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A Cautionary Note on Estimating Effect Size

delete2021-03-18
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OA
AI
D
Don van den Bergh *
J
Julia M. Haaf
A
Alexander Ly
J
Jeffrey N. Rouder
E
Eric‐Jan Wagenmakers
DOI:10.1177/2515245921992035delete
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Abstract

Abstract

En 中文
An increasingly popular approach to statistical inference is to focus on the estimation of effect size. Yet this approach is implicitly based on the assumption that there is an effect while ignoring the null hypothesis that the effect is absent. We demonstrate how this common null-hypothesis neglect may result in effect size estimates that are overly optimistic. As an alternative to the current approach, a spike-and-slab model explicitly incorporates the plausibility of the null hypothesis into the estimation process. We illustrate the implications of this approach and provide an empirical example.
Keywords:
effect size
Bayesian estimation
modeling
shrinkage
open materials
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Journal

A
Advances in Methods and Practices in Psychological Science
IF:
13.4
Papers:
311
Citations:
3.7K

Organization

U
university of amsterdam
Scholars:
6.0W
Papers: 5.1W
Citations: 94
U
university of california irvine
Scholars:
2.3W
Papers: 1.7W
Citations: 55