Structural Equation Modeling

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Overview

This volume is intended to serve as a didactically-oriented resource covering a broad range of advanced topics often not discussed in introductory courses on structural equation modeling (SEM). Such topics are important in furthering the understanding of foundations and assumptions underlying SEM as well as in exploring SEM as a potential tool to address new types of research questions that might not have arisen during a first course. Chapters focus on the clear explanation and application of topics, rather than on analytical derivations, and contain syntax and partial output files from popular SEM software.
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Product Details

Table of Contents

1 Introduction 1
2 The problem of equivalent structural models 13
3 Formative measurement and feedback loops 43
4 Power analysis in covariance structure modeling 69
5 Evaluating between-group differences in latent variables means 119
6 Using latent growth models to evaluate longitudinal change 171
7 Mean and covariance structure mixture models 197
8 Structural equation models of latent interaction and quadratic effects 225
9 Nonnormal and categorical data in structural equation modeling 269
10 Analyzing structural equation models with missing data 313
11 Using multilevel structural equation modeling techniques with complex sample data 345
12 The use of Monte Carlo studies in structural equation modeling research 385
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