Robust Modeling in Cognitive Science

By Michael D. Lee, Amy H. Criss, Berna Devezer, C. Donkin, Alexander Etz, Fabio Leite, D. Matzke, Jeffrey N. Rouder, Jennifer S. Trueblood, C. White and 1 more. Computational Brain & Behavior, 2019

92 citations recorded by the source corpus.

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.

Subfields: Artificial Intelligence, Cognitive Neuroscience, Experimental and Cognitive Psychology

View Paper: https://www.semanticscholar.org/paper/02363b28be2dc23d9d34afabc5e5008b12b0a7bb

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Citations in the corpus

Ten simple rules for the computational modeling of behavioral data (2019, methodology): “For this reason, we focus primarily on the simplest modeling techniques most accessible to beginning modelers, but almost all of our points apply more generally and readers interested in more advanced modeling techniques should consult the many excellent tutorials, didactic examples, and books on th”
Bayesian Workflow (2020, background): “…and algorithmic, and this has placed workflow at the center of statistical practice (see, for example, Grolemund and Wickham, 2017, Bryan, 2017, and Yu and Kumbier, 2020), as well as in application areas (for example, Lee et al., 2019, discuss modeling workflow in psychology research).”