00000cam a22000004i 4500 UP-1685594773861387602 Buklod 20070906151824.0 i|||||||||||||| | ta 160419s2004 dcu rb |||| u|eng d 1591470935 (iLib)UPBAG-00000022725 BC-50929 Php2,954.00 DLC BAG rda eng BF 39.2 F32 T48 Thompson, Bruce 1951- author. Exploratory and confirmatory factor analysis understanding concepts and applications Bruce Thompson. Washington, D.C. American Psychological Association 2004. x, 195 pages 25 cm Includes bibliographical references (pages 183-190) and index. 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. 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. Factor analysis Textbooks. Factor analysis, Statistical. FO UPBAG UPBAG-MAIN BF 39.2 F32 T48 Book