Cargando…
Statistical Significance Filtering Overestimates Effects and Impedes Falsification: A Critique of Endsley (2019)
Whether in meta-analysis or single experiments, selecting results based on statistical significance leads to overestimated effect sizes, impeding falsification. We critique a quantitative synthesis that used significance to score and select previously published effects for situation awareness-perfor...
| Autores principales: | , , , , |
|---|---|
| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Frontiers Media S.A.
2020
|
| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7783317/ https://www.ncbi.nlm.nih.gov/pubmed/33414750 http://dx.doi.org/10.3389/fpsyg.2020.609647 |