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Uses of uncertain statistical power: Designing future studies, not evaluating completed studies
Jolynn Pek1, Kathryn J Hoisington-Shaw1, Duane T Wegener1
1Department of Psychology, Ohio State University.
Statistical power is crucial for robust psychological research. This review clarifies its uses in study design and evaluation, highlighting best practices for reliable findings and avoiding counterproductive applications.
Area of Science:
- Psychology
- Statistics
- Research Methodology
Background:
- Statistical power is central to methodological reforms aimed at enhancing the reliability of psychological research findings.
- The application of statistical power has varied, with some uses aligning with its definition and others diverging.
- New developments in power analysis address uncertainty stemming from sampling variability.
Purpose of the Study:
- To introduce a taxonomy of three distinct uses of statistical power: comparing procedure performance, designing studies, and evaluating completed studies.
- To review fundamental concepts of statistical power and recent quantitative advancements in power analysis.
- To provide practical guidance and tools for applying power analysis in research design.
Main Methods:
- Literature review of fundamental concepts and new quantitative developments in power analysis.
- Introduction of a taxonomy for classifying the uses of statistical power.
- Development of web applications and examples to illustrate power analysis for study design.
Main Results:
- Identified three primary uses of statistical power: comparing methods, designing studies, and evaluating completed studies.
- Demonstrated the utility of new quantitative developments in power analysis, particularly for study design.
- Highlighted the potential counterproductive nature of using power for evaluating completed studies.
Conclusions:
- Statistical power is best utilized in the design and planning phases of research.
- New methods and tools can improve the application of power analysis for robust study design.
- Recommendations are provided for the effective application of statistical power in substantive psychological research.
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