically designed to collect quantitative data, they can be analyzed objectively without the influence of the researcher’s subjective interpretation.
• Flexibility: Questionnaires can be adapted to a wide range of research questions and can be used in various settings, including online surveys, mail surveys, or in-person interviews.

Limitations of Questionnaire

Limitations of Questionnaire are as follows:

• Limited depth: Questionnaires are typically designed to collect quantitative data, which may not provide a complete understanding of the topic being studied. Questionnaires may miss important details and nuances that could be captured through other research methods, such as interviews or observations.
• R esponse bias: Participants may not always answer questions truthfully or accurately, either because they do not remember or because they want to present themselves in a particular way. This can lead to response bias, which can affect the validity and reliability of the data collected.
• Limited flexibility: While questionnaires can be adapted to a wide range of research questions, they may not be suitable for all types of research. For example, they may not be appropriate for studying complex phenomena or for exploring participants’ experiences and perceptions in-depth.
• Limited context: Questionnaires typically do not provide a rich contextual understanding of the topic being studied. They may not capture the broader social, cultural, or historical factors that may influence participants’ responses.
• Limited control : Researchers may not have control over how participants complete the questionnaire, which can lead to variations in response quality or consistency.

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On This Page:

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.

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 between questions, 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.

Further Information

• Questionnaire design and scale development
• Questionnaire Appraisal Form

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Hands-on guide to questionnaire research

Selecting, designing, and developing your questionnaire, petra m boynton.

1 Department of Primary Care and Population Sciences, University College London, Archway Campus, London N19 5LW

Trisha Greenhalgh

Associated data, short abstract.

Anybody can write down a list of questions and photocopy it, but producing worthwhile and generalisable data from questionnaires needs careful planning and imaginative design

The great popularity with questionnaires is they provide a “quick fix” for research methodology. No single method has been so abused. 1

Questionnaires offer an objective means of collecting information about people's knowledge, beliefs, attitudes, and behaviour. 2 , 3 Do our patients like our opening hours? What do teenagers think of a local antidrugs campaign and has it changed their attitudes? Why don't doctors use computers to their maximum potential? 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. Hence, despite a wealth of detailed guidance in the specialist literature, 1 - 3 , 5 w1-w8 elementary methodological errors are common. 1 Inappropriate instruments and lack of rigour inevitably lead to poor quality data, misleading conclusions, and woolly recommendations. w8 In this series we aim to present a practical guide that will enable research teams to do questionnaire research that is well designed, well managed, and non-discriminatory and which contributes to a generalisable evidence base. We start with selecting and designing the questionnaire. ​ questionnaire.

What information are you trying to collect?

You and your co-researchers may have different assumptions about precisely what information you would like your study to generate. A formal scoping exercise will ensure that you clarify goals and if necessary reach an agreed compromise. It will also flag up potential practical problems—for example, how long the questionnaire will be and how it might be administered.

As a rule of thumb, if you are not familiar enough with the research area or with a particular population subgroup to predict the range of possible responses, and especially if such details are not available in the literature, you should first use a qualitative approach (such as focus groups) to explore the territory and map key areas for further study. 6

Is a questionnaire appropriate?

People often decide to use a questionnaire for research questions that need a different method. Sometimes, a questionnaire will be appropriate only if used within a mixed methodology study—for example, to extend and quantify the findings of an initial exploratory phase. Table A on bmj.com gives some real examples where questionnaires were used inappropriately. 1

Box 1: Pitfalls of designing your own questionnaire

Natasha, a practice nurse, learns that staff at a local police station have a high incidence of health problems, which she believes are related to stress at work. She wants to test the relation between stress and health in these staff to inform the design of advice services. Natasha designs her own questionnaire. Had she completed a thorough literature search for validated measures, she would have found several high quality questionnaires that measure stress in public sector workers. 8 Natasha's hard work produces only a second rate study that she is unable to get published.

Research participants must be able to give meaningful answers (with help from a professional interviewer if necessary). Particular physical, mental, social, and linguistic needs are covered in the third article of this series. 7

Could you use an existing instrument?

Using a previously validated and published questionnaire will save you time and resources; you will be able to compare your own findings with those from other studies, you need only give outline details of the instrument when you write up your work, and you may find it easier to get published (box 1).

Increasingly, health services research uses standard questionnaires designed for producing data that can be compared across studies. For example, clinical trials routinely include measures of patients' knowledge about a disease, 9 satisfaction with services, 10 or health related quality of life. 11 - 13 w3 w9 The validity (see below) of this approach depends on whether the type and range of closed responses reflects the full range of perceptions and feelings that people in all the different potential sampling frames might hold. Importantly, health status and quality of life instruments lose their validity when used beyond the context in which they were developed. 12 , 14 , 15 w3 w10-12

If there is no “off the peg” questionnaire available, you will have to construct your own. Using one or more standard instruments alongside a short bespoke questionnaire could save you the need to develop and validate a long list of new items.

Is the questionnaire valid and reliable?

A valid questionnaire measures what it claims to measure. In reality, many fail to do this. For example, a self completion questionnaire that seeks to measure people's food intake may be invalid because it measures what they say they have eaten, not what they have actually eaten. 16 Similarly, responses on questionnaires that ask general practitioners how they manage particular clinical conditions differ significantly from actual clinical practice. w13 An instrument developed in a different time, country, or cultural context may not be a valid measure in the group you are studying. For example, the item “I often attend gay parties” may have been a valid measure of a person's sociability level in the 1950s, but the wording has a very different connotation today.

Reliable questionnaires yield consistent results from repeated samples and different researchers over time. Differences in results come from differences between participants, not from inconsistencies in how the items are understood or how different observers interpret the responses. A standardised questionnaire is one that is written and administered so all participants are asked the precisely the same questions in an identical format and responses recorded in a uniform manner. Standardising a measure increases its reliability.

Just because a questionnaire has been piloted on a few of your colleagues, used in previous studies, or published in a peer reviewed journal does not mean it is either valid or reliable. The detailed techniques for achieving validity, reliability, and standardisation are beyond the scope of this series. If you plan to develop or modify a questionnaire yourself, you must consult a specialist text on these issues. 2 , 3

How should you present your questions?

Questionnaire items may be open or closed ended and be presented in various formats ( figure ). Table B on bmj.com examines the pros and cons of the two approaches. Two words that are often used inappropriately in closed question stems are frequently and regularly. A poorly designed item might read, “I frequently engage in exercise,” and offer a Likert scale giving responses from “strongly agree” through to “strongly disagree.” But “frequently” implies frequency, so a frequency based rating scale (with options such as at least once a day, twice a week, and so on) would be more appropriate. “Regularly,” on the other hand, implies a pattern. One person can regularly engage in exercise once a month whereas another person can regularly do so four times a week. Other weasel words to avoid in question stems include commonly, usually, many, some, and hardly ever. 17 w14

Examples of formats for presenting questionnaire items

Box 2: A closed ended design that produced misleading information

Customer: I'd like to discontinue my mobile phone rental please.

Company employee: That's fine, sir, but I need to complete a form for our records on why you've made that decision. Is it (a) you have moved to another network; (b) you've upgraded within our network; or (c) you can't afford the payments?

Customer: It isn't any of those. I've just decided I don't want to own a mobile phone any more. It's more hassle than it's worth.

Company employee: [after a pause] In that case, sir, I'll have to put you down as “can't afford the payments.”

Closed ended designs enable researchers to produce aggregated data quickly, but the range of possible answers is set by the researchers not respondents, and the richness of potential responses is lower. Closed ended items often cause frustration, usually because researchers have not considered all potential responses (box 2). 18

Ticking a particular box, or even saying yes, no, or maybe can make respondents want to explain their answer, and such free text annotations may add richly to the quantitative data. You should consider inserting a free text box at the end of the questionnaire (or even after particular items or sections). Note that participants need instructions (perhaps with examples) on how to complete free text items in the same way as they do for closed questions.

If you plan to use open ended questions or invite free text comments, you must plan in advance how you will analyse these data (drawing on the skills of a qualitative researcher if necessary). 19 You must also build into the study design adequate time, skills, and resources for this analysis; otherwise you will waste participants' and researchers' time. If you do not have the time or expertise to analyse free text responses, do not invite any.

Some respondents (known as yea sayers) tend to agree with statements rather than disagree. For this reason, do not present your items so that strongly agree always links to the same broad attitude. For example, on a patient satisfaction scale, if one question is “my GP generally tries to help me out,” another question should be phrased in the negative, such as “the receptionists are usually impolite.”

