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Structural Equation Modeling with Mplus by Barbara M. Byrne

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chapter 11

Testing Change Over Time

The Latent Growth Curve Model

Latent growth curve (LGC) modeling within the framework of structural equation modeling (SEM) is now considered one of the most powerful and informative approaches to the analysis of longitudinal data (see, e.g., Curran & Hussong, 2003). Whereas this methodological approach enables researchers to test for differences in developmental trajectories across time, conventional repeated measures analyses (e.g., analysis of variance [ANOVA], analysis of covariance [ANCOVA], and multivariate analysis of covariance [MANOVA]) fail to provide this opportunity. More specifically, although these traditional statistical strategies are capable of describing an individual's developmental trajectory, ...

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