Publication bias is a substantial problem for the credibility of research in general and of meta-analyses
in particular, as it yields overestimated effects and may suggest the existence of …

We examined the evidence for heterogeneity (of effect sizes) when only minor changes to
sample population and settings were made between studies and explored the association …

This study documents reporting errors in a sample of over 250,000 p-values reported in
eight major psychology journals from 1985 until 2013, using the new R package “statcheck.” …

Publication bias threatens the validity of meta-analytic results and leads to overestimation of
the effect size in traditional meta-analysis. This particularly applies to meta-analyses that …

Because of overwhelming evidence of publication bias in psychology, techniques to correct
meta-analytic estimates for such bias are greatly needed. The methodology on which the p-…

Using Coleman’s well-known scheme as an anchor, we review key features of explanations
of social phenomena that employ micro-macro models. Some antecedents of micro-macro …

Background De Winter and Happee [1] examined whether science based on selective
publishing of significant results may be effective in accurate estimation of population effects, and …

Publication bias is a major threat to the validity of a meta-analysis resulting in overestimated
effect sizes. We propose an extension and improvement of the publication bias method p-…

Previous studies provided mixed findings on pecularities in p-value distributions in psychology.
This paper examined 258,050 test results across 30,710 articles from eight high impact …

Replication is often viewed as the demarcation between science and nonscience. However,
contrary to the commonly held view, we show that in the current (selective) publication …