Previous surveys of the literature have shown that reports of statistical analyses often lack
important information, causing lack of transparency and failure of reproducibility. Editors and …

Analysis of variance (ANOVA) is the standard procedure for statistical inference in factorial
designs. Typically, ANOVAs are executed using frequentist statistics, where p-values …

Online misinformation continues to have adverse consequences for society. Inoculation
theory has been put forward as a way to reduce susceptibility to misinformation by informing …

Graphical displays can reveal problems in a statistical model that might not be apparent from
purely numerical summaries. Such visualizations can also be helpful for the reader to …

Misinformation about the novel coronavirus (COVID-19) is a pressing societal challenge.
Across two studies, one preregistered (n1= 1771 and n2= 1777), we assess the efficacy of …

As part of the Systematizing Confidence in Open Research and Evidence (SCORE)
program, the present study consisted of a two-stage replication test of a central finding by …

The use of low sub-perceptual doses of psychedelics (“microdosing”) has gained popularity
in recent years. Although anecdotal reports claim multiple benefits associated with this …

Many statistical scenarios initially involve several candidate models that describe the data-
generating process. Analysis often proceeds by first selecting the best model according to …

Background Although null hypothesis significance testing (NHST) is the agreed gold
standard in medical decision making and the most widespread inferential framework used in …

There is widespread concern that rising affective polarization—particularly dislike for
outpartisans—exacerbates Americans' anti-democratic attitudes. Accordingly, scholars and …