Contents: Preface. Preface to the First Edition. Introduction. Basic Factor Models. Matrix Algebra and Factor Analysis. Geometric Representation of Factor Models. Diagonal and Multiple-Group Analysis. Principle Factor Solutions. Confirmatory Maximum Likelihood Solutions. Determining the Number of Factors. Rotation and Interpretation of Factors. Rotation. Higher-Order Factors. Factor Scores. Relating Factors Across Studies. Data Transformations and Indices of Association. Two- and Three-Mode Factor Analysis. The Replication and Invariance of Factors. Factor Analysis as a Research Technique. Epilogue. Appendices: Data for Examples. Computer Programs for Factor Analysis. Accuracy of Computer Processing.

About the Author

Richard L. Gorsuch

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"The coverage of the text is extensive. It will give the student a very comprehensive view of factor analysis....should serve as a very useful reference for the student (and researcher) for many years."
—Contemporary Psychology

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About the Author

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