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stat.ME2023
Contra-Analysis for Determining Negligible Effect Size in Scientific Research
Bruce A. Corliss, Yaotian Wang, Heman Shakeri +1
Scientific experiments study interventions that show evidence of an effect size that is meaningfully large, negligibly small, or inconclusively broad. Previously, we proposed contr…
stat.ME2022
The Most Difference in Means: A Statistic for the Strength of Null and Near-Zero Results
Bruce A. Corliss, Taylor R. Brown, Tingting Zhang +3
Statistical insignificance does not suggest the absence of effect, yet scientists must often use null results as evidence of negligible (near-zero) effect size to falsify scientifi…