Principles and Practice of Structural Equation Modeling, Second Edition

by Kline, Rex B.

• ISBN13: 9781572306905
• ISBN10: 1572306904
• Edition: 2nd
• Format: Paperback
• Copyright: 2004-09-29
• Publisher: The Guilford Press

Summary

The bestselling text that has been so popular with graduate students and researchers for providing an accessible guide to the application, interpretation, and pitfalls of structural equation modeling (SEM) has now been carefully revised to be even more useful. New to this edition are: * The first SEM text web page, offering free access to data and program syntax files for many of the research examples in the book, electronic overheads that readers can download and print, and links to other useful sites. * Separate chapters that review fundamental statistical concepts: one on correlation and regression (providing a foundation for less advanced readers), and another on data preparation and screening. * More coverage of the relation between measurement models and structural models in Chapter 8, which directly compares both types of models. * New, separate chapters on nonrecursive models of multiple-sample SEM in Part III, including extensive explanations of latent grow

Author Biography

Rex B. Kline, PhD, is an associate professor of Psychology at Concordia University in Montréal. Since earning a PhD in psychology, his areas of research and writing have included the psychometric evaluation of cognitive abilities, child clinical assessment, structural equation modeling, and usability engineering in computer science. Dr. Kline has published three books and more than 40 articles in research journals and is the coauthor of a teacher-informant rating scale for referred children.

