The statistical significance filter leads to overoptimistic expectations of replicability
Abstract
It is well-known in statistics (e.g., Gelman & Carlin, 2014) that treating a result as publishable just because the p-value is less than 0.05 leads to overoptimistic expectations of replicability. These effects get published, leading to an overconfident belief in replicability. We demonstrate the adverse consequences of this statistical significance filter by conducting seven direct replication attempts (268 participants in total) of a recent...
Paper Details
Title
The statistical significance filter leads to overoptimistic expectations of replicability
Published Date
Dec 1, 2018
Volume
103
Pages
151 - 175
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