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Routledge Latent Variable Growth Curve Modeling - Second Edition

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Description

This comprehensive guide to latent variable growth curve modeling (LGM) equips researchers and statisticians with practical methods for analysing repeated measures data. The Second Edition builds on foundational knowledge of analysis of variance and structural equation modeling (SEM) to introduce advanced LGM techniques with real-world applications. The book covers the statistical basis for LGM alongside methodological extensions, making complex concepts accessible through detailed explanations and worked examples. Published by Routledge as part of the Quantitative Methodology Series, this resource is essential for social scientists, medical researchers, and data analysts working with longitudinal studies. The included CD provides sample data, syntax, and output files for EQS, Amos, LISREL, and Mplus software, enabling readers to implement techniques immediately in their own research projects.

Key Features

The Second Edition presents latent variable growth curve modeling techniques designed for researchers familiar with analysis of variance and structural equation modeling methods.

Comprehensive coverage of LGM statistical basis and methodological extensions provides both theoretical grounding and practical application frameworks.

Sample data, syntax, input and output files for EQS, Amos, LISREL, and Mplus software are included on the accompanying CD.

Real-world examples throughout the book demonstrate how to apply latent variable growth curve modeling to repeated measures analysis in social and medical sciences.

Routledge's Quantitative Methodology Series positioning ensures alignment with current statistical practice and research standards.

Product Specifications

Format
hardcover
Domain
Amazon UK
Release Date
09 May 2006
Listed Since
04 January 2007

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