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...

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Detalles Bibliográficos
Autores principales: Bakdash, Jonathan Z., Marusich, Laura R., Kenworthy, Jared B., Twedt, Elyssa, Zaroukian, Erin G.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2020
Materias:
Psychology
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

Internet

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

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