Statistical Power Analysis is a nontechnical guide to power analysis in research planning that provides users of applied statistics with the tools they need for more effective analysis. The Second Edition includes:
* a chapter covering power analysis in set correlation and multivariate methods;
* a chapter considering effect size, psychometric reliability, and the efficacy of "qualifying" dependent variables and;
* expanded power and sample size tables for multiple regression/correlation.
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Jacob Cohen
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HardBack. Condition: Very Good. No jacket. Hardcover. 400 pages. 2 editon. Lang. en. This Is A Nontechnical Guide To Power Analysis In Research Planning That Provides Users Of Applied Statistics With The Tools They Need For More Effective Analysis. The Second Edition Includes: A Chapter Covering Power Analysis In Set Correlation And Multivariate Methods; A Chapter Considering Effect Size, Psychometric Reliability, And The Efficacy Of Qualifying Dependent Variables And; Expanded Power And Sample Size Tables For Multiple Regressioncorrelation. Chapter 1. The Concepts Of Power Analysis Chapter 2. The T Test For Means Chapter 3. The Significance Of A Product Moment Rsub S Chapter 4. Differences Between Correlation Coefficients Chapter 5. The Test That A Proportion Is .50 And The Sign Test Chapter 6. Differences Between Proportions Chapter 7. Chisquare Tests For Goodness Of Fit And Contingency Tables Chapter 8. The Analysis Of Variance And Covariance Chapter 9. Multiple Regression And Correlation Analysis Chapter 10. Set Correlation And Multivariate Methods Chapter 11. Some Issues In Power Analysis Chapter 12. Computational Procedures. Jacob Cohen. Includes Index. Bibliography: P. 553558. First edition published in 1969. Revised edition published in 1977. This edition 1988. Light wear. There is a name inscribed inside the front board in blue ink. There are several faint marksstains on the top face of the page block. Binding tight and square, contents clean and unmarked. Seller Inventory # 100155886
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