Principles and Practice of Structural Equation Modeling, Third Edition / Edition 3

Principles and Practice of Structural Equation Modeling, Third Edition / Edition 3

by Rex B. Kline
     
 

ISBN-10: 1606238779

ISBN-13: 9781606238776

Pub. Date: 08/19/2010

Publisher: Guilford Publications, Inc.

Designed for researchers and students without an extensive quantitative background, this book offers an informative guide to the application, interpretation, and pitfalls of structural equation modeling (SEM) in psychology and the social sciences. This is an accessible volume which covers introductory techniques, including path analysis and confirmatory factor…  See more details below

Overview

Designed for researchers and students without an extensive quantitative background, this book offers an informative guide to the application, interpretation, and pitfalls of structural equation modeling (SEM) in psychology and the social sciences. This is an accessible volume which covers introductory techniques, including path analysis and confirmatory factor analysis, and provides an overview of more advanced methods, such as the evaluation of nonlinear effects, the analysis of means in covariance structure models, and latent growth models for longitudinal data. Providing examples from various disciplines to illustrate all aspects of SEM, the author offers clear instructions on the preparation and screening of data, common mistakes to avoid, and features of widely used software programs (Amos, EQS, and LISREL). Readers will acquire the skills necessary to begin to use SEM in their own research, and to interpret and critique the use of the method by others, making this a valuable text for students of psychology, communication sciences, education, sociology, and related fields.

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Product Details

ISBN-13:
9781606238776
Publisher:
Guilford Publications, Inc.
Publication date:
08/19/2010
Series:
Methodology In The Social Sciences Series
Edition description:
Third Edition
Pages:
427
Product dimensions:
7.10(w) x 10.10(h) x 1.00(d)

Table of Contents

1Introduction3
2Basic statistical concepts : I. correlation and regression20
3Basic statistical concepts : II. data preparation and screening45
4Core SEM techniques for software63
5Introduction to path analysis93
6Details of path analysis123
7Measurement models and confirmatory factor analysis165
8Models with structural and measurement components209
9Nonrecursive structural models237
10Mean structures and latent growth models263
11Multiple-sample SEM289
12How to fool yourself with SEM313
13Other horizons325

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