Apart from questions, what else should you include?

A common error by people designing questionnaires for the first time is simply to hand out a list of the questions they want answered. Table C on bmj.com gives a checklist of other things to consider. It is particularly important to provide an introductory letter or information sheet for participants to take away after completing the questionnaire.

What should the questionnaire look like?

Researchers rarely spend sufficient time on the physical layout of their questionnaire, believing that the science lies in the content of the questions and not in such details as the font size or colour. Yet empirical studies have repeatedly shown that low response rates are often due to participants being unable to read or follow the questionnaire (box 3). 3 w6 In general, questions should be short and to the point (around 12 words or less), but for issues of a sensitive and personal nature, short questions can be perceived as abrupt and threatening, and longer sentences are preferred. w6

How should you select your sample?

Different sampling techniques will affect the questions you ask and how you administer your questionnaire (see table D on bmj.com ). For more detailed advice on sampling, see Bowling 20 and Sapsford. 3

If you are collecting quantitative data with a view to testing a hypothesis or assessing the prevalence of a disease or problem (for example, about intergroup differences in particular attitudes or health status), seek statistical advice on the minimum sample size. 3

What approvals do you need before you start?

Unlike other methods, questionnaires require relatively little specialist equipment or materials, which means that inexperienced and unsupported researchers sometimes embark on questionnaire surveys without completing the necessary formalities. In the United Kingdom, a research study on NHS patients or staff must be:

• Formally approved by the relevant person in an organisation that is registered with the Department of Health as a research sponsor (typically, a research trust, university or college) 21 ;
• Consistent with data protection law and logged on the organisation's data protection files (see next article in series) 19
• Accordant with research governance frameworks 21
• Approved by the appropriate research ethics committee (see below).

Box 3: Don't let layout let you down

Meena, a general practice tutor, wanted to study her fellow general practitioners' attitudes to a new training scheme in her primary care trust. She constructed a series of questions, but when they were written down, they covered 10 pages, which Meena thought looked off putting. She reduced the font and spacing of her questionnaire, and printed it double sided, until it was only four sides in length. But many of her colleagues refused to complete it, telling her they found it too hard to read and work through. She returned the questionnaire to its original 10 page format, which made it easier and quicker to complete, and her response rate increased greatly.

Summary points

Questionnaire studies often fail to produce high quality generalisable data

When possible, use previously validated questionnaires

Questions must be phrased appropriately for the target audience and information required

Good explanations and design will improve response rates

In addition, if your questionnaire study is part of a formal academic course (for example, a dissertation), you must follow any additional regulations such as gaining written approval from your supervisor.

A study is unethical if it is scientifically unsound, causes undue offence or trauma, breaches confidentiality, or wastes people's time or money. Written approval from a local or multicentre NHS research ethics committee (more information at www.corec.org.uk ) is essential but does not in itself make a study ethical. Those working in non-NHS institutions or undertaking research outside the NHS may need to submit an additional (non-NHS) ethical committee application to their own institution or research sponsor.

The committee will require details of the study design, copies of your questionnaire, and any accompanying information or covering letters. If the questionnaire is likely to cause distress, you should include a clear plan for providing support to both participants and researchers. Remember that just because you do not find a question offensive or distressing does not mean it will not upset others. 6

As we have shown above, designing a questionnaire study that produces usable data is not as easy as it might seem. Awareness of the pitfalls is essential both when planning research and appraising published studies. Table E on bmj.com gives a critical appraisal checklist for evaluating questionnaire studies. In the following two articles we will discuss how to select a sample, pilot and administer a questionnaire, and analyse data and approaches for groups that are hard to research.

Supplementary Material

This is the first in a series of three articles on questionnaire research

Susan Catt supplied additional references and feedback. We also thank Alicia O'Cathain, Jill Russell, Geoff Wong, Marcia Rigby, Sara Shaw, Fraser MacFarlane, and Will Callaghan for feedback on earlier versions. Numerous research students and conference delegates provided methodological questions and case examples of real life questionnaire research, which provided the inspiration and raw material for this series. We also thank the hundreds of research participants who over the years have contributed data and given feedback to our students and ourselves about the design, layout, and accessibility of instruments.

Contributors and sources: PMB and TG have taught research methods in a primary care setting for the past 13 years, specialising in practical approaches and using the experiences and concerns of researchers and participants as the basis of learning. This series of papers arose directly from questions asked about real questionnaire studies. To address these questions we explored a wide range of sources from the psychological and health services research literature.

Competing interests: None declared.

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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. Creating good measures involves both writing good questions and organizing them to form the questionnaire.

Questionnaire design is a multistage process that requires attention to many details at once. Designing the questionnaire is complicated because surveys can ask about topics in varying degrees of detail, questions can be asked in different ways, and questions asked earlier in a survey may influence how people respond to later questions. Researchers are also often interested in measuring change over time and therefore must be attentive to how opinions or behaviors have been measured in prior surveys.

Surveyors may conduct pilot tests or focus groups in the early stages of questionnaire development in order to better understand how people think about an issue or comprehend a question. Pretesting a survey is an essential step in the questionnaire design process to evaluate how people respond to the overall questionnaire and specific questions, especially when questions are being introduced for the first time.

For many years, surveyors approached questionnaire design as an art, but substantial research over the past forty years has demonstrated that there is a lot of science involved in crafting a good survey questionnaire. Here, we discuss the pitfalls and best practices of designing questionnaires.

Question development

There are several steps involved in developing a survey questionnaire. The first is identifying what topics will be covered in the survey. For Pew Research Center surveys, this involves thinking about what is happening in our nation and the world and what will be relevant to the public, policymakers and the media. We also track opinion on a variety of issues over time so we often ensure that we update these trends on a regular basis to better understand whether people’s opinions are changing.

At Pew Research Center, questionnaire development is a collaborative and iterative process where staff meet to discuss drafts of the questionnaire several times over the course of its development. We frequently test new survey questions ahead of time through qualitative research methods such as  focus groups , cognitive interviews, pretesting (often using an  online, opt-in sample ), or a combination of these approaches. Researchers use insights from this testing to refine questions before they are asked in a production survey, such as on the ATP.

Measuring change over time

Many surveyors want to track changes over time in people’s attitudes, opinions and behaviors. To measure change, questions are asked at two or more points in time. A cross-sectional design surveys different people in the same population at multiple points in time. A panel, such as the ATP, surveys the same people over time. However, it is common for the set of people in survey panels to change over time as new panelists are added and some prior panelists drop out. Many of the questions in Pew Research Center surveys have been asked in prior polls. Asking the same questions at different points in time allows us to report on changes in the overall views of the general public (or a subset of the public, such as registered voters, men or Black Americans), or what we call “trending the data”.

When measuring change over time, it is important to use the same question wording and to be sensitive to where the question is asked in the questionnaire to maintain a similar context as when the question was asked previously (see  question wording  and  question order  for further information). All of our survey reports include a topline questionnaire that provides the exact question wording and sequencing, along with results from the current survey and previous surveys in which we asked the question.

The Center’s transition from conducting U.S. surveys by live telephone interviewing to an online panel (around 2014 to 2020) complicated some opinion trends, but not others. Opinion trends that ask about sensitive topics (e.g., personal finances or attending religious services ) or that elicited volunteered answers (e.g., “neither” or “don’t know”) over the phone tended to show larger differences than other trends when shifting from phone polls to the online ATP. The Center adopted several strategies for coping with changes to data trends that may be related to this change in methodology. If there is evidence suggesting that a change in a trend stems from switching from phone to online measurement, Center reports flag that possibility for readers to try to head off confusion or erroneous conclusions.

Open- and closed-ended questions

One of the most significant decisions that can affect how people answer questions is whether the question is posed as an open-ended question, where respondents provide a response in their own words, or a closed-ended question, where they are asked to choose from a list of answer choices.

For example, in a poll conducted after the 2008 presidential election, people responded very differently to two versions of the question: “What one issue mattered most to you in deciding how you voted for president?” One was closed-ended and the other open-ended. In the closed-ended version, respondents were provided five options and could volunteer an option not on the list.

When explicitly offered the economy as a response, more than half of respondents (58%) chose this answer; only 35% of those who responded to the open-ended version volunteered the economy. Moreover, among those asked the closed-ended version, fewer than one-in-ten (8%) provided a response other than the five they were read. By contrast, fully 43% of those asked the open-ended version provided a response not listed in the closed-ended version of the question. All of the other issues were chosen at least slightly more often when explicitly offered in the closed-ended version than in the open-ended version. (Also see  “High Marks for the Campaign, a High Bar for Obama”  for more information.)

