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...
Main Authors: | Jonathan Z. Bakdash, Laura R. Marusich, Jared B. Kenworthy, Elyssa Twedt, Erin G. Zaroukian |
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Format: | Article |
Language: | English |
Published: |
Frontiers Media S.A.
2020-12-01
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Series: | Frontiers in Psychology |
Subjects: | |
Online Access: | https://www.frontiersin.org/articles/10.3389/fpsyg.2020.609647/full |
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