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Latent Variable Models: An Introduction to Factor, Path, and Structural Equation Analysis

โœ Scribed by John C. Loehlin

Publisher
Routledge Academic
Year
2003
Tongue
English
Leaves
330
Edition
4
Category
Library
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โœฆ Synopsis

Latent Variable Models is a simply tremendous statistics book. It is masterfully, and authoritatively written, with a touch of humor here and there. It is -- by far -- the best book on structural equations and related models.

โœฆ Table of Contents

Contents......Page 6
Preface......Page 10
1. Path models in factor, path, and structural equation analysis......Page 14
2. Fitting path models......Page 48
3. Fitting path and structural models to data from single group on a single occasion......Page 100
4. Fitting models involving repeated measures or multiple groups......Page 133
5. Exploratory factor analysis -- basics......Page 165
6. Exploratory factor analysis -- elaborations......Page 200
7. Issues in the application of latent variable analysis......Page 226
Appendices......Page 251
Answers to exercises......Page 278
References......Page 289
Index......Page 322

๐Ÿ“œ SIMILAR VOLUMES

Latent Variable Models: An Introduction
๐Ÿ“ Latent Variable Models: An Introduction to Factor, Path, and Structural Equation Analysis
โœ John C. Loehlin ๐Ÿ“‚ Library ๐Ÿ“… 2003 ๐Ÿ› Routledge Academic ๐ŸŒ English

This book introduces multiple-latent variable models by utilizing path diagrams to explain the underlying relationships in the models. This approach helps less mathematically inclined students grasp the underlying relationships between path analysis, factor analysis, and structural equation modeling

Latent Variable Models: An Introduction
๐Ÿ“ Latent Variable Models: An Introduction to Factor, Path, and Structural Equation Analysis
โœ John C. Loehlin ๐Ÿ“‚ Library ๐Ÿ“… 2003 ๐Ÿ› Psychology Press ๐ŸŒ English

This book introduces multiple-latent variable models by utilizing path diagrams to explain the underlying relationships in the models. This approach helps less mathematically inclined students grasp the underlying relationships between path analysis, factor analysis, and structural equation modeling

Latent variable models: an introduction
๐Ÿ“ Latent variable models: an introduction to factor, path, and structural equation analysis
โœ John C. Loehlin ๐Ÿ“‚ Library ๐Ÿ“… 2003 ๐Ÿ› Psychology Press ๐ŸŒ English

This book introduces multiple-latent variable models by utilizing path diagrams to explain the underlying relationships in the models. This approach helps less mathematically inclined students grasp the underlying relationships between path analysis, factor analysis, and structural equation modeling