Researchers will sometimes conduct a pilot study using open-ended questions to discover which answers are most common. They will then develop closed-ended questions based off that pilot study that include the most common responses as answer choices. In this way, the questions may better reflect what the public is thinking, how they view a particular issue, or bring certain issues to light that the researchers may not have been aware of.

When asking closed-ended questions, the choice of options provided, how each option is described, the number of response options offered, and the order in which options are read can all influence how people respond. One example of the impact of how categories are defined can be found in a Pew Research Center poll conducted in January 2002. When half of the sample was asked whether it was “more important for President Bush to focus on domestic policy or foreign policy,” 52% chose domestic policy while only 34% said foreign policy. When the category “foreign policy” was narrowed to a specific aspect – “the war on terrorism” – far more people chose it; only 33% chose domestic policy while 52% chose the war on terrorism.

In most circumstances, the number of answer choices should be kept to a relatively small number – just four or perhaps five at most – especially in telephone surveys. Psychological research indicates that people have a hard time keeping more than this number of choices in mind at one time. When the question is asking about an objective fact and/or demographics, such as the religious affiliation of the respondent, more categories can be used. In fact, they are encouraged to ensure inclusivity. For example, Pew Research Center’s standard religion questions include more than 12 different categories, beginning with the most common affiliations (Protestant and Catholic). Most respondents have no trouble with this question because they can expect to see their religious group within that list in a self-administered survey.

In addition to the number and choice of response options offered, the order of answer categories can influence how people respond to closed-ended questions. Research suggests that in telephone surveys respondents more frequently choose items heard later in a list (a “recency effect”), and in self-administered surveys, they tend to choose items at the top of the list (a “primacy” effect).

Because of concerns about the effects of category order on responses to closed-ended questions, many sets of response options in Pew Research Center’s surveys are programmed to be randomized to ensure that the options are not asked in the same order for each respondent. Rotating or randomizing means that questions or items in a list are not asked in the same order to each respondent. Answers to questions are sometimes affected by questions that precede them. By presenting questions in a different order to each respondent, we ensure that each question gets asked in the same context as every other question the same number of times (e.g., first, last or any position in between). This does not eliminate the potential impact of previous questions on the current question, but it does ensure that this bias is spread randomly across all of the questions or items in the list. For instance, in the example discussed above about what issue mattered most in people’s vote, the order of the five issues in the closed-ended version of the question was randomized so that no one issue appeared early or late in the list for all respondents. Randomization of response items does not eliminate order effects, but it does ensure that this type of bias is spread randomly.

Questions with ordinal response categories – those with an underlying order (e.g., excellent, good, only fair, poor OR very favorable, mostly favorable, mostly unfavorable, very unfavorable) – are generally not randomized because the order of the categories conveys important information to help respondents answer the question. Generally, these types of scales should be presented in order so respondents can easily place their responses along the continuum, but the order can be reversed for some respondents. For example, in one of Pew Research Center’s questions about abortion, half of the sample is asked whether abortion should be “legal in all cases, legal in most cases, illegal in most cases, illegal in all cases,” while the other half of the sample is asked the same question with the response categories read in reverse order, starting with “illegal in all cases.” Again, reversing the order does not eliminate the recency effect but distributes it randomly across the population.

Question wording

The choice of words and phrases in a question is critical in expressing the meaning and intent of the question to the respondent and ensuring that all respondents interpret the question the same way. Even small wording differences can substantially affect the answers people provide.

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An example of a wording difference that had a significant impact on responses comes from a January 2003 Pew Research Center survey. When people were asked whether they would “favor or oppose taking military action in Iraq to end Saddam Hussein’s rule,” 68% said they favored military action while 25% said they opposed military action. However, when asked whether they would “favor or oppose taking military action in Iraq to end Saddam Hussein’s rule  even if it meant that U.S. forces might suffer thousands of casualties, ” responses were dramatically different; only 43% said they favored military action, while 48% said they opposed it. The introduction of U.S. casualties altered the context of the question and influenced whether people favored or opposed military action in Iraq.

There has been a substantial amount of research to gauge the impact of different ways of asking questions and how to minimize differences in the way respondents interpret what is being asked. The issues related to question wording are more numerous than can be treated adequately in this short space, but below are a few of the important things to consider:

First, it is important to ask questions that are clear and specific and that each respondent will be able to answer. If a question is open-ended, it should be evident to respondents that they can answer in their own words and what type of response they should provide (an issue or problem, a month, number of days, etc.). Closed-ended questions should include all reasonable responses (i.e., the list of options is exhaustive) and the response categories should not overlap (i.e., response options should be mutually exclusive). Further, it is important to discern when it is best to use forced-choice close-ended questions (often denoted with a radio button in online surveys) versus “select-all-that-apply” lists (or check-all boxes). A 2019 Center study found that forced-choice questions tend to yield more accurate responses, especially for sensitive questions.  Based on that research, the Center generally avoids using select-all-that-apply questions.

It is also important to ask only one question at a time. Questions that ask respondents to evaluate more than one concept (known as double-barreled questions) – such as “How much confidence do you have in President Obama to handle domestic and foreign policy?” – are difficult for respondents to answer and often lead to responses that are difficult to interpret. In this example, it would be more effective to ask two separate questions, one about domestic policy and another about foreign policy.

In general, questions that use simple and concrete language are more easily understood by respondents. It is especially important to consider the education level of the survey population when thinking about how easy it will be for respondents to interpret and answer a question. Double negatives (e.g., do you favor or oppose  not  allowing gays and lesbians to legally marry) or unfamiliar abbreviations or jargon (e.g., ANWR instead of Arctic National Wildlife Refuge) can result in respondent confusion and should be avoided.

Similarly, it is important to consider whether certain words may be viewed as biased or potentially offensive to some respondents, as well as the emotional reaction that some words may provoke. For example, in a 2005 Pew Research Center survey, 51% of respondents said they favored “making it legal for doctors to give terminally ill patients the means to end their lives,” but only 44% said they favored “making it legal for doctors to assist terminally ill patients in committing suicide.” Although both versions of the question are asking about the same thing, the reaction of respondents was different. In another example, respondents have reacted differently to questions using the word “welfare” as opposed to the more generic “assistance to the poor.” Several experiments have shown that there is much greater public support for expanding “assistance to the poor” than for expanding “welfare.”

We often write two versions of a question and ask half of the survey sample one version of the question and the other half the second version. Thus, we say we have two  forms  of the questionnaire. Respondents are assigned randomly to receive either form, so we can assume that the two groups of respondents are essentially identical. On questions where two versions are used, significant differences in the answers between the two forms tell us that the difference is a result of the way we worded the two versions.

One of the most common formats used in survey questions is the “agree-disagree” format. In this type of question, respondents are asked whether they agree or disagree with a particular statement. Research has shown that, compared with the better educated and better informed, less educated and less informed respondents have a greater tendency to agree with such statements. This is sometimes called an “acquiescence bias” (since some kinds of respondents are more likely to acquiesce to the assertion than are others). This behavior is even more pronounced when there’s an interviewer present, rather than when the survey is self-administered. A better practice is to offer respondents a choice between alternative statements. A Pew Research Center experiment with one of its routinely asked values questions illustrates the difference that question format can make. Not only does the forced choice format yield a very different result overall from the agree-disagree format, but the pattern of answers between respondents with more or less formal education also tends to be very different.

One other challenge in developing questionnaires is what is called “social desirability bias.” People have a natural tendency to want to be accepted and liked, and this may lead people to provide inaccurate answers to questions that deal with sensitive subjects. Research has shown that respondents understate alcohol and drug use, tax evasion and racial bias. They also may overstate church attendance, charitable contributions and the likelihood that they will vote in an election. Researchers attempt to account for this potential bias in crafting questions about these topics. For instance, when Pew Research Center surveys ask about past voting behavior, it is important to note that circumstances may have prevented the respondent from voting: “In the 2012 presidential election between Barack Obama and Mitt Romney, did things come up that kept you from voting, or did you happen to vote?” The choice of response options can also make it easier for people to be honest. For example, a question about church attendance might include three of six response options that indicate infrequent attendance. Research has also shown that social desirability bias can be greater when an interviewer is present (e.g., telephone and face-to-face surveys) than when respondents complete the survey themselves (e.g., paper and web surveys).

