Resumen
When studies examine true effects, they generate right-skewed p-curves, distributions of statistically significant results ith more low (.01 s) than high (.04 s) p values. What else can cause a right-skewed p-curve? First, we consider the possibility hat researchers report only the smallest significant p value (as conjectured by Ulrich & Miller, 2015), concluding that it is a ery uncommon problem. We then consider more common problems, including (a) p-curvers selecting the wrong p values, (b) fake data, c) honest errors, and (d) ambitiously p-hacked (beyond p = .05) results. We evaluate the impact of these common problems on the alidity of p-curve analysis, and provide practical solutions that substantially increase its robustness.
Idioma original | Inglés |
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Páginas (desde-hasta) | 1146-1152 |
Número de páginas | 7 |
Publicación | Journal of Experimental Psychology: General |
Volumen | 144 |
N.º | 6 |
DOI | |
Estado | Publicada - 1 dic 2015 |
Publicado de forma externa | Sí |