Transformation to achieve a longitudinally stationary factor pattern matrix |
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Authors: | Stephen L. Bieber William Meredith |
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Affiliation: | (1) Departments of Statistics and Psychology, University of Wyoming, Laramie;(2) University of California, Berkeley |
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Abstract: | Meredith's method of extracting a factorially invariant solution is adapted to longitudinal settings. An explorational estimation procedure is presented which attempts to identify the longitudinal factor components of an across occasion variance-covariance matrix. This is effected by transforming an initial factor pattern matrix to stationarity. The estimation is performed in two parts, the first employing a stepwise algorithm to ascertain the dimensionality and existence of the longitudinal components and the second being the direct estimation of the existing factor pattern. |
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Keywords: | factor analysis |
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