Designing a survey isn’t just about asking questions—it’s also about making sure your survey actually measures what it’s supposed to (validity) and does so consistently (reliability). If your survey is unreliable or invalid, your results cannot be trusted.

Here’s how to strengthen the reliability and validity of your research.

Increase Reliability (Consistency)

Reliability means your survey delivers consistent results. If you give the same survey to the same group twice, the answers should be the same.

Ways to increase reliability:

1. Use Clear and Simple Words
   • Avoid jargon, technical terms, or double negatives.
   • Example: Instead of “I am not dissatisfied with my workload”ask “I am satisfied with my workload.”
2. Standardization of Survey Format
   • Maintain a consistent Likert scale (e.g., always 1 = Strongly Disagree → 5 = Strongly Agree).
   • Use the same instructions throughout the questions.
3. Increase the Number of Items per Construction
   • More items measuring the same concept (e.g. job satisfaction) improves internal consistency.
4. Trial the Survey
   • Run a small test with a sample group.
   • Identify confusing questions or inconsistent responses.
5. Check Reliability Statistics
   • Count Cronbach’s Alpha (≥ 0.70 is generally acceptable).
   • Revise or delete items that reduce reliability.

Increase Validity (Accuracy)

Validity means your survey actually measures intended concept—not something else.

Ways to increase validity:

1. Ensure Content Validity
   • Covers all aspects of the concept.
   • Example: If measuring job satisfaction, include questions about salary, work environment, growth, and recognition.
2. Use Existing Scales If Possible
   • Adapt questions from previous validated surveys.
   • This increases content and construct validity.
3. Avoid Leading or Biased Questions
   • Example: Instead of “Do you agree that online classes are effective?”ask “How effective do you think online classes are?”
4. Use Factor Analysis (for Construct Validity)
   • Run Exploratory Factor Analysis (EFA) to check whether items are grouped into the correct construct.
   • Follow with Confirmatory Factor Analysis (CFA) to validate the structure.
5. Test Different Types of Validity
   • Convergent Validity: Are items measuring the same concept strongly correlated?
   • Discriminant Validity: Are the constructs different from each other?
   • Criterion Validity: Are the survey results in line with external benchmarks (e.g. job satisfaction surveys that predict employee turnover)?

Bonus: General Best Practices

• Pretest with Experts: Ask a colleague or supervisor to review the questions for clarity and relevance.
• Randomize Question Order: Prevent response patterns or bias.
• Training Data Collectors (if interviews are used): Ensure consistent administration.
• Keep It Short and Focused: Long and tedious surveys reduce data quality.

Final Thoughts

• Reliability = consistency. Improve by writing clear questions, standardizing formats, and testing for internal consistency.
• Validity = accuracy. Improve by covering all aspects of your construct, avoiding bias, and testing with factor analysis.

If both are strong, your survey becomes a powerful tool for producing credible, publishable research.