Longitudinal Structural Equation Modeling with Mplus: A Latent State-Trait Perspective (Methodology in the Social Sciences) - Image 1

£89.99

The Guilford Press Longitudinal Structural Equation Modeling with Mplus: A Latent State-Trait Perspective (Methodology in the Social Sciences)

Name: Longitudinal Structural Equation Modeling with Mplus: A Latent State-Trait Perspective (Methodology in the Social Sciences)
Brand: The Guilford Press
Price: 89.99 GBP
Availability: InStock

Psychometrics

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Description

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.

Product Specifications

Brand: The Guilford Press
Format: hardcover
ASIN: 146254424X
Category: Books > Subjects > Health, Family & Lifestyle > Psychology & Psychiatry > Methodology > Psychometrics
Domain: Amazon UK
Release Date: 04 November 2020
Listed Since: 01 February 2020

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The Guilford Press Longitudinal Structural Equation Modeling with Mplus: A Latent State-Trait Perspective (Methodology in the Social Sciences)

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