Lastly, because slight modifications in question wording can affect responses, identical question wording should be used when the intention is to compare results to those from earlier surveys. Similarly, because question wording and responses can vary based on the mode used to survey respondents, researchers should carefully evaluate the likely effects on trend measurements if a different survey mode will be used to assess change in opinion over time.

Question order

Once the survey questions are developed, particular attention should be paid to how they are ordered in the questionnaire. Surveyors must be attentive to how questions early in a questionnaire may have unintended effects on how respondents answer subsequent questions. Researchers have demonstrated that the order in which questions are asked can influence how people respond; earlier questions can unintentionally provide context for the questions that follow (these effects are called “order effects”).

One kind of order effect can be seen in responses to open-ended questions. Pew Research Center surveys generally ask open-ended questions about national problems, opinions about leaders and similar topics near the beginning of the questionnaire. If closed-ended questions that relate to the topic are placed before the open-ended question, respondents are much more likely to mention concepts or considerations raised in those earlier questions when responding to the open-ended question.

For closed-ended opinion questions, there are two main types of order effects: contrast effects ( where the order results in greater differences in responses), and assimilation effects (where responses are more similar as a result of their order).

An example of a contrast effect can be seen in a Pew Research Center poll conducted in October 2003, a dozen years before same-sex marriage was legalized in the U.S. That poll found that people were more likely to favor allowing gays and lesbians to enter into legal agreements that give them the same rights as married couples when this question was asked after one about whether they favored or opposed allowing gays and lesbians to marry (45% favored legal agreements when asked after the marriage question, but 37% favored legal agreements without the immediate preceding context of a question about same-sex marriage). Responses to the question about same-sex marriage, meanwhile, were not significantly affected by its placement before or after the legal agreements question.

Another experiment embedded in a December 2008 Pew Research Center poll also resulted in a contrast effect. When people were asked “All in all, are you satisfied or dissatisfied with the way things are going in this country today?” immediately after having been asked “Do you approve or disapprove of the way George W. Bush is handling his job as president?”; 88% said they were dissatisfied, compared with only 78% without the context of the prior question.

Responses to presidential approval remained relatively unchanged whether national satisfaction was asked before or after it. A similar finding occurred in December 2004 when both satisfaction and presidential approval were much higher (57% were dissatisfied when Bush approval was asked first vs. 51% when general satisfaction was asked first).

Several studies also have shown that asking a more specific question before a more general question (e.g., asking about happiness with one’s marriage before asking about one’s overall happiness) can result in a contrast effect. Although some exceptions have been found, people tend to avoid redundancy by excluding the more specific question from the general rating.

Assimilation effects occur when responses to two questions are more consistent or closer together because of their placement in the questionnaire. We found an example of an assimilation effect in a Pew Research Center poll conducted in November 2008 when we asked whether Republican leaders should work with Obama or stand up to him on important issues and whether Democratic leaders should work with Republican leaders or stand up to them on important issues. People were more likely to say that Republican leaders should work with Obama when the question was preceded by the one asking what Democratic leaders should do in working with Republican leaders (81% vs. 66%). However, when people were first asked about Republican leaders working with Obama, fewer said that Democratic leaders should work with Republican leaders (71% vs. 82%).

The order questions are asked is of particular importance when tracking trends over time. As a result, care should be taken to ensure that the context is similar each time a question is asked. Modifying the context of the question could call into question any observed changes over time (see  measuring change over time  for more information).

A questionnaire, like a conversation, should be grouped by topic and unfold in a logical order. It is often helpful to begin the survey with simple questions that respondents will find interesting and engaging. Throughout the survey, an effort should be made to keep the survey interesting and not overburden respondents with several difficult questions right after one another. Demographic questions such as income, education or age should not be asked near the beginning of a survey unless they are needed to determine eligibility for the survey or for routing respondents through particular sections of the questionnaire. Even then, it is best to precede such items with more interesting and engaging questions. One virtue of survey panels like the ATP is that demographic questions usually only need to be asked once a year, not in each survey.

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How to Design Effective Research Questionnaires for Robust Findings

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.

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:

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:

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

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.

Great insights there Doc

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• Writing Strong Research Questions | Criteria & Examples

Writing Strong Research Questions | Criteria & Examples

Published on October 26, 2022 by Shona McCombes . Revised on November 21, 2023.

A research question pinpoints exactly what you want to find out in your work. A good research question is essential to guide your research paper , dissertation , or thesis .

All research questions should be:

• Focused on a single problem or issue
• Researchable using primary and/or secondary sources
• Feasible to answer within the timeframe and practical constraints
• Specific enough to answer thoroughly
• Complex enough to develop the answer over the space of a paper or thesis
• Relevant to your field of study and/or society more broadly

Table of contents

How to write a research question, what makes a strong research question, using sub-questions to strengthen your main research question, research questions quiz, other interesting articles, frequently asked questions about research questions.

You can follow these steps to develop a strong research question:

• Choose your topic
• Do some preliminary reading about the current state of the field
• Narrow your focus to a specific niche
• Identify the research problem that you will address

The way you frame your question depends on what your research aims to achieve. The table below shows some examples of how you might formulate questions for different purposes.

Using your research problem to develop your research question

Note that while most research questions can be answered with various types of research , the way you frame your question should help determine your choices.

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Research questions anchor your whole project, so it’s important to spend some time refining them. The criteria below can help you evaluate the strength of your research question.

Focused and researchable

Feasible and specific

Complex and arguable

Relevant and original

Chances are that your main research question likely can’t be answered all at once. That’s why sub-questions are important: they allow you to answer your main question in a step-by-step manner.

Good sub-questions should be:

• Less complex than the main question
• Focused only on 1 type of research
• Presented in a logical order

Here are a few examples of descriptive and framing questions:

• Descriptive: According to current government arguments, how should a European bank tax be implemented?
• Descriptive: Which countries have a bank tax/levy on financial transactions?
• Framing: How should a bank tax/levy on financial transactions look at a European level?

Keep in mind that sub-questions are by no means mandatory. They should only be asked if you need the findings to answer your main question. If your main question is simple enough to stand on its own, it’s okay to skip the sub-question part. As a rule of thumb, the more complex your subject, the more sub-questions you’ll need.

Try to limit yourself to 4 or 5 sub-questions, maximum. If you feel you need more than this, it may be indication that your main research question is not sufficiently specific. In this case, it’s is better to revisit your problem statement and try to tighten your main question up.

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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

The way you present your research problem in your introduction varies depending on the nature of your research paper . A research paper that presents a sustained argument will usually encapsulate this argument in a thesis statement .

A research paper designed to present the results of empirical research tends to present a research question that it seeks to answer. It may also include a hypothesis —a prediction that will be confirmed or disproved by your research.

As you cannot possibly read every source related to your topic, it’s important to evaluate sources to assess their relevance. Use preliminary evaluation to determine whether a source is worth examining in more depth.

This involves:

• Reading abstracts , prefaces, introductions , and conclusions
• Looking at the table of contents to determine the scope of the work
• Consulting the index for key terms or the names of important scholars

A research hypothesis is your proposed answer to your research question. The research hypothesis usually includes an explanation (“ x affects y because …”).

A statistical hypothesis, on the other hand, is a mathematical statement about a population parameter. Statistical hypotheses always come in pairs: the null and alternative hypotheses . In a well-designed study , the statistical hypotheses correspond logically to the research hypothesis.

Formulating a main research question can be a difficult task. Overall, your question should contribute to solving the problem that you have defined in your problem statement .

However, it should also fulfill criteria in three main areas:

• Researchability
• Feasibility and specificity
• Relevance and originality

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Identifying your research question

Making informed decisions about what to study, and defining your research question, even within a predetermined field, is critical to a successful research career, and can be one of the hardest challenges for a scientist.

Being knowledgeable about the state of your field and up-to-date with recent developments can help you:

• Make decisions about  what to study within niche research areas
• Identify  top researchers  in your field whose work you can follow and potentially collaborate with
• Find  important journals to read regularly and publish in
• Explain to others  why your work is important by being able to recount the bigger picture

How can you identify a research question?

Reading regularly is the most common way of identifying a good research question. This enables you to keep up to date with recent advancements and identify certain issues or unsolved problems that keep appearing.

Begin by searching for and reading literature in your field. Start with  general interest  journals, but don’t limit yourself to journal publications only; you can also look for clues in the news or on research blogs. Once you have identified a few interesting topics, you should be reading the table of contents of journals and the abstracts of most articles in that subject area. Papers that are directly related to your research you should read in their entirety.

