Abstract

https://ssrn.com/abstract=2374040
 


 



Posterior-Hacking: Selective Reporting Invalidates Bayesian Results Also


Uri Simonsohn


University of Pennsylvania - The Wharton School

January 2, 2014


Abstract:     
Many believe that Bayesian statistics are robust to p-hacking. Many are wrong. In this paper I show with simulations and actual data that the two Bayesian approaches that have been proposed within Psychology, Bayesian inference and Bayes factors, are as invalidated by selective reporting as p-values are. Going Bayesian may offer some benefits, providing a solution to selective reporting is not one of them. Required disclosure is the only solution.

Number of Pages in PDF File: 10

Keywords: p-hacking, publication bias, selective reporting, Bayesian, chronological rejuvenation


Open PDF in Browser Download This Paper

Date posted: January 3, 2014  

Suggested Citation

Simonsohn, Uri, Posterior-Hacking: Selective Reporting Invalidates Bayesian Results Also (January 2, 2014). Available at SSRN: https://ssrn.com/abstract=2374040 or http://dx.doi.org/10.2139/ssrn.2374040

Contact Information

Uri Simonsohn (Contact Author)
University of Pennsylvania - The Wharton School ( email )
3730 Walnut Street
JMHH 500
Philadelphia, PA 19104-6365
United States

Feedback to SSRN


Paper statistics
Abstract Views: 2,702
Downloads: 710
Download Rank: 25,619