The Replication Network
Furthering the Practice of Replication in Economics
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Maybe There is Only a Replication Crisis for Published Research
[From an article in the Washington Post entitled “Does social science have a replication crisis?”] This article consists of an interview with Kevin Mullinix, Thomas Leeper, and Alex Cox. The article highlights their recent research which reports a high rate…
Read MoreConcerned about publication bias? Use a critical t-value of 3
A new paper by GARRET CHRISTENSEN, JUSTIN MCCRAY and DANIELE FANELLI in PLOS ONE suggests an alternative to using conventional t-values when researchers are concerned about publication bias. From the Abstract: “Publication bias leads consumers of research to observe a selected sample…
Read MoreMICHELE NUIJTEN: The Replication Paradox
Lately, there has been a lot of attention for the excess of false positive and exaggerated findings in the published scientific literature. In many different fields there are reports of an impossibly high rate of statistically significant findings, and studies…
Read MoreREBLOG: Evidence of Publication Bias and Misreported p-Values
FROM THE BLOG POLITICAL SCIENCE REPLICATION: “A new article by researchers at the University of Amsterdam shows that publication bias towards statistically significant results may cause p-value misreporting. The team examined hundreds of published articles and found that authors had…
Read MoreWe Have Met the Enemy, and He is Us
FROM THE ARTICLE: “We studied publication bias in the social sciences by analyzing a known population of conducted studies—221 in total—in which there is a full accounting of what is published and unpublished. … Strong results are 40 percentage points more…
Read MoreA Call for a Journal of Insignificant Results?
FROM THE ARTICLE: “Negative results are an important building block in the development of scientific thought, primarily because most likely the vast majority of data is negative, i.e., there is not a favorable outcome. Only very limited data is positive,…
Read MoreReblog from Retraction Watch: Replication May Cause More Harm than Good
FROM THE ARTICLE: “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 system replications may increase bias in effect size estimates.” To read…
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