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An Introduction to Applied Multivariate Analysis book cover

1st Edition

An Introduction to Applied Multivariate Analysis

By Tenko Raykov, George A. Marcoulides Copyright 2008

    This comprehensive text introduces readers to the most commonly used multivariate techniques at an introductory, non-technical level. By focusing on the fundamentals, readers are better prepared for more advanced applied pursuits, particularly on topics that are most critical to the behavioral, social, and educational sciences. Analogies betwe

    Preface. 1. Introduction to Multivariate Statistics. 2. Elements of Matrix Theory. 3. Data Screening and Preliminary Analyses. 4. Multivariate Analysis of Group Differences. 5. Repeated Measure Analysis of Variance. 6. Analysis of Covariance. 7. Principal Component Analysis. 8. Exploratory Factor Analysis. 9. Confirmatory Factor Analysis. 10. Discriminant Function Analysis. 11. Canonical Correlation Analysis. 12. An Introduction to the Analysis of Missing Data. 13. Multivariate Analyses of Change Processes. References. Appendix.

    Biography

    Tenko Raykov is a Professor of Measurement and Quantitative Methods at Michigan State University. He received his Ph.D. in Mathematical Psychology from Humboldt University in Berlin. He is an editorial board member of the British Journal of Mathematical and Statistical Psychology, Multivariate Behavioral Research, Psychological Methods, and Structural Equation Modeling. George A. Marcoulides is a Professor of Research Methods and Statistics at the University of California, Riverside. He is the Editor of Structural Equation Modeling, the Quantitative Methodology Series, and an editorial board member of numerous other measurement and statistics journals.

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