  In a recent simulation study, Goodman et al. (2019) compare several methods
with regard to their type I and type II error rates in case of a thick null
hypothesis that includes all values that are practically equivalent to the
point null hypothesis. They propose a hybrid decision criterion only declaring
a result "significant" if both a small $p$-value and a sufficiently large
effect size are obtained. We successfully verify the results using our own
software code in R and discuss an additional decision method that is tailored
to maintain a pre-defined false positive rate. We confirm that the hybrid
decision criterion has comparably low error rates in settings one can check for
but point out that the false discovery rate cannot be easily controlled by the
researcher. Our analyses are readily accessible and customizable on
https://github.com/drehero/goodman-replication.
