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 …
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 …
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 …
A central goal of translational neuroimaging is to establish robust links between brain measures and clinical outcomes. Success hinges on the development of brain biomarkers with large effect sizes. With large enough effects, a measure may be …
Individual differences researchers very commonly report Pearson correlations between their variables of interest. Cohen (1988) provided guidelines for the purposes of interpreting the magnitude of a correlation, as well as estimating power. …