TIP Keep an eye out for  Review papers and special issues in your chosen subject area as they are very helpful in discovering new areas and hot topics.

TIP: you can sign up to receive table of contents or notifications when articles are published in your field from most journals or publishers.

TIP: Joining a journal club is a great way to read and dissect published papers in and around your subject area. Usually consisting of 5-10 people from the same research group or institute they meet to evaluate the good and bad points of the research presented in the paper. This not only helps you keep up to date with the field but helps you become familiar with what is necessary for a good paper which can help when you come to write your own.

If possible, communicate with some of the authors of these manuscripts via email or in person. Going to conferences if possible is a great way to meet some of these authors. Often,  talking with the author  of an important work in your research area will give you more ideas than just reading the manuscript would.

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• NCHS Research and Development Survey
• RANDS Questionnaires, Data, and Documentation
• RANDS During COVID-19
• RANDS Publications

Related Topics:

• Collaborating Center for Questionnaire Design and Evaluation Research

National Center for Health Statistics

At a glance.

• Explore this gateway to data from the Research and Development Survey (RANDS).
• Find survey methods, questionnaires, and other resources used to collect RANDS data.
• Access important technical information to help you understand, analyze, and use RANDS data.

About these resources

Public-use data and documentation are available for the Research and Development Survey (RANDS) Rounds 1– 8. Visit the RANDS during COVID-19 page to find public-use data and documentation for Rounds 1, 2, and 3 of that survey.

Each data file includes—

• Questionnaire data
• Respondent demographic characteristics
• Sample weights (might not be included on the nonprobability data files)

Data files are available in .csv and .txt formats and include—

• The codebook of variables
• Example SAS code to read the .txt file
• SAS formats
• Survey questionnaire

RANDS methods

Rounds 1–7 of RANDS were conducted as a probability survey using recruited panels. Data files for Rounds 1–3 of RANDS do not include sampling strata. Sample weights are included on all RANDS data files collected from probability samples.

Round 8 of RANDS used both a probability and a nonprobability sample. The probability samples were divided into subgroups (sampling strata) by demographic factors such as age group, sex, race and ethnicity, and education level.

NCHS has contracted with different commercial survey panels companies to administer RANDS since 2015. The panels and sample weighting methods have differed between the contractors.

RANDS Rounds

Rands 1 (2015).

RANDS 1 was conducted by Gallup in the fall of 2015. Data collection began on November 2, 2015, and ended on December 9, 2015. Gallup invited 9,809 of the Gallup Panel members to complete the RANDS web questionnaire. Of the members contacted, 2,304 completed the survey, resulting in a 23.5% completion rate.

The survey included existing questions from the National Health Interview Survey .

Access RANDS 1 data and documentation.

RANDS 2 (2016)

RANDS 2 was conducted by Gallup in the spring of 2016. Data collection began on March 29, 2016, and ended on April 13, 2016. Gallup invited 8,231 of the Gallup Panel members to complete the RANDS web questionnaire. Of the members contacted, 2,480 completed the survey, resulting in a 30.1% completion rate.

The survey included existing questions from the National Health Interview Survey and targeted embedded cognitive probe questions.

Access RANDS 2 data and documentation.

RANDS 3 (2019)

RANDS 3 was conducted by NORC at the University of Chicago in the spring of 2019. Data collection began on April 11, 2019, and ended on April 24, 2019. NORC invited 4,255 of its AmeriSpeak panel members to complete the RANDS web questionnaire. Of the panel members contacted, 2,646 completed the survey, resulting in a 62.2% completion rate.

This survey included existing questions from the National Health Interview Survey , cognitive probe questions, and split sample experiments.

Access RANDS 3 data and documentation.

RANDS 4 (2020)

RANDS 4 was conducted by NORC at the University of Chicago in the summer of 2020. Data collection began on July 17, 2020, and ended on August 24, 2020. NORC invited 4,914 of its AmeriSpeak panel members to complete the RANDS questionnaire via web and phone administration. Of the panel members contacted, 3,442 completed the survey, resulting in a 70.0% completion rate.

This survey included existing questions from the National Health Interview Survey , cognitive probe questions, and several experiments.

Access RANDS 4 data and documentation.

RANDS 5 (2022)

RANDS 5 was conducted by NORC at the University of Chicago in the winter of 2022. Data collection began on January 21, 2022, and ended on March 9, 2022. NORC invited 9,469 AmeriSpeak panel members to complete the questionnaire via web and phone administration. Of the panel members contacted, 6,896 completed the survey, resulting in a 72.8% completion rate.

This survey included existing questions from the National Intimate Partner and Sexual Violence Survey and cognitive probe questions.

Access RANDS 5 data and documentation.

RANDS 6 (2022)

RANDS 6 was conducted by NORC at the University of Chicago in the summer of 2022. Data collection began on August 10, 2022, and ended on August 29, 2022. NORC invited 3,135 AmeriSpeak panel members to complete the questionnaire via web and phone administration. Of the panel members contacted, 2,312 completed the survey, resulting in a 73.7% completion rate.

This survey included existing questions from the National Survey of Family Growth , cognitive probe questions, and questions about gender identity.

Access RANDS 6 data and documentation.

RANDS 7 (2022)

RANDS 7 was conducted by NORC at the University of Chicago in the fall of 2022. Data collection began on November 3, 2022, and ended on December 12, 2022. NORC invited 10,320 AmeriSpeak panel members to complete the questionnaire via web and phone administration. Of the panel members contacted, 6,821 completed the survey, resulting in a 66.1% completion rate.

This survey included existing questions from the National Health Interview Survey , cognitive probe questions, and questions about firearm safety, gender identity, long symptoms of coronavirus disease (COVID-19) and traumatic brain injury.

Access RANDS 7 data and documentation.

RANDS 8 (2023)

RANDS 8 was conducted by NORC at the University of Chicago in the summer of 2023. Data collection began on June 8, 2023, and ended on July 24, 2023. RANDS 8 used both a probability sample panel and a nonprobability sample panel.

NORC invited 10,014 AmeriSpeak panel members to complete the questionnaire via web and phone administration. Of the panel members contacted, 6,857 completed the survey, resulting in a 68.5% completion rate.

NORC recruited 9,791 adult participants in the nonprobability sample using Lucid and CMI online opt-in panels. This included an oversample of gender minorities.

This survey included existing questions from the National Health Interview Survey , cognitive probe questions, and questions about gender identity, emotional well-being, and discrimination.

• Access RANDS 8 probability sample data and documentation.
• Access RANDS 8 nonprobability sample data and documentation.

Questions about RANDS data?‎

Related pages.

NCHS collects, analyzes, and disseminates timely, relevant, and accurate health data and statistics to inform the public and guide program and policy decisions to improve our nation’s health.

Research and Development Survey

How To Do Survey Research? All Questions Answered

Thanks to survey research, we can learn what a group of people thinks and feels. It’s useful for making good decisions.

In this article, we’ll show you how to do survey research step-by-step. You’ll also learn why survey research is important and who can benefit from it.

Let’s get started:

What is survey research?

Survey research is all about gathering data from a specific group to get insights into different topics. It’s a go-to method for understanding opinions, behaviors, and traits in a target population. You’ll see it used in many fields like market research, public health, and social sciences.

This approach is popular because professionals can figure out what people think, how they act, and what makes them tick. Whether you’re trying to gauge customer satisfaction , public health trends, or social attitudes, surveys are a handy tool.

It’s a straightforward way to get the information you need to make decisions and understand your audience better.

Key characteristics of survey research

Survey research is unique because it’s systematic . Researchers use popular methods for survey research like online, phone, and in-person surveys to reach their audience.

A good survey has a mix of question types, including open-ended ones, to get a wide range of answers.

Surveys can focus on the whole population or just a sample. Getting a representative sample is key for accurate results. Researchers then analyze the data to find useful insights. This helps them understand trends and behaviors in the group they studied.

Advantages of survey research for businesses and researchers

Survey research has many perks for businesses and researchers. One big advantage is its flexibility in how surveys are done. From phone surveys to mobile surveys, and mixed-mode surveys that combine different techniques, there are many ways to reach people and gather data effectively.

Businesses can get a competitive edge with survey research. For instance, panel surveys collect data from a specific group over time, helping track changes in consumer behavior and preferences. This ongoing data collection can inform product development, marketing strategies, and customer service improvements.

