[Excerpts taken from the preprint, “Preregistration is redundant, at best” by Aba Szollosi et al., posted at PsyArXiv Preprints] “The key implication argued by proponents of preregistration is that it improves the diagnosticity of statistical tests…In the strong version of…

Read MoreLike many others, I was aware that there was controversy over null-hypothesis statistical testing. Nevertheless, I was shocked to learn that leading figures in the American Statistical Association (ASA) recently called for abolishing the term “statistical significance”. In an editorial…

Read MoreThis blog is based on the homonymous paper by Norbert Hirschauer, Sven Grüner, Oliver Mußhoff, and Claudia Becker in the Journal of Economics and Statistics. It is motivated by prevalent inferential errors and the intensifying debate on p-values – as…

Read More[From the blog ““Abandon / Retire Statistical Significance”: Your chance to sign a petition!” by Andrew Gelman, posted at StatsBlogs] “Valentin Amrhein, Sander Greenland, and Blake McShane write:” “We have a forthcoming comment in Nature arguing that it is time…

Read More[From the working paper, “Multiple Perspectives on Inference for Two Simple Statistical Scenarios” by van Dongen et al., posted at PsyArXiv Preprints] “When analyzing a specific data set, statisticians usually operate within the confines of their preferred inferential paradigm. For…

Read More[From the paper, “Practical Tools and Strategies for Researchers to Increase Replicability” by Michele Nuijten, forthcoming in Developmental Medicine & Child Neurology] “Several large-scale problems are affecting the validity and reproducibility of scientific research. … Many of the suggested solutions are…

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