Open Peer Commentary Chow: Statistical significance
Null-hypothesis tests are not completely stupid, but Bayesian statistics are better
David Rindskopf a1 a1 Educational Psychology, City University of New York Graduate Center, New York, NY 10036
drindsko@email.gc.cuny.edu
Abstract
Unfortunately, reading Chow's work is likely to leave
the reader more confused than enlightened. My preferred solutions
to the “controversy” about null- hypothesis testing are:
(1) recognize that we really want to test the hypothesis that an
effect is “small,” not null, and (2) use Bayesian methods,
which are much more in keeping with the way humans naturally think
than are classical statistical methods.
