Principles and Practice of Structural Equation Modeling, Third Edition

ISBN-10: 1606238760

ISBN-13: 9781606238769

Edition: 3rd 2011 (Revised)

Authors: Rex B. Kline

List price: $57.00
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Book details

List price: $57.00
Edition: 3rd
Copyright year: 2011
Publisher: Guilford Publications
Publication date: 8/4/2010
Binding: Paperback
Pages: 427
Size: 7.00" wide x 10.00" long x 1.00" tall
Weight: 1.716
Language: English

Concepts and Tools
Introduction
The Book's Website
Pedagogical Approach
Getting Ready to Learn about SEM
Characteristics of SEM
Widespread Enthusiasm, but with a Cautionary Tale
Family History and a Reminder about Context
Extended Latent Variable Families
Plan of the Book
Summary
Fundamental Concepts
Multiple Regression
Partial Correlation and Part Correlation
Other Bivariate Correlations
Logistic Regression
Statistical Tests
Bootstrapping
Summary
Recommended Readings
Exercises
Data Preparation
Forms of Input Data
Positive Definiteness
Data Screening
Selecting Good Measures and Reporting about Them
Summary
Recommended Readings
Exercises
Computer Tools
Ease of Use, Not Suspension of Judgment
Human-Computer Interaction
Core SEM Programs and Book Website Resources
Other Computer Tools
Summary
Recommended Readings
Core Techniques
Specification
Steps of SEM
Model Diagram Symbols
Specification Concepts
Path Analysis Models
CFA Models
Structural Regression Models
Exploratory SEM
Summary
Recommended Readings
Exercises
Identification
General Requirements
Unique Estimates
Rule for Recursive Structural Models
Rules for Standard CFA Models
Rules for Nonstandard CFA Models
Rules for SR Models
A Healthy Perspective on Identification
Empirical Underidentification
Managing Identification Problems
Summary
Recommended Readings
Exercises
Appendix 6.A. Evaluation of the Rank Condition
Estimation
Maximum Likelihood Estimation
Detailed Example
Brief Example with a Start Value Problem
Fitting Models to Correlation Matrices
Alternative Estimators
A Healthy Perspective on Estimation
Summary
Recommended Readings
Exercises
Appendix 7.A Start Value Suggestions for Structural Models
Appendix 7.B Effect Decomposition in Nonrecursive Models and the Equilibrium Assumption
Appendix 7.C Corrected Proportions of Explained Variance for Nonrecursive Models
Hypothesis Testing
Eyes on the Prize
State of Practice, State of Mind
A Healthy Perspective on Fit Statistics
Types of Fit Statistics and "Golden Rules"
Model Chi-Square
Approximate Fit Indexes
Visual Summaries of Fit
Recommended Approach to Model Fit Evaluation
Detailed Example
Testing Hierarchical Models
Comparing Nonhierarchical Models
Power Analysis
Equivalent and Near-Equivalent Models
Summary
Recommended Readings
Exercises
Measurement Models and Confirmatory Factor Analysis
Naming and Reification Fallacies
Estimation of CFA Models
Detailed Example
Respecification of Measurement Models
Special Topics and Tests
Items as Indicators and Other Methods for Analyzing Items
Estimated Factor Scores
Equivalent CFA Models
Hierarchical CFA Models
Models for Multitrait-Multimethod Data
Measurement Invariance and Multiple-Sample CFA
Summary
Recommended Readings
Exercises
Appendix 9.A Start Value Suggestions for Measurement Models
Appendix 9.B Constraint Interaction in Measurement Models
Structural Regression Models
Analyzing SR Models
Estimation of SR Models
Detailed Example
Equivalent SR Models
Single Indicators in Partially Latent SR Models
Cause Indicators and Formative Measurement
Invariance Testing of SR Models
Reporting Results of SEM Analyses
Summary
Recommended Readings
Exercises
Appendix 10.A Constraint Interaction in SR Models
Advanced Techniques, Avoiding Mistakes
Mean Structures and Latent Growth Models
Logic of Mean Structures
Identification of Mean Structures
Estimation of Mean Structures
Latent Growth Models
Structured Means in Measurement Models
MIMIC Models as an Alternative to Multiple-Sample Analysis
Summary
Recommended Readings
Interaction Effects and Multilevel SEM
Interaction Effects of Observed Variables
Interaction Effects in Path Models
Mediation and Moderation Together
Interactive Effects of Latent Variables
Estimation with the Kenny-Judd Method
Alternative Estimation Methods
Rationale of Multilevel Analysis
Basic Multilevel Techniques
Convergence of SEM and MLM
Multilevel SEM
Summary
Recommended Readings
How to Fool Yourself with SEM
Tripping at the Starting Line: Specification
Improper Care and Feeding: Data
Checking Critical Judgment at the Door: Analysis and Respecification
The Garden Path: Interpretation
Summary
Recommended Readings
Suggested Answers to Exercises
References
Author Index
Subject Index
About the Author
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