Speaker: Lester Lusher
Affiliation: University of Hawaii
Online via Zoom: https://uqz.zoom.us/j/83265075806
Abstract
We use unique data from journal submissions to identify and unpack publication bias and p-hacking. We find that initial submissions display significant bunching, suggesting the distribution among published statistics cannot be fully attributed to a publication bias in peer review. Desk-rejected manuscripts display greater heaping than those sent for review, suggesting editors "sniff out” marginally significant results. Reviewer recommendations, in contrast, are swayed by statistical thresholds. The overall effect of peer review slightly smooths the distribution of test statistics. Lastly, we track rejected papers and present evidence that the prevalence of publication biases is perhaps not as prominent as feared.
About the presenter's meeting
If you would like to meet with Dr Lusher contact: Dr Andrea La Nauze
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