Exploratory and Confirmatory Factor Analysis: Understanding Concepts and Applications
For individuals in the U.S. & U.S. territories
This volume presents the important concepts required for implementing two disciplines of factor analysis—exploratory factor analysis (EFA) and confirmatory factor analysis (CFA) with an emphasis on EFA/CFA linkages. Modern extensions of older data analysis methods (e.g., ANOVA, regression, MANOVA, and descriptive discriminant analysis) have brought theory-testing procedures to the analytic forefront. Variations of factor analysis, such as the factoring of people or time, have great potential to inform psychological research.
Thompson deftly presents highly technical material in an appealing and accessible manner. The book is unique in that it presents both exploratory and confirmatory methods within the single category of the general linear model (GLM). Canons of best factor analytic practice are presented and explained. An actual data set, generated by 100 graduate students and 100 faculty from the United States and Canada, is used throughout the book, allowing readers to replicate reported results and explore variations on reported analyses. Different combinations of these variables and participants are used to illustrate EFA and CFA applications. The book also includes a glossary, a notation summary, and various SPSS syntax files that readers may use to implement elegant factor analytic solutions.
Instructors or students who seek a clear and concise text about factor analysis will find this book to be an invaluable resource.
- Introduction to Factor Analysis
- Foundational Concepts
- Exploratory Factor Analysis Decision Sequence
- Components Versus Factors Controversies
- Comparisons of Some Extraction, Rotation, and Score Methods
- Oblique Rotations and Higher-Order Factors
- Six Two-Mode Techniques
- Confirmatory Rotation and Factor Interpretation Issues
- Internal Replicability Analyses
- Confirmatory Factor Analysis Decision Sequence
- Some Confirmatory Factor Analysis Interpretation Principles
- Testing Model Invariance
Appendix A: LibQUAL+™ Data
Appendix B: SPSS Syntax to Execute a "Best-Fit" Factor Rotation
About the Author
Bruce Thompson is a professor and distinguished research scholar at the Department of Educational Psychology at Texas A&M University, adjunct professor of family and community medicine at Baylor College of Medicine (Houston), and professor of interdisciplinary health sciences at Louisiana State University Health Sciences Center.
He is the editor of Educational and Psychological Measurement and the series Advances in Social Science Methodology, and past editor of two other journals. He is the author or editor of 9 books, 13 book chapters, 178 articles, 22 notes–editorials, and 11 book reviews. His contributions have been especially influential in moving the field with regard to greater emphasis on effect size reporting and interpretation, and promoting improved understanding of score reliability.
He is a fellow of APA and an elected member of the Council of the American Educational Research Association.