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Inferential statistics as descriptive statistics: there is no replication crisis if we don't expect replication [PDF]
The American Statistician, 2018 Statistical inference often fails to replicate. One reason is that many results may be selected for drawing inference because some threshold of a statistic like the P-value was crossed, leading to biased reported effect sizes. Nonetheless, considerable non-replication is to be expected even without selective reporting, and generalizations from single ...
Valentin Amrhein +2 more
semanticscholar +6 more sources
Estimating Effect Sizes and Expected Replication Probabilities from GWAS Summary Statistics [PDF]
Frontiers in Genetics, 2016 Genome-wide Association Studies (GWAS) result in millions of summary statistics (``z-scores'') for single nucleotide polymorphism (SNP) associations with phenotypes.
Dominic eHolland +21 more
doaj +7 more sources
Do group ensemble statistics bias visual working memory for individual items? A registered replication of Brady and Alvarez (2011) [PDF]
Attention, perception & psychophysics, 2020 We performed a registered and precise replication of Experiment 1 reported in Brady and Alvarez ( Psychological Science , 22 , 384–392, 2011 ). The original experiment found that participants, who were asked to memorize the size of differently colored ...
Frank Papenmeier, J. David Timm
openalex +2 more sources
Methodology, 2019 Abstract. The concept of replication is fundamental to the logic and rhetoric of science, including the argument that science is self-correcting. Yet there is very little literature on the methodology of replication. In this article, I argue that the definition of replication should not require underlying effects to be identical, but should permit ...
L. Hedges
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Economics: Journal Articles, 2020 The authors replicate and extend the Monte Carlo experiment presented in Doz, Giannone and Reichlin (A Quasi-Maximum Likelihood Approach For Large, Approximate Dynamic Factor Models, Review of Economics and Statistics, 2012) on alternative (time-domain ...
Lucchetti Riccardo, Venetis Ioannis A.
doaj +3 more sources
Statistical Inference and the Replication Crisis [PDF]
Review of Philosophy and Psychology, 2018 AbstractThe replication crisis has prompted many to call for statistical reform within the psychological sciences. Here we examine issues within Frequentist statistics that may have led to the replication crisis, and we examine the alternative—Bayesian statistics—that many have suggested as a replacement.
Lincoln J. Colling, Dénes Szűcs
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Improving transparency and replication in Bayesian statistics: The WAMBS-Checklist.
Psychological Methods, 2017 Bayesian statistical methods are slowly creeping into all fields of science and are becoming ever more popular in applied research. Although it is very attractive to use Bayesian statistics, our personal experience has led us to believe that naively applying Bayesian methods can be dangerous for at least 3 main reasons: the potential influence of ...
Depaoli, Sarah, van de Schoot, Rens
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New statistical metrics for multisite replication projects [PDF]
Journal of the Royal Statistical Society Series A: Statistics in Society, 2017 Increasingly, researchers are attempting to replicate published original studies using large, multisite replication projects, at least 134 of which are completed or ongoing. These designs are promising to assess whether the original study is statistically consistent with the replications and to re-assess the strength of evidence for the scientific ...
Maya B Mathur, Tyler VanderWeele
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Statistics in Service of Metascience: Measuring Replication Distance with Reproducibility Rate [PDF]
EntropyMotivated by the recent putative reproducibility crisis, we discuss the relationship between the replicability of scientific studies, the reproducibility of results obtained in these replications, and the philosophy of statistics. Our approach focuses on
Erkan O. Buzbas, Berna Devezer
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Better statistics for better decisions: Rejecting null hypotheses statistical tests in favor of replication statistics [PDF]
Psychology in the Schools, 2007 AbstractDespite being under challenge for the past 50 years, null hypothesis significance testing (NHST) remains dominant in the scientific field for want of viable alternatives. NHST, along with its significance level p, is inadequate for most of the uses to which it is put, a flaw that is of particular interest to educational practitioners who too ...
Federico, Sanabria, Peter R, Killeen
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