As predicted : preventing p-hacking : open science monitor case study

The scientific community have started to foster research practices that seek to overcome p-hacking. One of such practices includes the preregistration of studies, which seeks to reduce the publication bias for statistically significant results. Preregistration makes researchers commit to analytical steps without knowing a priori the research outcomes. It affords distinguishing between hypothesis generation and testing, and it preserves accuracy in the calibration and assessment of the evidence. In the last years, we have witnessed a proliferation of different independent registries. The present case study provides an overview of one of such registries: As Predicted, which was launched by the Credibility Lab of Wharton University of Pennsylvania in December 2015.