57 citations · 97 across the 16 of their papers we have counts for
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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…
Contra-Analysis: Prioritizing Meaningful Effect Size in Scientific Research
Bruce A. Corliss, Yaotian Wang, Heman Shakeri +1
At every phase of scientific research, scientists must decide how to allocate limited resources to pursue the research inquiries with the greatest potential. This prioritization di…
The Least Difference in Means: A Statistic for Effect Size Strength and Practical Significance
Bruce A. Corliss, Yaotian Wang, Heman Shakeri +1
With limited resources, scientific inquiries must be prioritized for further study, funding, and translation based on their practical significance: whether the effect size is large…
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…