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This volume presents Latent Variable Growth Curve Modeling for analyzing repeated measures. It is likely that most readers have already mastered many of LGM's underpinnings, in as much as repeated measures analysis of variance (ANOVA) models are special cases of LGMs that focus only on the factor means. In contrast, a fully expanded latent growth curve analysis takes into account both factor means and variances. LGMs are also variants of the standard linear structural model. In addition to using regression coefficients and variances and covariances of the independent variables, they incorporate a mean structure into the model. The book features two major themes—concepts and issues, and applications—and is designed to take advantage of the reader's familiarity with ANOVA and standard procedures in introducing LGM techniques and presenting practical examples.
Contents: Preface. Introduction. Specification of the LGM. LGM and Repeated Measures ANOVA. Analyzing Growth in Multiple Populations. Multivariate Representation of Growth and Development. Accelerated Designs. Testing Interaction Effects in LGMs. Missing Data Models. Multilevel Longitudinal Approaches. Latent Variable Framework for LGM Power Estimation. Summary. Appendices.