How to Design a Research Questionnaire That Gets Approved and Gets Results
Your questionnaire is the backbone of your data collection. Learn how to design questions that measure what you need, avoid common mistakes, and create an instrument your supervisor will approve.
The Questionnaire That Changed Everything
A student from Lagos State University came to us with a problem. She had distributed 300 questionnaires, collected them all back, and was ready to analyze her data. There was just one issue: her questions were so poorly designed that the responses were meaningless.
For example, she had a question that asked: "Do you agree that social media marketing is effective and should be adopted by all businesses?" This is what we call a double-barreled question. A respondent might agree that it is effective but not agree that all businesses should adopt it. How do they answer?
She had to start over. Three hundred questionnaires wasted. Weeks of work lost.
This guide will help you avoid her mistake.
Understanding What a Questionnaire Does
Your questionnaire is a measurement instrument. Just like a thermometer measures temperature, your questionnaire measures attitudes, behaviors, perceptions, or opinions. And just like a faulty thermometer gives wrong readings, a poorly designed questionnaire gives unreliable data.
The goal is to design questions that:
- Measure exactly what your research objectives require
- Are understood the same way by all respondents
- Produce consistent responses (reliability)
- Actually measure what they claim to measure (validity)
Types of Questions You Will Use
Closed-Ended Questions
These provide predefined response options. They are easier to analyze and are most common in quantitative research.
Dichotomous Questions: Only two options
Gender: [ ] Male [ ] Female
Have you ever purchased a product based on social media advertisement? [ ] Yes [ ] No
Multiple Choice Questions: Several options, select one
What is your highest educational qualification?
[ ] SSCE/WAEC [ ] OND/NCE [ ] HND/BSc [ ] Masters [ ] PhD
Likert Scale Questions: Measure agreement or frequency on a scale
Social media advertisements influence my purchasing decisions.
[ ] Strongly Disagree [ ] Disagree [ ] Neutral [ ] Agree [ ] Strongly Agree
Rating Scale Questions: Rate something on a numerical scale
On a scale of 1-10, how satisfied are you with our service? ___
Open-Ended Questions
These allow respondents to answer in their own words. They provide richer data but are harder to analyze.
What factors influence your decision to purchase products online?
__________________________________________
Most undergraduate questionnaires use primarily closed-ended questions with perhaps one or two open-ended questions at the end.
The Anatomy of a Good Questionnaire
Section A: Introduction and Demographics
Start with a brief introduction explaining the purpose of the study and assuring confidentiality.
"Dear Respondent,
This questionnaire is designed to collect data for a research project on the impact of social media marketing on consumer purchasing behavior. Your responses will be treated with strict confidentiality and used solely for academic purposes. The questionnaire takes approximately 5-10 minutes to complete. Thank you for your participation."
Then collect relevant demographic information:
- Gender
- Age range
- Educational qualification
- Occupation (if relevant)
- Other demographics relevant to your study
Important: Only collect demographics that you will actually use in your analysis. Asking for unnecessary information wastes the respondent's time and can reduce response rates.
Section B and Beyond: Research Variables
Each subsequent section should focus on one variable from your study. Structure your items to align with your research objectives.
Example for a study on social media marketing and purchase behavior:
Section B: Social Media Usage (Independent Variable)
Section C: Exposure to Social Media Marketing (Independent Variable)
Section D: Trust in Social Media Content (Mediating Variable)
Section E: Purchase Intention/Behavior (Dependent Variable)
Writing Good Questions: The Do's and Don'ts
DO: Be Clear and Specific
Poor: Do you use social media often?
Better: How many hours per day do you spend on social media platforms?
[ ] Less than 1 hour [ ] 1-2 hours [ ] 3-4 hours [ ] 5+ hours
DON'T: Use Double-Barreled Questions
Poor: Social media marketing is effective and cost-efficient.
Better: Split into two questions:
- Social media marketing is effective for reaching customers.
