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.

lgrsnf/G:\!genesis\SD\9780127460505.pdf

nexusstc/Contributions to Correlational Analysis/4156a5b50de4354b01dc4e8a50f1e689.pdf

zlib/Science (General)/Robert J. Wherry (Auth.)/Contributions to Correlational Analysis_2368162.pdf

Robert J. Wherry, Sr

Academic Press, Incorporated

Morgan Kaufmann Publishers

Brooks/Cole

United States, United States of America

Orlando, Florida, 1984

Orlando ; London, 1984

lg1199773

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Bibliography: p. 453-456.
Includes indexes.

Content:
Front Matter, Page iii
Copyright, Page iv
Preface, Pages xi-xiii
CHAPTER 1 - Introduction, Pages 1-14
CHAPTER 2 - Measures of Relationship between Two Variables, Pages 15-33
CHAPTER 3 - Composite and Part Correlation, Pages 34-44
CHAPTER 4 - Inferred Correlations and Reliability Measures, Pages 45-62
CHAPTER 5 - Multiple and Composite Correlation, Pages 63-89
CHAPTER 6 - Test Selection Techniques, Pages 90-117
CHAPTER 7 - Synthetic Validity: The J-Coefficient, Pages 118-127
CHAPTER 8 - Test Analysis: Item Selection and Weighting, Pages 128-137
CHAPTER 9 - Factor Analysis: Early Models and Methods, Pages 138-154
CHAPTER 10 - Factor Extraction by Centroid Approaches, Pages 155-167
CHAPTER 11 - Factoring by the Principal-Axis Method, Pages 168-181
CHAPTER 12 - Communality Estimation and Improvement, Pages 182-210
CHAPTER 13 - The Rotation of Extracted Factors, Pages 211-229
CHAPTER 14 - Practical Applications of Hierarchical Rotation, Pages 230-248
CHAPTER 15 - Factoring Large Numbers of Items: Wherry—Winer Method, Pages 249-261
CHAPTER 16 - Other Factor Applications: Profile Analysis, Pages 262-278
CHAPTER 17 - Comparing Factors and Computing Factor Scores, Pages 279-287
CHAPTER 18 - Multiple Criteria: Canonical Correlation, Pages 288-309
APPENDIX A - Significance Tables, Pages 310-323
APPENDIX B - Regression Computer Programs, Pages 324-365
APPENDIX C - Factor Analysis Computer Programs, Pages 366-411
APPENDIX D - Special Computer Subroutines, Pages 412-452
Bibliography, Pages 453-456
Author Index, Pages 457-459
Subject Index, Pages 460-463

2014-08-05