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Random effects as latent variables: SEM for repeated measures data

Random effects as latent variables: SEM for repeated measures data. Dr Patrick Sturgis University of Surrey. Overview. Random effects (multi-level) models for repeated measures data. Random effects as latent variables. Specifying time in LGC models. Growth parameters. Linear Growth.

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Assume correlations - PowerPoint PPT Presentation

Random effects as latent variables: SEM for repeated measures data