Robust Modeling in Cognitive Science

87Citations
Citations of this article
148Readers
Mendeley users who have this article in their library.
Get full text

Abstract

In an attempt to increase the reliability of empirical findings, psychological scientists have recently proposed a number of changes in the practice of experimental psychology. Most current reform efforts have focused on the analysis of data and the reporting of findings for empirical studies. However, a large contingent of psychologists build models that explain psychological processes and test psychological theories using formal psychological models. Some, but not all, recommendations borne out of the broader reform movement bear upon the practice of behavioral or cognitive modeling. In this article, we consider which aspects of the current reform movement are relevant to psychological modelers, and we propose a number of techniques and practices aimed at making psychological modeling more transparent, trusted, and robust.

Cite

CITATION STYLE

APA

Lee, M. D., Criss, A. H., Devezer, B., Donkin, C., Etz, A., Leite, F. P., … Vandekerckhove, J. (2019). Robust Modeling in Cognitive Science. Computational Brain and Behavior, 2(3–4), 141–153. https://doi.org/10.1007/s42113-019-00029-y

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