Lessons on measuring construct validity: a commentary on Delis, Jacobson, Bondi, Hamilton, And Salmon

Area of Science:

• Psychometrics and Statistical Modeling
• Psychological Measurement and Validation

Background:

• Critiques the application of shared variance techniques in establishing construct validity.
• Addresses the potential for method variance to confound factor analysis results.

Discussion:

• Proposes solutions for the appropriate utilization of factor analysis in construct validation.
• Explores the impact of method variance on the accuracy of factor analysis outcomes.

Key Insights:

• Method variance can significantly distort factor analysis, impacting construct validity assessments.
• Alternative construct validation procedures exist that bypass correlational or shared variance methods.

Outlook:

• Recommends careful consideration of method variance in psychometric analyses.
• Encourages the adoption of diverse validation strategies beyond shared variance techniques.