TY  - BOOK
AU  - Thompson,Bruce
TI  - Exploratory and confirmatory factor analysis: understanding concepts and applications 
SN  - 1591470935
AV  - BF39.2.F32 T48 2004
U1  - 150.15195354 22
PY  - 2004///]
CY  - Washington, DC
PB  - American Psychological Association
KW  - Factor analysis
KW  - Textbooks
KW  - Factor Analysis, Statistical
N1  - Includes bibliographical references (pages 183-190); Preface -- Chap. 1. Introduction to Factor Analysis -- Chap. 2. Foundational Concepts -- Chap. 3. EFA Decision Sequence -- Chap. 4. Components versus Factors Controversies -- Chap. 5. Comparisons of Some Extraction, Rotation, and Score Methods -- Chap. 6. Oblique Rotations and Higher-order Factors -- Chap. 7. Six Two-mode Techniques -- Chap. 8. Confirmatory Rotation and Factor Interpretation Issues -- Chap. 9. Internal Replicability Analyses -- Chap. 10. CFA Decision Sequence -- Chap. 11. Some CFA Interpretation Principles -- Chap. 12. Testing Model Invariance -- Appendix A: LibQUAL+TM Data -- Appendix B: SPSS Syntax to Execute a "Best Fit" Factor Rotation -- Notation -- Glossary -- References -- Index -- About the author
N2  - This book 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. The author 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
ER  -