Correct option is C
The best way to establish construct validity of a questionnaire is through Factor Analysis (Option 3).
- Construct validity refers to the extent to which a test measures the theoretical construct it is intended to measure.
Information Booster:
· Role in Construct Validity Assessment:
- Factor analysis plays a key role in assessing construct validity, ensuring that the questionnaire measures the intended theoretical construct.
- It is often combined with comparisons to existing validated measures for a comprehensive validity assessment.
· Central to Validity:
- It is considered the most comprehensive type of validity, encompassing other forms such as content validity (coverage of test items) and criterion validity (correlation with external outcomes).
- Relies on Theory:
- Construct validity depends on a clear conceptual definition of the construct being measured. A poorly defined construct can weaken the validity of a test.
· Convergent and Discriminant Validity:
- Convergent validity: The test should correlate with other tests measuring the same or similar constructs.
- Discriminant validity: The test should not correlate highly with tests measuring different constructs.
Additional Information:
· Cronbach Alpha (Option 1):
- Purpose: Measures internal consistency to ensure questionnaire items produce consistent responses.
- Limitation: It assesses reliability, not construct validity, and cannot determine if the test measures the intended theoretical construct.
· Inter-Item Correlation (Option 2):
- Purpose: Evaluates the relationships between specific questionnaire items.
- Limitation: Focuses on reliability but does not address the alignment of items with broader constructs.
· Factor Analysis (Option 3):
- Correct Answer: Factor analysis is a statistical method used to assess construct validity by identifying latent dimensions and determining whether the items align with the intended theoretical framework.
- Significance: It is the preferred method for ensuring the structural validity of questionnaires.
· Kuder-Richardson Formula (Option 4):
- Purpose: Designed for measuring the reliability of tests with binary-scale items (e.g., True/False).
- Limitation: Not relevant for assessing construct validity.