A Beginner's Guide to Structural Equation Modeling
This best-seller introduces readers to structural equation modeling (SEM) so they can conduct their own analysis and critique related research. Noted for its accessible, applied approach, chapters cover basic concepts and practices and computer input/output from the free student version of Lisrel 8.8 in the examples. Each chapter features an outline, key concepts, a summary, numerous examples from a variety of disciplines, tables, and figures, including path diagrams, to assist with conceptual understanding.
The book first reviews the basics of SEM, data entry/editing, and correlation. Next the authors highlight the basic steps of SEM: model specification, identification, estimation, testing, and modification, followed by issues related to model fit and power and sample size. Chapters 6 through 10 follow the steps of modeling using regression, path, confirmatory factor, and structural equation models. Next readers find a chapter on reporting SEM research including a checklist to guide decision-making, followed by one on model validation. Chapters 13 through 16 provide examples of various SEM model applications. The book concludes with the matrix approach to SEM using examples from previous chapters.
Highlights of the new edition include:
Designed for introductory graduate level courses in structural equation modeling or factor analysis taught in psychology, education, business, and the social and healthcare sciences, this practical book also appeals to researchers in these disciplines. An understanding of correlation is assumed. To access the website visit the book page or the Textbook Resource page at http: //www.psypress.com/textbook-resources/ for more details.
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2 Data Entry and Data Editing Issues
4 SEM Basics
5 Model Fit
6 Regression Models
7 Path Models
8 Confirmatory Factor Models
13 Multiple Sample Multiple Group and Structured Means Models
14 SecondOrder Dynamic and Multitrait Multimethod Models
15 Multiple IndicatorMultiple Indicator Cause Mixture and Multilevel Models
16 Interaction Latent Growth and Monte Carlo Methods
17 Matrix Approach to Structural Equation Modeling
Introduction to Matrix Operations
Answers to Selected Exercises