Table of Contents

I. FUNDAMENTAL CONCEPTS
1 Introduction	3	(17)
1.1 Plan of the Book	3	(3)
1.2 Notation	6	(1)
1.3 Computer Programs for SEM	6	(2)
1.4 Statistical Journeys	8	(1)
1.5 Family Values	9	(7)
1.6 Extended Latent Variable Families	16	(1)
1.7 Family History	17	(1)
1.8 Internet Resources	18	(1)
1.9 Summary	19	(1)
2 Basic Statistical Concepts:	20	(25)
I. Correlation and Regression
2.1 Standardized and Unstandardized Variables	20	(2)
2.2 Bivariate Correlation and Regression	22	(7)
2.3 Partial Correlation	29	(1)
2.4 Multiple Correlation and Regression	30	(10)
2.5 Statistical Tests	40	(2)
2.6 Bootstrapping	42	(1)
2.7 Summary	43	(1)
2.8 Recommended Readings	44	(1)
3 Basic Statistical Concepts:	45	(18)
II. Data Preparation and Screening
3.1 Data Preparation	45	(3)
3.2 Data Screening	48	(10)
3.3 Score Reliability and Validity	58	(3)
3.4 Summary	61	(1)
3.5 Recommended Readings	62	(1)
4 Core SEM Techniques and Software	63	(30)
4.1 Steps of SEM	63	(3)
4.2 Path Analysis: A Structural Model of Illness Factors	66	(4)
4.3 Confirmatory Factor Analysis: A Measurement Model of Arousal	70	(4)
4.4 A Structural Regression Model of Family Risk and Child Adjustment	74	(3)
4.5 Extensions	77	(1)
4.6 SEM Computer Programs	77	(12)
4.7 Summary	89	(1)
4.8 Recommended Readings	90	(3)
II. CORE TECHNIQUES
5 Introduction to Path Analysis	93	(30)
5.1 Correlation and Causation	93	(2)
5.2 Specification of Path Models	95	(7)
5.3 Types of Path Models	102	(3)
5.4 Principles of Identification	105	(5)
5.5 Sample Size	110	(1)
5.6 Overview of Estimation Options	111	(1)
5.7 Maximum Likelihood Estimation	112	(5)
5.8 Other Issues	117	(3)
5.9 Summary	120	(1)
5.10 Recommended Readings	120	(1)
APPENDIX 5.A Recommendations for Start Values	121	(1)
APPENDIX 5.B Effect Size Interpretation of Standardized Path Coefficients	121	(2)
6 Details of Path Analysis	123	(42)
6.1 Detailed Analysis of a Recursive Model of Illness Factors	123	(10)
6.2 Assessing Model Fit	133	(12)
6.3 Testing Hierarchical Models	145	(6)
6.4 Comparing Nonhierarchical Models	151	(2)
6.5 Equivalent Models	153	(3)
6.6 Power Analysis	156	(2)
6.7 Other Estimation Options	158	(2)
6.8 Summary	160	(1)
6.9 Recommended Readings	161	(1)
APPENDIX 6.A Statistical Tests for Indirect Effects in Recursive Path Models	162	(1)
APPENDIX 6.B Amos Basic Syntax	163	(1)
APPENDIX 6.C Estimation of Recursive Path Models with Multiple Regression	164	(1)
7. Measurement Models and Confirmatory Factor Analysis	165	(44)
7.1 Specification of CFA Models	165	(4)
7.2 Identification of CFA Models	169	(6)
7.3 Naming and Reification Fallacies	175	(1)
7.4 Estimation of CFA Models	176	(4)
7.5 Testing CFA Models	180	(12)
7.6 Equivalent CFA Models	192	(2)
7.7 Analyzing Indicators with Nonnormal Distributions	194	(4)
7.8 Special Types of CFA Models	198	(6)
7.9 Other Issues	204	(2)
7.10 Summary	206	(1)
7.11 Recommended Readings	206	(1)
APPENDIX 7.A Recommendations for Start Values	207	(1)
APPENDIX 7.B CALIS Syntax	207	(2)
8 Models with Structural and Measurement Components	209	(28)
8.1 Characteristics of SR Models	209	(2)
8.2 Analysis of Hybrid Models	211	(8)
8.3 Estimation of SR Models	219	(2)
8.4 A Detailed Example	221	(8)
8.5 Other Issues	229	(3)
8.6 Summary	232	(1)
8.7 Recommended Readings	233	(1)
APPENDIX 8.A SEPATH Syntax	234	(3)
III. ADVANCED TECHNIQUES; AVOIDING MISTAKES
9. Nonrecursive Structural Models	237	(26)
9.1 Specification of Nonrecursive Models	237	(3)
9.2 Identification of Nonrecursive Models	240	(9)
9.3 Estimation of Nonrecursive Models	249	(5)
9.4 Examples	254	(6)
9.5 Summary	260	(1)
9.6 Recommended Readings	261	(1)
APPENDIX 9.A EQS Syntax	262	(1)
10 Mean Structures and Latent Growth Models	263	(1)
10.1 Introduction to Mean Structures	263	(4)
10.2 Identification of Mean Structures	267	(1)
10.3 Estimation of Mean Structures	268	(1)
10.4 Structured Means in Measurement Models	269	(3)
10.5 Latent Growth Models	272	(13)
10.6 Extensions	285	(2)
10.7 Summary	287	(1)
10.8 Recommended Readings	287	(1)
APPENDIX 10.A Mplus Syntax	288	(1)
11 Multiple-Sample SEM	289	(1)
11.1 Rationale of Multiple-Sample SEM	289	(1)
11.2 Multiple-Sample Path Analysis	290	(5)
11.3 Multiple-Sample CFA	295	(11)
11.4 Extensions	306	(1)
11.5 MIMIC Models as an Alternative to Multiple-Sample Analysis	307	(3)
11.6 Summary	310	(1)
11.7 Recommended Readings	311	(1)
APPENDIX 11.A LISREL SIMPLIS Syntax	312	(1)
12 How to Fool Yourself with SEM	313	(1)
12.1 Tripping at the Starting Line: Specification	313	(3)
12.2 Improper Care and Feeding: Data	316	(2)
12.3 Checking Critical Judgment at the Door: Analysis and Respecification	318	(3)
12.4 The Garden Path: Interpretation	321	(3)
12.5 Summary	324	(1)
12.6 Recommended Readings	324	(1)
13 Other Horizons	325	(1)
13.1 Interaction and Curvilinear Effects	325	(7)
13.2 Multilevel Structural Equation Models	332	(4)
13.3 Summary	336	(1)
13.4 Recommended Readings	337	(1)
References	338	(14)
Author Index	352	(4)
Subject Index	356