Researchers also gain from survey research’s ability to provide comprehensive data. Census surveys aim to gather info from the entire population and are invaluable for large-scale studies. Survey research centers, like those at universities or places like Sage Publications, often use these methods for extensive projects that add to academic knowledge and have practical applications.

How to do survey research? A step-by-step guide

 Conducting survey research is easier than it sounds.

Check out our detailed step-by-step guide describing each step in an easily understandable format:

Step 1: Define the research objective

• Identifying the purpose of the survey

Before starting your survey research, be sure to pinpoint the survey’s purpose. Are you looking to gather consumer feedback , understand employee satisfaction, or explore market trends? Clarifying the objective helps focus the entire project.

• Determining the key characteristics and target audience

Next, identify the key characteristics of your target audience. Who are you trying to reach? Age, gender, location, and occupation can all be relevant factors. Knowing your audience is great for tailoring your questions and survey approach.

Step 2: Choose the type of survey

• Overview of different types of survey research

Surveys come in various forms, each suitable for different research needs. Some common survey methods include online surveys, telephone surveys, postal surveys, and person surveys.

• Census surveys vs. sample surveys

Census surveys aim to gather data from the entire population, while sample surveys focus on a subset. Each has its pros and cons, depending on the research scope and resources.

• Methods of survey administration

Online surveys : convenient and cost-effective for reaching a large audience.

Telephone surveys : useful for detailed responses but can be time-consuming.

Postal surveys : traditional method, still valuable for certain demographics.

Person surveys : face-to-face interaction can yield in-depth insights.

Mobile surveys : great for quick feedback on the go.

Mixed-mode surveys : combining different methods can improve response rates and data quality.

Step 3: Design the survey

• Crafting clear and concise questions

Well-crafted questions are the backbone of survey research. Aim for clarity and brevity to avoid confusing respondents.

• Using a variety of question types: open-ended questions, closed-ended questions

Incorporate both open-ended questions for detailed feedback and closed-ended questions for quantitative analysis. This mix lets you cover different aspects of the research topic.

• Tips for effective survey design

Avoid leading questions that can bias survey responses. Group similar questions to maintain a logical flow. Pre-test the survey with a small group to catch any issues.

Step 4: Select the survey respondents

• Defining the entire population vs. target population

Determine if you need data from the entire population or a specific target group. This decision influences your sampling strategy.

• Choosing a representative sample

A representative sample reflects the broader population. Avoiding bias in survey research is key to obtaining valid results.

• Methods for sampling: random sampling, stratified sampling

Random sampling : each individual has an equal chance of being selected.

Stratified sampling : divides the population into subgroups and samples each proportionally.

Step 5: Administer the survey

• Best practices for conducting online surveys

Make surveys user-friendly with a clean layout and easy navigation. Personalize invitations to boost participation.

• Effective methods for phone and postal surveys

Use a script for phone surveys to maintain consistency. For postal surveys, include a return envelope to encourage responses.

• Using survey software for efficient administration

Survey software can streamline the data collection process, track response rates, and manage survey distribution.

Step 6: Collect and analyze the data

• Techniques for data collection

Follow up with non-respondents to improve response rates. Use multiple reminders if necessary.

• Analyzing survey results for actionable insights

Data analysis should focus on identifying trends and patterns. Software tools can assist in visualizing the data and spotting correlations.

Step 7: Report the findings

• Presenting data in a clear and meaningful way

Use charts, graphs, and tables to present data visually. This makes complex information more digestible.

• Using visual aids to enhance understanding

Visual aids help highlight key findings and support your conclusions.

• Drawing conclusions and making recommendations

Summarize the findings, highlight applications of survey research, and suggest practical steps based on the data.

Check this out: online survey examples and templates

Differences between qualitative and quantitative survey research

Survey research comes in two flavors: qualitative and quantitative .

Qualitative research digs into the reasons and motivations behind what people do. It uses open-ended questions, letting respondents share detailed, narrative responses. This approach gives deep, nuanced insights but usually involves a smaller group of people.

Quantitative research, on the other hand, deals with numbers. It uses structured surveys with closed-ended questions to collect data that can be crunched statistically. This method works with larger groups and provides generalizable results. It’s great for measuring how common certain behaviors or opinions are in a population.

Importance of understanding human behavior

Survey research is important because it lets us see the complexities of human behavior. 

As a result of collecting and analyzing responses from a target population, researchers can uncover patterns, preferences, and motivations. 

This understanding is essential for fields ranging from marketing to public policy, as it shapes strategies and decisions.

How survey research provides actionable insights

Survey research is a great way to get actionable insights. By gathering data directly from people, researchers can make decisions based on real-world information. 

For example, using quantitative methods, businesses can spot market trends, customer preferences, and areas for improvement. These insights aren’t just theoretical – they lead to practical steps that can improve products, services, and strategies.

Who can benefit from survey research?

#1 Market research firms

Market research firms live and breathe data. They use survey research to understand consumer behavior and preferences. 

By gathering insights through various methods, such as online surveys and phone surveys, these firms help businesses tailor their products and marketing strategies. 

You get to know your customers better, making it easier to meet their needs and stay ahead of the competition.

#2 Educational institutions

Schools, colleges, and universities rely on survey research to improve educational outcomes. They collect feedback from students, parents, and staff to identify areas for improvement. 

Whether it’s course content, teaching methods, or campus facilities, surveys let educational institutions enhance the learning experience. 

Plus, they can use the data to secure funding and support from stakeholders.

#3 Healthcare organizations

Healthcare organizations benefit from survey research too. Collecting patient feedback lets them improve care quality and patient satisfaction. 

Surveys identify issues in service delivery, patient safety, and overall healthcare experience. 

Whether it’s a hospital, clinic, or a public health department, using survey research leads to better healthcare outcomes for everyone involved.

#4 Government agencies

Government agencies use surveys to gather public opinion on various policies and programs. They aim to understand the needs and preferences of citizens to make informed decisions. 

From local governments to federal agencies, survey research aids in crafting policies that truly reflect public interest. 

It’s a way for you to have your voice heard on matters that affect your community and daily life.

#5 Non-profits

Non-profits leverage survey research to evaluate the impact of their programs and services. 

They gather insights from beneficiaries, donors, and volunteers to make their efforts align with their mission. Whether it’s a charity, foundation, or advocacy group, surveys help non-profits maximize their impact and make a difference. 

It’s all about understanding how to serve better and drive positive change in society.

Start your survey research with SurveyLab today

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Whether you’re interested in customer experience, human resources, market research, or digital UX, our platform is tailored to meet your unique needs.

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• Seamless integration: easily connect SurveyLab with your CRM, eShop, BI/DWH, and more. Automate your research process so you can focus on what matters – growing your business.
• Mobile-friendly surveys: reach your audience on any device. Our surveys adjust automatically, so you get a seamless experience whether on a PC, tablet, or smartphone.
• Dedicated support: from consulting services to software development and training, our support team is ready to assist you every step of the way.
• Multi-language capabilities: create surveys in any language, including right-to-left languages like Hebrew and Arabic. Our system detects browser settings and provides the appropriate translation.

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Title Page Setup

A title page is required for all APA Style papers. There are both student and professional versions of the title page. Students should use the student version of the title page unless their instructor or institution has requested they use the professional version. APA provides a student title page guide (PDF, 199KB) to assist students in creating their title pages.

Student title page

The student title page includes the paper title, author names (the byline), author affiliation, course number and name for which the paper is being submitted, instructor name, assignment due date, and page number, as shown in this example.

Title page setup is covered in the seventh edition APA Style manuals in the Publication Manual Section 2.3 and the Concise Guide Section 1.6

Related handouts

• Student Title Page Guide (PDF, 263KB)
• Student Paper Setup Guide (PDF, 3MB)

Student papers do not include a running head unless requested by the instructor or institution.

Follow the guidelines described next to format each element of the student title page.

Professional title page

The professional title page includes the paper title, author names (the byline), author affiliation(s), author note, running head, and page number, as shown in the following example.

Follow the guidelines described next to format each element of the professional title page.

• Find Your Calm: Managing Stress & Anxiety

Stress Symptoms

What Is Stress?

Stress is your body's response to a challenging or demanding situation. When you feel stressed, your body releases certain hormones. Your hormones are chemical signals your body uses to tell your body systems what to do. The hormones your body releases when you're stressed get you ready to meet the challenge or demand in your environment. During the stress response, your body gets ready to flee or fight by increasing your heart rate, breathing rate, and blood pressure.

