Against the “one method fits all data sets” philosophy for comparison studies in methodological research

12Citations
Citations of this article
15Readers
Mendeley users who have this article in their library.

This article is free to access.

Abstract

Many methodological comparison studies aim at identifying a single or a few “best performing” methods over a certain range of data sets. In this paper we take a different viewpoint by asking whether the research question of identifying the best performing method is what we should be striving for in the first place. We will argue that this research question implies assumptions which we do not consider warranted in methodological research, that a different research question would be more informative, and how this research question can be fruitfully investigated.

Cite

CITATION STYLE

APA

Strobl, C., & Leisch, F. (2024, January 1). Against the “one method fits all data sets” philosophy for comparison studies in methodological research. Biometrical Journal. John Wiley and Sons Inc. https://doi.org/10.1002/bimj.202200104

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free