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Song, Hairong; Ferrer, Emilio – Structural Equation Modeling: A Multidisciplinary Journal, 2009
This article presents a state-space modeling (SSM) technique for fitting process factor analysis models directly to raw data. The Kalman smoother via the expectation-maximization algorithm to obtain maximum likelihood parameter estimates is used. To examine the finite sample properties of the estimates in SSM when common factors are involved, a…
Descriptors: Factor Analysis, Computation, Mathematics, Maximum Likelihood Statistics

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