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​One behavioral scientist is developing a questionnaire to assess the attitude towards workplace support. Which of the following will be the best way
Question

One behavioral scientist is developing a questionnaire to assess the attitude towards workplace support. Which of the following will be the best way to establish construct validity of the questionnaire?

A.

Cronbach Alpha

B.

Inter-item Correlation

C.

Factor Analysis

D.

Kuder-Richardson Formula

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.

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