Contributions to Correlational Analysis
eBook - PDF

Contributions to Correlational Analysis

  1. 478 pages
  2. English
  3. PDF
  4. Only available on web
eBook - PDF

Contributions to Correlational Analysis

Book details
Table of contents
Citations

About This Book

Contributions to Correlational Analysis provides information pertinent to the fundamental aspects of correlational analysis that can be used to replace and enhance many of the parametric and nonparametric inferential statistical tests. This book discusses the basic concern of correctional analysis, which is the relationship between two sets of measure. Organized into 18 chapters, this book begins with an overview of the nature of correction analysis. This text then explains the simple linear relationships in which explains the simple linear relationships in which Y and X each consists of some single measurement per person and the relationship is assumed to be linear. Other chapters consider basic ways of expanding the process to include more or different measurements of either X or Y but with no attempt to find the best functions. This book discusses as well the topic of factor analysis. The final chapter deals with canonical correlation. This book is a valuable resource for psychologists.

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Yes, you can access Contributions to Correlational Analysis by Robert J. Wherry in PDF and/or ePUB format, as well as other popular books in Matemáticas & Matemática aplicada. We have over one million books available in our catalogue for you to explore.

Information

Publisher
Academic Press
Year
2014
ISBN
9781483266077
Topic
Matemáticas
Subtopic
Matemática aplicada

Table of contents

  1. Front Cover
  2. Contributions to Correlational Analysis
  3. Copyright Page
  4. Table of Contents
  5. Preface
  6. Chapter 1. Introduction
  7. Chapter 2. Measures of Relationship between Two Variables
  8. Chapter 3. Composite and Part Correlation
  9. Chapter 4. Inferred Correlations and Reliability Measures
  10. Chapter 5. Multiple and Composite Correlation
  11. Chapter 6. Test Selection Techniques
  12. Chapter 7. Synthetic Validity: The J-Coefficient
  13. Chapter 8. Test Analysis: Item Selection and Weighting
  14. Chapter 9. Factor Analysis: Early Models and Methods
  15. Chapter 10. Factor Extraction by Centroid Approaches
  16. Chapter 11. Factoring by the Principal-Axis Method
  17. Chapter 12. Communality Estimation and Improvement
  18. Chapter 13. The Rotation of Extracted Factors
  19. Chapter 14. Practical Applications of Hierarchical Rotation
  20. Chapter 15. Factoring Large Numbers of Items: Wherry–Winer Method
  21. Chapter 16. Other Factor Applications: Profile Analysis
  22. Chapter 17. Comparing Factors and Computing Factor Scores
  23. Chapter 18. Multiple Criteria: Canonical Correlation
  24. Appendix A: Significance Tables
  25. Appendix B: Regression Computer Programs
  26. Appendix C: Factor Analysis Computer Programs
  27. Appendix D: Special Computer Subroutines
  28. Bibliography
  29. Additional Readings
  30. Author Index
  31. Subject Index