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Longitudinal Structural Equation Modeling With Mplus : A Latent State-Trait P...

Description: Longitudinal Structural Equation Modeling With Mplus : A Latent State-Trait Perspective, Hardcover by Geiser, Christian, ISBN 146254424X, ISBN-13 9781462544240, Like New Used, Free P&P in the UK "An in-depth guide to executing longitudinal confirmatory factor analysis (CFA) and structural equation modeling (SEM) in Mplus, this book uses latent state-trait (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. Th discusses measurement equivalence testing, intensive longitudinal data modeling, and missing data handling, and provides strategies for model selection and reporting of results. User-friendly features include special-topic boxes, chapter summaries, and suggestions for further reading. The companion website features data sets, annotated syntax files, and output for all of the examples"--

Price: 76.98 GBP

Location: Castle Donington

End Time: 2024-09-03T08:07:27.000Z

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Longitudinal Structural Equation Modeling With Mplus : A Latent State-Trait P...

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Book Title: Longitudinal Structural Equation Modeling With Mplus : A Latent S

Subject Area: Experimental Psychology

Item Height: 234 mm

Item Width: 156 mm

Series: Methodology in the Social Sciences

Author: Christian Geiser

Publication Name: Longitudinal Structural Equation Modeling with Mplus: a Latent State-Trait Perspective

Format: Hardcover

Language: English

Publisher: Guilford Publications

Publication Year: 2020

Type: Textbook

Item Weight: 720 g

Number of Pages: 344 Pages

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