Longitudinal Structural Equation Modeling with MplusA Latent State-Trait Perspective\nAuthor(s): Christian Geiser\nFormat: Paperback\nPublisher: Guilford Publications, United States\nImprint: Guilford Press\nISBN-13: 9781462538782, 978-1462538782\nSynopsis\nAn in-depth guide to executing longitudinal confirmatory factor analysis (CFA) and structural equation modeling (SEM) in Mplus, this book uses latent statetrait (LST) theory as a unifying conceptual framework, including the relevant coefficients of consistency, occasion specificity, and reliability. Following a standard format, chapters review the theoretical underpinnings, strengths, and limitations of the various models; present data examples; and demonstrate each model's application and interpretation in Mplus, with numerous screen shots and output excerpts. Coverage encompasses both traditional models (autoregressive, change score, and growth curve models) and LST models for analyzing single- and multiple-indicator data. The b.