P-Curve Analyses: Finding out which Social Priming Effects are Likely to be True
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Professors are Not Elderly: Evaluating the Evidential Value of Two Social Priming Effects Through P-Curve Analyses By Daniel Lakens Abstract : It is possible that the number of false positives in the literature is much greater than is desirable due to a combination of low statistical power , publication bias , and flexibility when analyzing data. Recently, some researchers have argued t he replicability crisis social priming research is greatly exaggerated ( Dijksterhuis, 2014 ; Stroebe & Strack, 2014). To quantify the extent to which researcher degrees of freedom are a real problem, I present two p-curve analyses that examine the evidential value of research lines on professor priming and elderly priming. The results indicate studies examining elderly priming are p-hacked , while studies examining professor priming contain evidential value. I believe a polarized discussion about whether social priming is true or not, whether direct replications or conceptual replicat