Resources

 

We have an amazing team who curated many resources for the community.

The Peer Reviewers’ Openness Initiative: incentivizing open research practices through peer review.

Openness is one of the central values of science. Open scientific practices such as sharing data, materials and analysis scripts alongside published articles have many benefits, including easier replication and extension studies, increased …

Using prediction markets to estimate the reproducibility of scientific research

Concerns about a lack of reproducibility of statistically significant results have recently been raised in many fields, and it has been argued that this lack comes at substantial economic costs. We here report the results from prediction markets set …

Better P-curves: Making P-curve Analysis More Robust to Errors, Fraud, and Ambitious P-hacking, a Reply to Ulrich and Miller (2015)

When studies examine true effects, they generate right-skewed p-curves, distributions of statistically significant results with more low (.01 s) than high (.04 s) p values. What else can cause a right-skewed p-curve? First, we consider the …

Big Correlations in Little Studies: Inflated fMRI Correlations Reflect Low Statistical Power-Commentary on Vul Et Al. (2009)

Vul, Harris, Winkielman, and Pashler (2009), (this issue) argue that correlations in many cognitive neuroscience studies are grossly inflated due to a widespread tendency to use nonindependent analyses. In this article, I argue that Vul et al.'s …

Chaos in the brickyard

A paper about open science and novelty

Conservative tests under satisficing models of publication bias.

Publication bias leads consumers of research to observe a selected sample of statistical estimates calculated by producers of research. We calculate critical values for statistical significance that could help to adjust after the fact for the …

Correcting for Bias in Psychology: A Comparison of Meta-Analytic Methods

Publication bias and questionable research practices in primary research can lead to badly overestimated effects in meta-analysis. Methodologists have proposed a variety of statistical approaches to correct for such overestimation. However, it is not …

Defining and distinguishing validity: Interpretations of score meaning and justifications of test use.

The concept of validity has suffered because the term has been used to refer to 2 incompatible concerns: the degree of support for specified interpretations of test scores (i.e., intended score meaning) and the degree of support for specified …

Hail the impossible: p-values, evidence, and likelihood.

Significance testing based on p-values is standard in psychological research and teaching. Typically, research articles and textbooks present and use p as a measure of statistical evidence against the null hypothesis (the Fisherian interpretation), …

HARKing: How Badly Can Cherry-Picking and Question Trolling Produce Bias in Published Results?

The practice of hypothesizing after results are known (HARKing) has been identified as a potential threat to the credibility of research results. We conducted simulations using input values based on comprehensive meta-analyses and reviews in applied …
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