This book provides an introduction to latent variable growth curve modeling (LGM) for analyzing repeated measures. Designed to take advantage of the readerâ s familiarity with ANOVA and SEM in introducing LGM techniques, the book presents the statistical basis for LGM and its various methodological extensions and practical examples of its use.
This book provides an introduction to latent variable growth curve modeling (LGM) for analyzing repeated measures. Designed to take advantage of the readerâ s familiarity with ANOVA and SEM in introducing LGM techniques, the book presents the statistical basis for LGM and its various methodological extensions and practical examples of its use.
Terry E. Duncan, Susan C. Duncan and Lisa A. Strycker
Inhaltsangabe
Contents: Preface. Introduction. Specification of the LGM. LGM, Repeated Measures ANOVA, and the Mixed Linear Model. Multivariate Representations of Growth and Development. Analyzing Growth in Multiple Populations. Accelerated Designs. Multilevel Longitudinal Approaches. Growth Mixture Modeling. Piecewise and Pooled Interruped Time Series LGMs. Latent Growth Curve Modeling With Categorical Variables. Missing Data Models. Latent Variable Framework for LGM Power Estimation. Testing Interaction Effects in LGMs. Summary.
Contents: Preface. Introduction. Specification of the LGM. LGM, Repeated Measures ANOVA, and the Mixed Linear Model. Multivariate Representations of Growth and Development. Analyzing Growth in Multiple Populations. Accelerated Designs. Multilevel Longitudinal Approaches. Growth Mixture Modeling. Piecewise and Pooled Interruped Time Series LGMs. Latent Growth Curve Modeling With Categorical Variables. Missing Data Models. Latent Variable Framework for LGM Power Estimation. Testing Interaction Effects in LGMs. Summary.
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