Not all stress is bad. In small doses, stress can help you accomplish tasks or prevent you from getting hurt. For example, stress is what makes you slam on the brakes to avoid hitting a suddenly stopped car in front of you. That's a good thing.

But people handle stressful situations differently. What stresses you out may be of little concern to someone else. 

Stress can be a short-term response to something that happens once or only a few times or a long-term response to something that keeps happening. Our bodies can usually handle short-term stress without long-term effects. But long-term or chronic stress can make you sick, both mentally and physically.

The first step to managing your stress is to know the symptoms. But recognizing stress symptoms may be harder than you think. Many of us are so used to feeling stressed that we may not know it until we get sick. Read on to learn more about the various symptoms you may have when you're stressed.

Difference between stress and distress

Stress is a normal reaction to challenges in your physical environment or in your perceptions of what's happening around you. Experts consider distress to be stress that is severe, prolonged, or both. Distress is when you feel you’re under more stress than you can handle.

Emotional Stress Symptoms

Mental symptoms of emotional stress include:

• Feeling more emotional than usual, especially feeling grumpy, teary, or angry
• Feeling anxious, overwhelmed, nervous, or on edge
• Feeling sad or depressed
• Feeling restless
• Trouble keeping track of or remembering things
• Trouble getting your work done, solving problems, making decisions, or concentrating 

Physical Stress Symptoms

Symptoms of stress that you might feel in your body include:

• Clenching your jaw and grinding your teeth
• Shoulder, neck, or back pain; general body aches, pains, and tense muscles
• Chest pain, increased heart rate, heaviness in your chest
• Shortness of breath
• Feeling more tired than usual (fatigue)
• Sleeping more or less than usual
• Upset stomach , including diarrhea , constipation , and nausea
• Loss of sexual desire and/or ability
• Getting sick more easily, such as getting colds and infections often

Respiratory distress

This is when you aren't getting enough oxygen or are having to work really hard to breathe. If you or a loved one has symptoms of respiratory distress, you need to call 911 and get to the ER as soon as possible. Signs include:

• Breathing faster than usual
• Color changes of your skin, mouth, lips, or fingernails. A blue color around your mouth, lips, or fingernails usually shows you aren't getting enough oxygen. Your skin may also look pale or gray.
• Grunting when you breath out
• A whistling with each breath (wheezing)
• Nose flaring
• Chest sinking below your neck or under your breastbone with each breath (retractions)
• Increased sweating, especially cold, clammy skin on your forehead
• Leaning forward while sitting to help take deeper breaths

Cognitive Stress Symptoms

Symptoms of stress that affect your mental performance include:

• Trouble getting your work done, solving problems, making decisions, or concentrating
• Feeling less commitment to your work
• Lack of motivation
• Negative thinking

Behavioral Stress Symptoms

Symptoms of behavioral stress include:

• Changes in your eating habits; losing or gaining weight
• Procrastinating and avoiding responsibilities
• Using alcohol, tobacco, or drugs to feel better
• Avoiding your friends and family; isolating yourself from others
• Failing to meet your deadlines
• Increased absences at school or work
• Doing your work more slowly
• Exercising less often

Symptoms of Chronic Stress

Chronic stress is when you experience stress over an extended time. This can have negative effects on your body and your mental state, and it can increase your risk of cardiovascular disease, anxiety, and depression.

In general, the symptoms of chronic stress are the same as those for shorter-term stress. You may not have all these symptoms, but if you have more than three symptoms and they last for a few weeks, you may have chronic stress. Potential symptoms to look for include:

• Aches and pains
• Changes in your sleeping patterns, such as insomnia or sleepiness
• Changes in your social behavior, such as avoiding other people
• Changes in your emotional response to others
• Emotional withdrawal
• Low energy, fatigue
• Unfocused or cloudy thinking
• Changes in your appetite
• Increased alcohol or drug use
• Getting sick more often than usual

Is It Stress or Something Else?

You may be dealing with something more serious than day-to-day stress if you have symptoms over a period of time even though you've tried to cope using healthy mechanisms. Long-term stress is linked to number of mental health disorders, such as:

• Chronic stress
• Substance use disorder
• Disordered eating

It may be time to visit your doctor if you're struggling to cope with the stress in your life or you have mental health problems from long-term stress. They can help you figure out ways of coping in a healthy way or refer you to a mental health professional who can help you.

Posttraumatic Stress Disorder

Posttraumatic stress disorder (PTSD) is mental health condition that you may have after you have or witness a traumatic event, such as a natural disaster, accident, or violence. PTSD overwhelms your ability to cope with new stress. PTSD can lead to symptoms such as intrusive memories, avoidance behaviors, and hyperarousal. 

These symptoms can cause significant problems in your work or relationships. T alk to your doctor or a mental health professional if you've had or witnessed a traumatic event and have disturbing thoughts and feelings about it for more than a month, if your thoughts and feelings are severe, or if you feel like you're having trouble getting your life back on track.

What Are the Consequences of Long-Term Stress?

Ongoing, chronic stress can trigger or worsen many serious health problems, including:

• Mental health problems, such as depression, anxiety, and personality disorders
• Cardiovascular disease, including heart disease , high blood pressure, abnormal heart rhythms, heart attacks, and strokes
• Obesity and other eating disorders
• Menstrual problems
• Sexual dysfunction, such as impotence and premature ejaculation in men and loss of sexual desire in men and women
• Skin and hair problems , such as acne, psoriasis, and eczema, and permanent hair loss
• Gastrointestinal problems, such as GERD, gastritis , ulcerative colitis, and irritable bowel syndrome

Help Is Available for Stress

Stress is a part of life. What matters most is how you handle it. The best thing you can do to prevent stress overload and the health consequences that come with it is to know your stress symptoms.

If you or a loved one is feeling overwhelmed by stress, talk to your doctor. Many symptoms of stress can also be signs of other health problems. Your doctor can evaluate your symptoms and rule out other conditions. If stress is to blame, your doctor can recommend a therapist or counselor to help you better handle your stress.

Stress Takeaways

Stress is your body's response to a challenging or demanding situation. It can affect you physically, mentally, and behaviorally, especially when you have chronic stress. Chronic stress is when you are stressed for an extended time. Chronic stress can make it more likely for you to develop other mental health disorders, such as anxiety or depression. It can also affect your heart health and digestive health. If you're stressed and having trouble coping, it may be time for you to see your doctor or a mental health professional.

Stress FAQs

What can extreme stress cause?

Extreme stress, especially if it's prolonged, can cause emotional distress. And stress from a traumatic event, which is usually extreme, can cause posttraumatic stress disorder (PTSD). These are more serious cases of stress that overwhelm your ability to manage on your own. You may need to get a professional's help to get back on track. If you feel like you're having trouble managing your emotions, talk to your doctor. They can help you or direct you to someone who can help you.

Can stress make you throw up?

Yes, stress can make you throw up. Your digestive system is one of the many systems that stress can affect. In fact, you may have a whole range of other digestive symptoms, such as nausea, pain, and constipation or diarrhea. Not everyone has stress nausea or vomiting, but you may be more prone to it if you have a gastrointestinal condition, such as irritable bowel syndrome (IBS), or you have anxiety or depression.

You may be able to tell if you're stress vomiting if your episode passes when the stress goes away. If it doesn't, then your episode may be caused by something else. It's time to get checked out by your doctor if you have more than a couple of episodes or you can't figure out what's causing them.

Show Sources

Chu, B. Physiology, Stress Reaction , StatPearls Publishing, 2024.

American Psychological Association: "Stress effects on the body."

MedlinePlus: "Stress."

Mayo Clinic: "Stress management," "Emotional exhaustion: When your feelings feel overwhelming," "Post-traumatic stress disorder (PTSD)."

Cleveland Clinic: "Emotional Stress: Warning Signs, Management, When to Get Help," "Stress Nausea: Why It Happens and How To Deal. "

Johns Hopkins Medicine: "Signs of Respiratory Distress."

Helpguide.org: "Stress Symptoms, Signs, and Causes," "Understanding Stress."

Yale Medicine: "Chronic Stress."

Department of Health and Human Services: "Stress and Your Health."

American Institute of Stress: "Effects of Stress."

How to Feel Better in Less Than 15 Minutes

Need a quick pick-me-up? These simple steps can get you moving and boost your mood - fast!

Heart-Pounding, Stomach-Knotting: Stress and You

From knots in your stomach to headaches, heartburn and chronic health conditions, stress can lead to a variety of health issues.

