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A Second-Order Conditionally Linear Mixed Effects Model with Observed and Latent Variable Covariates
Peer reviewed
Direct linkHarring, Jeffrey R.; Kohli, Nidhi; Silverman, Rebecca D.; Speece, Deborah L. – Structural Equation Modeling: A Multidisciplinary Journal, 2012
A conditionally linear mixed effects model is an appropriate framework for investigating nonlinear change in a continuous latent variable that is repeatedly measured over time. The efficacy of the model is that it allows parameters that enter the specified nonlinear time-response function to be stochastic, whereas those parameters that enter in a…
Descriptors: Models, Statistical Analysis, Structural Equation Models, Factor Analysis
