p-Curve and Effect Size

By Uri Simonsohn, Leif D. Nelson, Joseph P. Simmons. Perspectives on Psychological Science, 2014

493 citations recorded by the source corpus.

Subfields: Economics and Econometrics, Statistics and Probability

View Paper: https://www.semanticscholar.org/paper/cd23b622891d7403bb9655c853c609b5a50e6e73

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Citations in the corpus

Editorial: Enhancing quantitative theory-testing entrepreneurship research (2019, background): “The null hypothesis framework is remarkably flexible and easy to use in most research settings, including in entrepreneurship research (Simonsohn et al., 2014).”
When and why defaults influence decisions: a meta-analysis of default effects (2019, background): “We next estimate the extent of publication bias in the published defaults literature (see also Duval & Tweedie, 2000; Carter & McCullough, 2014; Franco https://doi.org/10.1017/bpp.2018.43 Published online by Cambridge University Press et al., 2014; Simonsohn et al., 2014; Dang, 2016).”
Indices of Effect Existence and Significance in the Bayesian Framework (2019, background): “It is interesting to note that this perspective unites significance testing with the focus on effect size (involving a discrete separation between at least two categories: negligible and non-negligible), which finds an echo in recent statistical recommendations (Ellis and Steyn, 2003; Sullivan and F”
Crowdsourcing Consumer Research (2017, background): “Issues such as selective reporting, file drawer, and preregistration have been recently receiving the attention they deserve (Moore 2016; Simonsohn, Nelson, and Simmons 2014; Van’t Veer and Giner-Sorolla 2016; Wagenmakers et al. 2012).”
Degrees of Freedom in Planning, Running, Analyzing, and Reporting Psychological Studies: A Checklist to Avoid p-Hacking (2016, background): “Most of the researcher DFs have been described in previous publications (Kriegeskorte et al., 2009; Nieuwenhuis et al., 2011; Simmons et al., 2011; Wagenmakers et al., 2011; Bakker et al., 2012; John et al., 2012; Chambers, 2013; Francis, 2013; Bakker and Wicherts, 2014; Simonsohn et al., 2014; Stee”
Correcting for Bias in Psychology: A Comparison of Meta-Analytic Methods (2019, methodology): “A p-curve is the distribution of all statistically significant p-values from the set of studies of interest (i.e., ps < 0.05; Simonsohn et al., 2014).”