Breaking the circularity in circular analyses: Simulations and formal treatment of the flattened average approach.

ABSTRACT: There has been considerable debate and concern as to whether there is a replication crisis in the scientific literature. A likely cause of poor replication is the multiple comparisons problem. An important way in which this problem can manifest in the M/EEG context is through post hoc tailoring of analysis windows (a.k.a. regions-of-interest, ROIs) to landmarks in the collected data. Post hoc tailoring of ROIs is used because it allows researchers to adapt to inter-experiment variability and discover novel differences that fall outside of windows defined by prior precedent, thereby reducing Type II errors. However, this approach can dramatically inflate Type I error rates. One way to avoid this problem is to tailor windows according to a contrast that is orthogonal (strictly parametrically

SUBMITTER: Bowman H 

PROVIDER: S-EPMC7721178 | biostudies-literature | 2020 Nov

REPOSITORIES: biostudies-literature