Message-ID: <5EF8A990.5040106@uva.nl>
Date: 2020-06-28T14:30:40Z
From: Arne Janssen
Subject: [R-meta] Redundant predictors
L.S.,
As far as I understand, the fail-safe N analysis serves to estimate the
number of cases with zero effect size that would have to be added to
turn a significant effect size just not significant anymore. Is there
also an opposite test, i.e. how many cases with significant effect (for
example the case with the most extreme effect size in the dataset) that
would have to be added to turn a non-significant effect size into a
significant one?
Best wishes,
Arne Janssen