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Sivo, Stephen A.; Willson, Victor L. – Structural Equation Modeling, 2000
Studied whether moving average or autoregressive moving average models fit two longitudinal data sets previously thought to possess quasi-simplex structures better than the quasi-simplex, one-factor, or autoregressive models. Results of a Monte Carlo study show the importance of evaluating the fit, propriety, and parsimony of models before one…
Descriptors: Causal Models, Error of Measurement, Goodness of Fit, Longitudinal Studies