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An Assessment of Open Science Research Practices in Psychology: Lots of Talk But…
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[Excerpts taken from the article, “Estimating the prevalence of transparency and reproducibility-related research practices in psychology (2014-2017)”, by Hardwicke, et al., posted at MetaArXiv Preprints] “…we manually examined a random sample of 250 articles to estimate the prevalence of several…
Read MoreWhat Do Replications Tell Us About the Reliability of Meta-Analyses? Evidence from Psychology
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[Excerpts taken from the article “Comparing meta-analyses and preregistered multiple-laboratory replication projects” by Amanda Kvarven, Eirik Strømland, and Magnus Johannesson, published in Nature Human Behaviour] “In the past 30 years, the number of meta-analyses published across scientific fields has been…
Read MoreCategory: NEWS & EVENTS Tags: Effect size, Meta-analyses, Multi-lab replications, Psychology, publication bias, replication
Bad News and Good News for Meta-Analyses in Economics
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[Excerpts taken from the working paper “Practical Significance, Meta-Analysis and the Credibility of Economics” by Tom Stanley and Chris Doucouliagos, posted at SSRN] “…we find that large biases and high rates of false positives will often be found by conventional meta-analysis methods….
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Andrew Gelman BITSS Brian Nosek Center for Open Science Data sharing economics Journal policies Nature journal null hypothesis significance testing Open Science p-hacking p-values Pre-registration Psychology publication bias replication replication crisis replications Reproducibility TransparencyBlogroll
Recent Posts
- REED: More on Self-Correcting Science and Replications: A Critical Review
- FEATURED RESEARCH: 2 Recent Papers on the Role of the Media in Reproducibility
- REED: Is Science Self-Correcting? Evidence from 5 Recent Papers on the Effect of Replications on Citations
- FEATURED RESEARCH (“Reassessing the Effects of a Communication-and-Resolution Program on Hospitals’ Malpractice Claims and Costs”) – Another Example of a Journal Behaving Badly
- MULTI100: Estimating the Analytical Robustness of the Social Sciences – Final Call for Collaborating Analysts
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