Preprint has been published in a journal as an article
DOI of the published article 10.1007/s40279-019-01249-9
Preprint / Version 1

On the Statistical Properties of the Dankel-Loenneke Method

##article.authors##

  • Matthew S. Tenan
  • Andrew D. Vigotsky
  • Aaron R. Caldwell

DOI:

https://doi.org/10.31236/osf.io/8ndhg

Keywords:

statistics

Abstract

Dankel & Loenneke (2019) recently presented a new approach to identifying subgroups in parallel group study designs. Here, we briefly discuss our statistical concerns with proposed approach. We reveal that the error rates of the Danke-Loenneke approach are much higher than the claimed 5%, and that these error rates are dependent on numerous factors, including sample size, effect variance, and random error. The Dankel-Loenneke method has poor statistical properties; as such, we suggest that the method not be used and the manuscript constitutes an "honest error" per the Committee on Publication Ethics (COPE) guidelines.

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Posted

2019-09-30