Resources

Open access, open data, open source and other open scholarship practices are growing in popularity and necessity. However, widespread adoption of these practices has not yet been achieved. One reason is that researchers are uncertain about how …

Widespread sharing of data and materials (including displays and text- and video-based descriptions of experimental procedures) will improve the reproducibility of psychological science and accelerate the pace of discovery. In this article, we …

Social scientists should adopt higher transparency standards to improve the quality and credibility of research.

The field of replication studies remains a controversial, misunderstood, and unappreciated piñata of 18 replication typologies spanning 79 replication types. To help bring order to the chaos, I contribute a theory of manufactured inferences. The …

A paper about ten Simple Rules for the Care and Feeding of Scientific Data

Reproducibility is the cornerstone of science. If an effect is reliable, any competent researcher should be able to obtain it when using the same procedures with adequate statistical power. Two of the articles in this special section question the …

Survey sheds light on the ‘crisis’ rocking research.

Monte-Carlo simulation was used to model the biasing of effect sizes in published studies. The findings from the simulation indicate that, when a predominant bias to publish studies with statistically significant results is coupled with inadequate …

This study compiles information from more than 250 meta-analyses conducted over the past 30 years to assess the magnitude of reported effect sizes in the organizational behavior (OB)/human resources (HR) literatures. Our analysis revealed an average …

Sample correlations converge to the population value with increasing sample size, but the estimates are often inaccurate in small samples. In this report we use Monte-Carlo simulations to determine the critical sample size from which on the magnitude …