2. 1. What is Validity?
• Validity: Does the questionnaire measure
what it's supposed to measure?
• • Ensures accurate, meaningful, and useful
data
• • Essential for reliable conclusions in public
health research
3. 2. Types of Validity
• Face Validity
• • Content Validity
• • Construct Validity
• • Criterion Validity
4. 3. Face Validity
• Superficial judgment by experts or
stakeholders
• • Ask: 'Does it look like it measures the
intended concept?'
• • Used during initial questionnaire design
5. 4. Content Validity
• Ensures all aspects of the concept are covered
• • Assessed by expert panel using relevance
ratings
• • Key tools: I-CVI (Item-level), S-CVI (Scale-
level)
• • Acceptable I-CVI ≥ 0.78; S-CVI ≥ 0.90
6. 5. Construct Validity
• Assesses if questionnaire truly measures
theoretical construct
• • Common in attitude, belief, and behavior
scales
• • Methods: Factor Analysis, Hypothesis Testing
7. 6. Criterion Validity
• Compares questionnaire to external standard
or outcome
• • Types: Concurrent Validity, Predictive
Validity
• • Used when gold standard or outcome is
available
9. 8. Example: Junk Food
Questionnaire
• 10 Likert scale items on junk food behavior
• • Face Validity: Reviewed by faculty
• • Content Validity: S-CVI = 0.92 from 4 experts
• • Construct Validity: Cronbach’s alpha = 0.82
• • Criterion Validity: Compared with 24-hr
recall
10. 9. Tips for Students
• Define your construct clearly
• • Use simple, understandable language
• • Pre-test your tool before formal validation
• • Document validation steps in your thesis
• • Use both qualitative and quantitative
methods