[From the abstract to the article, “Quantifying Support for the Null Hypothesis in Psychology: An Empirical Investigation” by Aczel et al., recently published in Advances in Methods and Practices in Psychological Science] “In the traditional statistical framework, nonsignificant results leave researchers…
Read MoreThere is considerable concern among scholars that empirical papers face a drastically smaller chance of being published if the results looking to confirm an established theory turn out to be statistically insignificant. Such a publication bias can provide a wrong…
Read MoreThe journal FinanzArchiv / Public Finance Analysis put out the following call for a special issue: “There is considerable concern among scholars that empirical papers are facing a drastically smaller chance of being published if the results looking to confirm an…
Read MoreIt is well known that there is a bias towards publication of statistically significant results. In fact, we have known this for at least 25 years since the publication of De Long and Lang (JPE 1992): “Economics articles are sprinkled…
Read MoreFROM 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,…
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