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Using confirmatory factor analysis to manage discriminant validity issues in social pharmacy research
1Faculty of Pharmacy, University of Sydney, Sydney, Australia. stephen.carter@sydney.edu.au.
Confirmatory factory analysis (CFA) provides evidence for the internal structure of measurement scales. This guide helps researchers use CFA to demonstrate discriminant validity, ensuring sub-scales are distinct and valid in social pharmacy research.
Area of Science:
- Social Pharmacy
- Psychometrics
Background:
- Confirmatory factory analysis (CFA) and structural equation modelling (SEM) are vital tools in social pharmacy.
- CFA validates the internal factor structure of measurement scales, confirming sub-scale discrimination.
Purpose of the Study:
- To guide researchers in using CFA for establishing the internal factor structure of measurement scales.
- To contextualize discriminant validity within broader scale validation.
Main Methods:
- Critically examined four social pharmacy studies on discriminant validity.
- Demonstrated CFA output usage with a hypothetical scenario to show sub-scale separateness.
Main Results:
- CFA effectively provides evidence for the distinctness of sub-scales within multidimensional measures.
- Commonly used CFA outputs can illustrate discriminant validity.
Conclusions:
- Recommends best practices for conducting and reporting CFA studies in social pharmacy.
- Emphasizes CFA's role in validating measurement scale structures.
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