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    This study proposes a third step for analyzing multitrait-multimethod matrices, transforming principal components into a classical multiple group factor analysis. Reanalysis confirms this method yields similar results to existing procedures.

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    Area of Science:

    • Psychometrics
    • Multivariate Statistics

    Background:

    • Multitrait-multimethod (MTMM) matrices are crucial for assessing construct validity.
    • Jackson's (1975) two-step procedure is a common method for MTMM analysis.
    • Existing methods may benefit from alternative analytical transformations.

    Purpose of the Study:

    • To introduce and evaluate a novel third step for Jackson's (1975) MTMM analysis procedure.
    • To enhance the interpretability and application of MTMM matrix analysis.
    • To compare the outcomes of the proposed method with classical approaches.

    Main Methods:

    • The proposed method involves transforming principal components from Jackson's (1975) procedure into a classical multiple group factor analysis.
    • Principal components are rotated to maximize correlations with original trait measures.
    • A principal components analysis is applied to the intercorrelation matrix.

    Main Results:

    • A reanalysis of two numerical illustrations was conducted.
    • The proposed three-step procedure yielded results comparable to classical methods.
    • The transformation to multiple group factor analysis provides a viable alternative.

    Conclusions:

    • The suggested third step offers a valuable extension to Jackson's (1975) MTMM analysis.
    • This approach maintains analytical similarity while potentially offering different interpretive advantages.
    • The classical multiple group factor analysis transformation is a robust addition to MTMM data analysis.