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Distinguishing Trait And Method Variance In Multitrait-Multimethod Matrices: A Reply To Golding
Multivariate Behavioral Research
|January 26, 2016
Summary
This study critiques methods for evaluating convergent and discriminant validity, finding them inadequate for assessing multitrait-multimethod matrices. It suggests alternative approaches for trait and method variance analysis are needed.
Area of Science:
- Psychometrics
- Statistical Analysis
Background:
- The Campbell and Fiske (1959) framework established criteria for convergent and discriminant validity.
- Evaluating multitrait-multimethod matrices is crucial for construct validation in psychological research.
Purpose of the Study:
- To evaluate the adequacy of proposed techniques for analyzing multitrait-multimethod matrices.
- To identify limitations in existing methods for assessing convergent and discriminant validity.
Main Methods:
- Critical analysis of Golding and Seidman's (1974) proposal for multitrait-multimethod matrix evaluation.
- Examination of Golding's (1976) conjecture regarding trait and method variance in factor analysis.
Main Results:
- Golding and Seidman's method was found inadequate due to inconsistencies with Campbell-Fiske requirements, confounding variances, and lack of clear variance isolation techniques.
- Golding's conjecture was based on redefinition of terms and lacked empirical verification.
- The proposed methods yielded problematic results when applied to matrices meeting validity criteria.
Conclusions:
- Existing methods for evaluating multitrait-multimethod matrices require revision.
- Empirical evaluation of trait and method variance can proceed through inductive generalization and theory, not solely relying on nomological networks.
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