Resources

Recent controversies have questioned the quality of scientific practice in the field of psychology, but these concerns are often based on anecdotes and seemingly isolated cases. To gain a broader perspective, this article applies an objective test …

Data-dependent analysis—a “garden of forking paths”— explains why many statistically significant comparisons don't hold up.

A syllabi used for general linear model

Survey experiments have become a central methodology across the social sciences. Researchers can combine experiments’ causal power with the generalizability of population-based samples. Yet, due to the expense of population-based samples, much …

The GO FAIR Foundation's FAIR Capacity Building Programme provides professional and qualified training for data stewards who aspire to use methods developed under the Three-Point FAIRificaiton Framework (3PFF) in their daily work to make data and …

We present a simple mathematical technique that we call granularity-related inconsistency of means (GRIM) for verifying the summary statistics of research reports in psychology. This technique evaluates whether the reported means of integer data such …

Blogposts about psychology, reproducibility, replication etc.

Three historical episodes in which the application of null hypothesis significance testing (NHST) led to the mis-interpretation of data are described. It is argued that the pervasive use of this statistical ritual impedes the accumulation of …

From January 2014, Psychological Science introduced new submission guidelines that encouraged the use of effect sizes, estimation, and meta-analysis (the “new statistics”), required extra detail of methods, and offered badges for use of open science …

It is acknowledged that conducting open research requires additional time and effort compared to conducting ‘closed’ research. However, this additional work is often discussed only in abstract terms, a discourse which ignores the practicalities of …