Statistical Power Analysis
Routledge (Verlag)
978-1-84872-587-4 (ISBN)
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The fourth edition features:
-New Boxed Material sections provide examples of power analysis in action and discuss unique issues that arise as a result of applying power analyses in different designs.
-Many more worked examples help readers apply the concepts presented.
-Expanded coverage of power analysis for multifactor analysis of variance (ANOVA) to show readers how to analyze up to four factors with repeated measures on any or all of the factors.
-Re-designed and expanded web based One Stop F Calculator software and data sets that allow users to perform all of the book's analyses and conduct significance tests, power analyses, and assessments of N and alpha needed for traditional and minimum-effects tests.
-Easy to apply formulas for approximating the number of subjects required to reach adequate levels of power in a wide range of studies.
Intended as a supplement for graduate/advanced undergraduate courses in research methods or experimental design, intermediate, advanced, or multivariate statistics, statistics II, or psychometrics, taught in psychology, education, business, and other social and health sciences, researchers also appreciate the book‘s applied approach.
Kevin R. Murphy is an Affiliate Faculty member at Colorado State University. Brett Myors is an Adjunct Professor of Psychology at Griffith University in Australia. Allen Wolach is a retired Professor of Psychology from Illinois Institute of Psychology.
1. The Power of Statistical Tests. 2. A Simple and General Model for Power Analysis. 3. Power Analyses for Minimum-Effect Tests. 4. Using Power Analyses. 5. Correlation and Regression. 6. t-Tests and the One-Way Analysis of Variance. 7. Multi-Factor ANOVA Designs. 8. Studies with Multiple Observations for Each Subject: Repeated-Measures and Multivariate Analyses. 9. The Implications of Power Analyses. Appendix A. Translating Statistics into F and Calculating the Percentage of Variance Explained. Appendix B. One Stop F Table. Appendix C. One Stop PV Table. Appendix D. Working With the Noncentral F Distribution. Appendix E. The dfErr Needed for Power = .80 (Alpha = 0.05) in Tests of Traditional Null Hypothesis. Appendix F. The dfErr Needed for Power = .80 (Alpha = 0.05) in Tests of the Hypothesis That Treatments Account for 1% or Less in the Variance of Outcomes.
| Zusatzinfo | 19 Tables, black and white; 10 Line drawings, black and white; 2 Halftones, black and white; 12 Illustrations, black and white |
|---|---|
| Verlagsort | London |
| Sprache | englisch |
| Maße | 152 x 229 mm |
| Gewicht | 476 g |
| Themenwelt | Geisteswissenschaften ► Psychologie |
| Mathematik / Informatik ► Mathematik ► Statistik | |
| Sozialwissenschaften ► Pädagogik | |
| Sozialwissenschaften ► Soziologie | |
| Wirtschaft ► Volkswirtschaftslehre ► Ökonometrie | |
| ISBN-10 | 1-84872-587-6 / 1848725876 |
| ISBN-13 | 978-1-84872-587-4 / 9781848725874 |
| Zustand | Neuware |
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