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

by Loehlin, John C.

• ISBN13: 9781410609823
• ISBN10: 1410609820
• Edition: 4th
• Format: eBook
• Copyright: 2004-04-08
• Publisher: Taylor & Francis

Summary

This fourth edition introduces multiple-latent variable models by utilizing path diagrams to explain the underlying relationships in the models. The book is intended for advanced students and researchers in the areas of social, educational, clinical, ind

Table of Contents

Preface	p. ix
Path Models in Factor, Path, and Structural Equation Analysis	p. 1
Fitting Path Models	p. 35
Fitting Path and Structural Models to Data from a Single Group on a Single Occasion	p. 87
Fitting Models Involving Repeated Measures or Multiple Groups	p. 120
Exploratory Factor Analysis-Basics	p. 152
Exploratory Factor Analysis-Elaborations Rescalings-alpha and Canonical Factors	p. 187
Issues in the Application of Latent Variable Models	p. 213
Simple Matrix Operations	p. 238
Derivation of Matrix Version of Path Equations	p. 245
Lisrel Matrices and Examples	p. 247
Various Goodness-Of-Fit Indices	p. 251
Phantom Variables	p. 258
Data Matrix for Thurstone's Box Problem	p. 260
Table of Chi Square	p. 262
Noncentral Chi Square for Estimating Power	p. 263
Power of a Test of Poor Fit and Sample Sizes Needed for Powers of .80 and .90	p. 264
Answers to Exercises	p. 265
References	p. 276
Index	p. 309
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