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Transformation to achieve a longitudinally stationary factor pattern matrix
Authors:Stephen L. Bieber  William Meredith
Affiliation:(1) Departments of Statistics and Psychology, University of Wyoming, Laramie;(2) University of California, Berkeley
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.
Keywords:factor analysis
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