- Social media marketing is cost-efficient compared to traditional marketing.
DO: Avoid Leading Questions
Poor: Do you agree that our excellent customer service makes us the best?
Better: How would you rate our customer service?
[ ] Very Poor [ ] Poor [ ] Average [ ] Good [ ] Excellent
DON'T: Use Jargon or Complex Words
Poor: The organization demonstrates corporate social responsibility through philanthropic endeavors.
Better: The organization gives back to the community through donations and social programs.
DO: Ensure Mutually Exclusive Options
Poor: Age: [ ] 18-25 [ ] 25-35 [ ] 35-45 (Where does a 25-year-old go?)
Better: Age: [ ] 18-24 [ ] 25-34 [ ] 35-44 [ ] 45 and above
DON'T: Ask About Two Time Periods at Once
Poor: Did you use our service before and after the pandemic?
Better: Ask separately about before and after.
The Likert Scale: Getting It Right
Since most of your questionnaire will likely use Likert scales, let us dive deeper:
4-Point vs 5-Point Scale
5-Point Scale: Includes a neutral midpoint
Strongly Disagree (1) - Disagree (2) - Neutral (3) - Agree (4) - Strongly Agree (5)
4-Point Scale: Forces respondents to take a position
Strongly Disagree (1) - Disagree (2) - Agree (3) - Strongly Agree (4)
The 4-point scale is useful when you want to avoid respondents defaulting to neutral. However, some researchers argue this forces artificial choices. Discuss with your supervisor which is preferred in your department.
Writing Good Likert Statements
Likert items should be statements, not questions. Respondents indicate their level of agreement.
Good Likert items:
- I trust product recommendations from social media influencers.
- Social media advertisements provide useful information about products.
- I have purchased products that I first discovered on social media.
Include some negatively worded items to ensure respondents are reading carefully:
- I rarely pay attention to advertisements on social media.
- Social media marketing does not influence my purchasing decisions.
Remember to reverse-code these items during analysis.
Ensuring Validity and Reliability
Content Validity
Your questionnaire should cover all aspects of the variables you are measuring. Develop your questions based on:
- Your research objectives
- Definitions from your literature review
- Previously validated scales from other studies
Have your supervisor and perhaps one or two other experts review the questionnaire before distribution.
Reliability
Conduct a pilot study with 20-30 respondents before main data collection. Use the pilot data to calculate Cronbach's Alpha. Each scale (group of items measuring one variable) should have an alpha of 0.7 or above.
If alpha is too low, review the items. You may need to remove or rephrase problematic questions.
Sample Questionnaire Structure
Here is a template you can adapt:
SECTION A: DEMOGRAPHIC INFORMATION
1. Gender: [ ] Male [ ] Female
2. Age: [ ] 18-24 [ ] 25-34 [ ] 35-44 [ ] 45 and above
3. Educational Qualification: [ ] SSCE [ ] OND/NCE [ ] HND/BSc [ ] Postgraduate
4. How often do you use social media? [ ] Daily [ ] Weekly [ ] Monthly [ ] Rarely
SECTION B: SOCIAL MEDIA MARKETING EXPOSURE
Please indicate your level of agreement with the following statements:
(SA=Strongly Agree, A=Agree, N=Neutral, D=Disagree, SD=Strongly Disagree)5. I frequently see advertisements on social media platforms. [SA] [A] [N] [D] [SD]
6. I follow brands and businesses on social media. [SA] [A] [N] [D] [SD]
7. I receive promotional content from businesses via social media. [SA] [A] [N] [D] [SD]
Need Help Designing Your Questionnaire?
A well-designed questionnaire sets the foundation for successful research. If you need help creating a valid, reliable questionnaire that aligns with your research objectives, AlimsWrite is here to help.
We can design your questionnaire from scratch or review and improve what you have already drafted.
Contact us today and let us help you get your data collection right.
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