Ways to Practice Self-Care

Self-care doesn't have to cost a lot. These simple steps can boost your mood and get you moving.

Natural Remedies to Alleviate Anxiety

These natural remedies can help ease your anxiety. Learn how they work - and when to see a doctor.

Is My Stress Level Too High?

From pain to digestive problems and more, the signs and symptoms of too much stress are easy to spot - once you know what to look for.

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• Personal Finance

6 Questions to Ask Before Buying Gold, Silver, or Other Metals

Published on Aug. 18, 2024

By: Dana George

• Gold, silver, and other metals have a reputation for being a safe haven during tough financial times, although that's not always the case.
• The odds of a precious metals salesperson being qualified to advise your investments are slim to none.
• Never work with someone offering investment advice unless they're registered with the CFTC, SEC, FINRA, or your state's regulatory agency.

A big part of becoming financially literate is knowing what's true and what's not. During times of financial stress, there are those who will tell you that gold, silver, and other metals are the "perfect" investment. That may or may not be true, based on a number of factors.

Before diving into the purchase of gold, silver, or metals, the Commodities Futures Trading Commission (CFTC) strongly recommends that you ask questions. It's all about being aware that fraudsters are out there and are more than happy to separate you from your hard-earned money.

The truth is this: precious metal prices fluctuate just like any other investment, regardless of what a salesperson tells you. And you may find yourself paying an overinflated price for gold, silver, and other metals. You may also be hit with ridiculous fees and commissions, designed to rob your nest egg and feather someone else's nest.

Before doing anything else, make sure you understand the answers to the following questions.

1. Is it safe to respond to a letter, email, or phone call from someone selling precious metals?

No. The CFTC says you should never respond to a cold call, unsolicited email, junk mail, or even late-night commercial, no matter how attractive it appears. They're all common tactics used by scammers looking for their next victims.

2. How can I find a reputable metals dealer?

It pays to know more about the people advising you on personal finance matters. For example, you should be aware that retail metal dealers are not federally regulated. If you find a well-established dealer in your area, contact your state's attorney general office or securities regulator to learn if the dealer has a history of complaints.

3. Is the person trying to sell me precious metals a registered commodity trading advisor or investment professional?

No, almost never. That person trying to convince you to rollover your retirement savings into precious metals isn't qualified to offer trading, investment, or tax advice. Most have been trained to talk you out of your savings. No matter how "nice" they appear, never take investment advice from a metals salesperson.

4. Is the salesperson's boss qualified?

Often, if it doesn't look like the salesperson is getting far enough with you, they'll hand you off to someone they call their "lead" or "boss." Ask that person directly if they're registered with the CFTC, SEC, FINRA, or your state regulator. No matter how they answer, do not make a decision until you've verified their registration and studied their history of complaints.

5. What's this I hear about gold self-directed IRAs?

Dealers like to use the term "gold IRA" for self-directed IRAs when they're trying to talk you into using your retirement savings to buy gold or silver bullion. While it's true that money can be rolled over from a 401(k) or other retirement account to a self-directed IRA without penalty, once you do it, you're on your own. You no longer have fiduciaries or advisors who are there to protect you against bad investments.

Besides, if you allow a rollover, you're likely to be hit with high fees, commissions, and administrative costs that take a huge bite out of your retirement. The CFTC reports that some gold or silver IRA fraud victims have lost as much as one-third to one-half of their savings by these markups, fees, and commissions.

6. Is there a safer way to own precious metals?

If you want precious metals as part of your existing IRA, there are commodity exchange-traded products (ETPs) or pools that offer exposure to metal prices. These products come with their own fees and costs, but they're fully regulated. As with any investment professional, make sure the ETP investment professional or commodity pool advisor is registered before moving forward.

Unfortunately, scammers are going to scam. If you suspect that someone is trying to defraud you, or you know of a fraudulent deal, submit a whistleblower tip at CFTC.gov/complaint . If you're a senior and have questions or concerns about your investment accounts, you can also call the FINRA Securities Helpline for Seniors at 844-57-HELPS (844-574-3577).

You've worked far too hard for your money to allow someone else access to it, no matter how attractive their sales presentation may be.

Our Research Expert

Dana is a full-time personal finance writer, with more than two decades of experience. Her focus is on helping readers feel less alone as they navigate their personal finances and offering actionable insights.

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More From Forbes

How to start a side hustle to make money online in 2024.

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More than half of American workers currently own a side hustle

More than 50% of Americans have adopted a side hustle as a means of supplementing their income, findings from a new MarketWatch survey reveals.

And it makes perfect sense.

Professionals today have essential needs that working for their employer simply doesn't meet on its own anymore, such as making personal wellbeing and family time a priority, being able to save up more money for retirement, and having a comfortable cushion of savings with which to pull from to support their children's educational needs, splurge on luxury items, or make major purchases.

Even with inflation cooling in the second quarter of 2024, many are still finding that they are struggling to make ends meet, and that these days, even a $100,000 job can sometimes be barely enough to survive—especially with a family.

If you, like more than half of working Americans, would like to start your own side hustle in 2024, but are worried about the process, here's what you should know which will clarify the process for you:

Best High-Yield Savings Accounts Of 2024

Best 5% interest savings accounts of 2024, 1. know why you want to start a side hustle.

Launching a side hustle, or any worthy endeavor for that matter, starts with understanding your "why." Your "why" is what propels you towards your career and financial goals.

It enables you to be disciplined and stay focused in your journey, regardless of the ups and downs along the way, and keeps your motivation going while giving you a clear vision and goal to work towards.

So sit down for a moment with your notebook or note-taking app, and ask yourself, What do I want to achieve with my side hustle? Why do I want to have one? Am I just jumping into a trend because everyone else is doing it, or am I starting a side hustle because of my family, saving for the future, investing, etc.?

2. Discover Your Skill—Or Learn A New One

To successfully launch a side hustle in 2024, you need to understand that one of the core components of a side business is mastery of a skill—or multiple skills. Ideally, your focus should be on refining and honing in on high-income skills—the kind that have high-earning potential and are in significant demand by employers across multiple industries right now.

The more you work on perfecting an existing skill or developing a new one, the sharper you become, and the more you are able to charge a premium for your skill set.

3. Find Your Passion

In addition to harnessing your skill, it's essential to ensure that it is something you are passionate about. It might even be a hobby of yours. Whatever it is, ensure you actually enjoy it—your enthusiasm will show itself in your work.

4. Conduct Research

Now it's time to enter into the research phase. This is one of the most critical steps you can take as it sets the foundation for success in the future. Your research will enable you to make the most profit, bring in customers, discover what their needs are, and tailor your services and products accordingly.

It will also help you save money and avoid costly mistakes in the long run.

5. Just Get Started

Now it's time for the most important part: launching and putting what was idealized on paper, into action. What this looks like will be slightly different for each individual, but here are a few things you can expect to tick off your to-do list:

• Legal contracts and advice
• Purchasing insurance
• Setting up a website
• Building a social media presence
• Joining freelance platforms
• Creating a routine and schedule for yourself and prioritizing commitments
• Attending networking events

6. Learn And Repeat

Last but not least, when running your side hustle, constantly analyze your progress and the results. Listen to your customers, learn from your mistakes, and note down your areas for improvement, while doubling down on where you are performing exceptionally well—the areas within your business in which you are seeing significant progress.

The research you conduct lays the foundation for success in your side hustle

Through following these six steps, you can start and continue to grow your side hustle, and make money online so you can achieve your goals this year.

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The Fight To Redefine the 2024 Race for President

A new Cook Political Report Swing State Project Survey conducted by BSG and GS Strategy Group shows Vice President Kamala Harris leading or tied with former President Donald Trump in all but one of the seven battleground states. Overall, she holds a narrow lead of 48% to 47% in those states in the head-to-head.

Harris has closed the gap with Trump since the last Swing State Project survey in May, when Trump led President Joe Biden by three points overall, and was ahead or tied in every one of the seven swing states.

The one state where Trump still holds a slim lead is Nevada, though Harris has narrowed Trump’s margin by six points since May.

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Harris’ success in closing the gap is driven by her consolidation of the Democratic base, and increased support among independent voters.

In May, in the five-way horserace including third party candidates, just 82% of the voters who supported Biden in 2020 were committed to voting for him this fall. Harris is getting 91% of those voters. Among independent voters, Harris

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More from the cook political report.

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Democrats Maintain Edge in New Senate Polls, As Nevada Moves Back to Lean Democrat

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