Giner-Sorolla, Roger, Montoya, Amanda K., Reifman, Alan, Carpenter, Tom P., Lewis, Neil A., Jr., Aberson, Christopher L., Bostyn, Dries H., Conrique, Beverly G., Ng, Brandon W., Schoemann, Alexander M., and others. (2024) Power to detect what? considerations for planning and evaluating sample size. Personality and Social Psychology Review, 28 (3). pp. 276-301. ISSN 1088-8683. E-ISSN 1532-7957. (doi:10.1177/10888683241228328) (KAR id:104532)
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Official URL: https://doi.org/10.1177/10888683241228328 |
Abstract
In the wake of the replication crisis, social and personality psychologists have increased attention to power analysis and the adequacy of sample sizes. In this paper, we analyze current controversies in this area, including choosing effect sizes, why and whether power analyses should be conducted on already-collected data, how to mitigate negative effects of sample size criteria on specific kinds of research, and which power criterion to use. For novel research questions, we advocate that researchers base sample sizes on effects that are likely to be cost-effective for other people to implement (in applied settings) or to study (in basic research settings), given the limitations of interest-based minimums or field-wide effect sizes. We discuss two alternatives to power analysis, precision analysis and sequential analysis, and end with recommendations for improving the practices of researchers, reviewers, and journal editors in social-personality psychology.
Item Type: | Article |
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DOI/Identification number: | 10.1177/10888683241228328 |
Projects: | SPSP Power Analysis Working Group |
Uncontrolled keywords: | power analysis, sample size, statistics, precision analysis, sequential analysis |
Subjects: |
B Philosophy. Psychology. Religion > BF Psychology Q Science > QA Mathematics (inc Computing science) > QA276 Mathematical statistics |
Divisions: | Divisions > Division of Human and Social Sciences > School of Psychology |
Funders: | University of Kent (https://ror.org/00xkeyj56) |
Depositing User: | Roger Giner-Sorolla |
Date Deposited: | 08 Jan 2024 13:52 UTC |
Last Modified: | 05 Nov 2024 13:10 UTC |
Resource URI: | https://kar.kent.ac.uk/id/eprint/104532 (The current URI for this page, for reference purposes) |
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