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    The Campbell and Fiske criteria for assessing convergent and discriminant validity are often inadequate for multitrait-multimethod matrix data structures. Model-specific criteria offer a more promising approach for evaluating validity in psychological research.

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    Area of Science:

    • Psychometrics
    • Psychological Measurement

    Background:

    • Multitrait-multimethod matrices (MTMM) are used to assess construct validity.
    • Two primary data structures, additive and multiplicative, are proposed for MTMM data.
    • Established validity criteria may not be universally applicable across these structures.

    Purpose of the Study:

    • To evaluate the adequacy of Campbell and Fiske's (1959) criteria for assessing convergent and discriminant validity.
    • To explore alternative criteria suitable for different MTMM data structures.
    • To advance methodological standards in construct validity assessment.

    Main Methods:

    • Analysis of multitrait-multimethod matrix data structures.
    • Critique of existing validity assessment criteria (Campbell & Fiske, 1959).
    • Development and proposal of model-specific validity criteria.

    Main Results:

    • Campbell and Fiske's criteria demonstrate general inadequacy for both additive and multiplicative MTMM data structures.
    • Model-specific criteria show greater promise for accurately assessing convergent and discriminant validity.
    • Existing methods may lead to inaccurate validity judgments.

    Conclusions:

    • The traditional Campbell and Fiske criteria require re-evaluation in the context of different MTMM data structures.
    • Model-specific validity criteria are recommended for more robust and accurate construct validity assessment.
    • Future research should focus on refining and validating these model-specific approaches.