Comment: What p -hacking really looks like: A comment on Masicampo and LaLande (2012)

Kühberger A. , Fritz A. , & Scherndl T. (2014). Publication bias in psychology: A diagnosis based on the correlation between effect size and sample size. PLoS ONE, 9(9), e105825. doi:10.1371/journal.pone.0105825

Leggett N. C. , Thomas N. A. , Loetscher T. , & Nicholls M. E. (2013). The life of p: “Just significant” results are on the rise. The Quarterly Journal of Experimental Psychology, 66, 2303–2309. doi:10.1080/17470218.2013.863371

Masicampo E. J. , & Lalande D. R. (2012). A peculiar prevalence of p-values just below. 05. The Quarterly Journal of Experimental Psychology, 65, 2271–2279. doi:10.1080/17470218.2012.711335

Nosek B. A. , & Lakens D. (2014). Registered reports: A method to increase the credibility of published results. Social Psychology, 45, 137–141. doi:10.1027/1864-9335/a000192

Sellke T. , Bayarri M. J. , & Berger J. O. (2001). Calibration of p-values for testing precise null hypotheses. The American Statistician, 55, 62–71.

Simonsohn U. , Nelson L. D. , & Simmons J. P. (2014). P-curve: A key to the file-drawer. Journal of Experimental Psychology: General, 143, 534–547. doi:10.1037/a0033242