Bayesian p-curve mixture models as a tool to dissociate effect size and effect prevalence
Abstract Much research in the behavioral sciences aims to characterize the “typical” person. A statistically significant group-averaged effect size is often interpreted as evidence that the typical person shows an effect, but that is only true under certain distributional assumptions for which expli...
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| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Nature Portfolio
2025-01-01
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| Series: | Communications Psychology |
| Online Access: | https://doi.org/10.1038/s44271-025-00190-0 |
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