Abstract
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 Analysis of Variance. 7. Multi-Factor ANOVA Designs. 8. Split-Plot Factorial and Multivariate Analyses. 9. The Implications of Power Analyses. Appendices.
Keywords
Simple (philosophy)Statistical hypothesis testingEconometricsPower (physics)Computer scienceMathematicsStatisticsEpistemologyPhilosophyPhysics
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Publication Info
- Year
- 1998
- Type
- article
- Volume
- 36
- Issue
- 02
- Pages
- 36-1020
- Citations
- 807
- Access
- Closed
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Cite This
Kevin R. Murphy,
Brett Myors
(1998).
Statistical power analysis: a simple and general model for traditional and modern hypothesis tests.
Choice Reviews Online
, 36
(02)
, 36-1020.
https://doi.org/10.5860/choice.36-1020
Identifiers
- DOI
- 10.5860/choice.36-1020