Basic and advanced topics essential for understanding and applying factor analysis are thoroughy reviewed in this classic text. The book shows readers how to use factor analysis in their research by highlighting when the differences in mathematical procedures have a major impact on the substantive conclusions, when the differences are not relevant, and when factor analysis might not be the best procedure to use. The Introduction highlights the remarkably few changes the author would make if he were writing the book today. Advanced students and researchers in psychology, education and related areas appreciate the thorough review of the models.…mehr
Basic and advanced topics essential for understanding and applying factor analysis are thoroughy reviewed in this classic text. The book shows readers how to use factor analysis in their research by highlighting when the differences in mathematical procedures have a major impact on the substantive conclusions, when the differences are not relevant, and when factor analysis might not be the best procedure to use. The Introduction highlights the remarkably few changes the author would make if he were writing the book today. Advanced students and researchers in psychology, education and related areas appreciate the thorough review of the models.
Richard L. Gorsuch is Senior Professor of Psychology at the Fuller Theological Seminary. He is known for his book Factor Analysis (1983), and for the development of the software program UniMult.
Inhaltsangabe
1.Introduction to the Classic Second Edition 2. Introduction 3. Basic Factor Models 4. Matrix Algebra and Factor Analysis 5. Geometric Representation of Factor Models. 6. Diagonal and Multiple-Group Analysis. 7. Principle Factor Solutions. 8. Confirmatory Maximum Likelihood Solutions. 9. Determining the Number of Factors. 10. Rotation and Interpretation of Factors. 11. Rotation. 12. Higher-Order Factors. 13. Factor Scores. 14. Relating Factors Across Studies. 15. Data Transformations and Indices of Association. 16. Two- and Three-Mode Factor Analysis. 17. The Replication and Invariance of Factors. 18. Factor Analysis as a Research Technique. 19. Epilogue. Appendices: Data for Examples. Computer Programs for Factor Analysis. Accuracy of Computer Processing.
1.Introduction to the Classic Second Edition 2. Introduction 3. Basic Factor Models 4. Matrix Algebra and Factor Analysis 5. Geometric Representation of Factor Models. 6. Diagonal and Multiple-Group Analysis. 7. Principle Factor Solutions. 8. Confirmatory Maximum Likelihood Solutions. 9. Determining the Number of Factors. 10. Rotation and Interpretation of Factors. 11. Rotation. 12. Higher-Order Factors. 13. Factor Scores. 14. Relating Factors Across Studies. 15. Data Transformations and Indices of Association. 16. Two- and Three-Mode Factor Analysis. 17. The Replication and Invariance of Factors. 18. Factor Analysis as a Research Technique. 19. Epilogue. Appendices: Data for Examples. Computer Programs for Factor Analysis. Accuracy of Computer Processing.
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