Skip to main content

Research Repository

Advanced Search

Type I Error Rates Are Not Usually Inflated

Rubin, Mark

Type I Error Rates Are Not Usually Inflated Thumbnail


Authors



Abstract

The inflation of Type I error rates is thought to be one of the causes of the replication crisis. Questionable research practices such as p-hacking are thought to inflate Type I error rates above their nominal level, leading to unexpectedly high levels of false positives in the literature and, consequently, unexpectedly low replication rates. In this article, I offer an alternative view. I argue that questionable and other research practices do not usually inflate relevant Type I error rates. I begin with an introduction to Type I error rates that distinguishes them from theoretical errors. I then illustrate my argument with respect to model misspecification, multiple testing, selective inference, forking paths, exploratory analyses, p-hacking, optional stopping, double dipping, and HARKing. In each case, I demonstrate that relevant Type I error rates are not usually inflated above their nominal level, and in the rare cases that they are, the inflation is easily identified and resolved. I conclude that the replication crisis may be explained, at least in part, by researchers’ misinterpretation of statistical errors and their underestimation of theoretical errors.

Citation

Rubin, M. (2024). Type I Error Rates Are Not Usually Inflated. Journal of trial and error, 4(2), https://doi.org/10.36850/4d35-44bd

Journal Article Type Article
Acceptance Date May 11, 2024
Online Publication Date Nov 16, 2024
Publication Date Nov 16, 2024
Deposit Date Dec 11, 2023
Publicly Available Date Jan 4, 2024
Journal Journal of trial and error
Electronic ISSN 2667-1204
Peer Reviewed Peer Reviewed
Volume 4
Issue 2
DOI https://doi.org/10.36850/4d35-44bd
Keywords exploratory analyses; false positives; forking paths; HARKing; model misspecification; multiple comparisons; multiple testing; optional stopping; p-hacking; questionable research practices; replication crisis; selective inference; significance testing; statistical inference; Type I error inflation; Type I error rate inflation; Type I error rates
Public URL https://durham-repository.worktribe.com/output/2022429

Files





You might also like



Downloadable Citations