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Principles and practice of structural equation modeling

Author: Kline, Rex B. Series: Methodology in the social sciences Publisher: Guilford Press 2005.Edition: 2nd ed.Language: EnglishDescription: 366 p. : Graphs ; 24 cm.ISBN: 1572306904Type of document: BookBibliography/Index: Includes bibliographical references and index
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Item type Current location Collection Call number Status Date due Barcode Item holds
Book Asia Campus
Textbook Collection (PhD)
Print H61.25 .K55 2005
(Browse shelf)
900202111
Available 900202111
Book Europe Campus
Main Collection
Print H61.25 .K55 2005
(Browse shelf)
001176464
Available 001176464
Book Middle East Campus
Main Collection
Print H61.25 .K55 2005
(Browse shelf)
500004133
Available 500004133
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Includes bibliographical references and index

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

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