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Longitudinal Structural Equation Modeling with Mplus A Latent State Trait Perspective 1st Edition by Christian Geiser ISBN 146254424X 9781462544240

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Longitudinal Structural Equation Modeling with Mplus A Latent State Trait Perspective 1st Edition Geiser Digital Instant Download

Author(s): Geiser, Christian
ISBN(s): 9781462544240, 146254424X
Edition: 1
File Details: PDF, 7.03 MB
Year: 2021
Language: english
SKU: EB-23900634 Category: Tags: ,

Longitudinal Structural Equation Modeling with Mplus A Latent State Trait Perspective 1st Edition by Christian Geiser – Ebook PDF Instant Download/Delivery: 146254424X, 9781462544240
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ISBN 10: 146254424X 
ISBN 13: 9781462544240
Author: Christian Geiser

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. The book 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.

Longitudinal Structural Equation Modeling with Mplus A Latent State Trait Perspective 1st Table of contents:

1. A Measurement Theoretical Framework for Longitudinal Data: Introduction to Latent State–Trait T
2. Single-Factor Longitudinal Models for Single-Indicator Data
3. Multifactor Longitudinal Models for Single-Indicator Data
4. Latent State Models and Measurement Equivalence Testing in Longitudinal Studies
5. Multiple-Indicator Longitudinal Models
6. Modeling Intensive Longitudinal Data
7. Missing Data Handling
8. How to Choose between Models and Report the Results

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Tags: Christian Geiser, Longitudinal Structural, Mplus, State Trait