A worrying number of psychological findings are not replicable. Diagnoses of the causes of
this “replication crisis,” and recommendations to address it, have nearly exclusively focused …

Factorial experiments in research on memory, language, and in other areas are often
analyzed using analysis of variance (ANOVA). However, for effects with more than one …

Scientists often adjust their significance threshold (alpha level) during null hypothesis
significance testing in order to take into account multiple testing and multiple comparisons …

Progress in science relies in part on generating hypotheses with existing observations and
testing hypotheses with new observations. This distinction between postdiction and …

Bayesian parameter estimation and Bayesian hypothesis testing present attractive
alternatives to classical inference using confidence intervals and p values. In part I of this …

Improving the reliability and efficiency of scientific research will increase the credibility of the
published scientific literature and accelerate discovery. Here we argue for the adoption of …

Linear mixed-effects models have increasingly replaced mixed-model analyses of variance
for statistical inference in factorial psycholinguistic experiments. Although LMMs have many …

The designing, collecting, analyzing, and reporting of psychological studies entail many
choices that are often arbitrary. The opportunistic use of these so-called researcher degrees …

In many research fields, the widespread use of questionable research practices has
jeopardized the credibility of scientific results. One of the most prominent questionable …

Recently there has been a growing concern that many published research findings do not
hold up in attempts to replicate them. We argue that this problem may originate from a …