Replication—an important, uncommon, and misunderstood practice—is gaining
appreciation in psychology. Achieving replicability is important for making research …

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 …

Doing Meta-Analysis with R: A Hands-On Guide serves as an accessible introduction on
how meta-analyses can be conducted in R. Essential steps for meta-analysis are covered …

Data analysis workflows in many scientific domains have become increasingly complex and
flexible. Here we assess the effect of this flexibility on the results of functional magnetic …

The widespread use of digital technologies by young people has spurred speculation that
their regular use negatively impacts psychological well-being. Current empirical evidence …

Statistics for Linguists: An Introduction Using R is the first statistics textbook on linear models
for linguistics. The book covers simple uses of linear models through generalized models to …

In this article, we define questionable measurement practices (QMPs) as decisions
researchers make that raise doubts about the validity of the measures, and ultimately the …

Psychology endeavors to develop theories of human capacities and behaviors on the basis
of a variety of methodologies and dependent measures. We argue that one of the most …

When data are not normally distributed, researchers are often uncertain whether it is
legitimate to use tests that assume Gaussian errors, or whether one has to either model a …

Preregistration clarifies the distinction between planned and unplanned research by
reducing unnoticed flexibility. This improves credibility of findings and calibration of …