Robust modeling in cognitive science

Open Access
Authors
  • M.D. Lee
  • A.H. Criss
  • B. Devezer
  • C. Donkin
  • A. Etz
  • F.P. Leite
  • D. Matzke
  • J.N. Rouder
  • J.S. Trueblood
  • C.N. White
  • J. Vandekerckhove
Publication date 12-2019
Journal Computational Brain & Behavior
Volume | Issue number 2 | 3-4
Pages (from-to) 141-153
Number of pages 13
Organisations
  • Faculty of Social and Behavioural Sciences (FMG) - Psychology Research Institute (PsyRes)
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.
Document type Article
Language English
Related publication Robust Diversity in Cognitive Science
Published at https://doi.org/10.1007/s42113-019-00029-y
Downloads
Permalink to this page
Back