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Statistical power analysis for the behavioral sciences

Author: Jacob Cohen
Publisher: Hillsdale, N.J. : L. Erlbaum Associates, 1988.
Edition/Format:   Print book : English : 2nd edView all editions and formats
Summary:
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  Read more...
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Material Type: Internet resource
Document Type: Book, Internet Resource
All Authors / Contributors: Jacob Cohen
ISBN: 9780805802832 0805802835
OCLC Number: 17877467
Description: xxi, 567 pages ; 24 cm
Contents: Chapter 1. The concepts of power analysis --
Chapter 2. The t test for means --
Chapter 3. The significance of a product moment r[sub 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. Chi-square 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.
Responsibility: Jacob Cohen.
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Abstract:

This non-technical guide to power analysis in research planning in the behavioural sciences, provides users of applied statistics with the tools needed for more effective analysis. This edition  Read more...

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"...provides a very convenient source for formulas and tables to compute power in some common analyses....the excellent writing allows lending the book and being comfortable in expecting the Read more...

 
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The concepts of power analysis -- Chapter 2. The t test for means -- Chapter 3. The significance of a product moment r[sub 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. Chi-square 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.<\/span>\"@en<\/a> ;\u00A0\u00A0\u00A0\nschema:description<\/a> \"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. 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