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Cognitive Models in Intelligence Research: Advantages and Recommendations for Their Application

Institute of Psychology, Heidelberg University, Hauptstrasse 47-51, D-69117 Heidelberg, Germany
Both authors contributed equally to this work.
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Received: 21 April 2018 / Revised: 9 July 2018 / Accepted: 9 July 2018 / Published: 17 July 2018
(This article belongs to the Special Issue Cognitive Models in Intelligence Research)
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Abstract

Mathematical models of cognition measure individual differences in cognitive processes, such as processing speed, working memory capacity, and executive functions, that may underlie general intelligence. As such, cognitive models allow identifying associations between specific cognitive processes and tracking the effect of experimental interventions aimed at the enhancement of intelligence on mediating process parameters. Moreover, cognitive models provide an explicit theoretical formalization of theories regarding specific cognitive processes that may help in overcoming ambiguities in the interpretation of fuzzy verbal theories. In this paper, we give an overview of the advantages of cognitive modeling in intelligence research and present models in the domains of processing speed, working memory, and selective attention that may be of particular interest for intelligence research. Moreover, we provide guidelines for the application of cognitive models in intelligence research, including data collection, the evaluation of model fit, and statistical analyses. View Full-Text
Keywords: intelligence; cognitive modeling; methods; measurement; practical guidelines intelligence; cognitive modeling; methods; measurement; practical guidelines
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Frischkorn, G.T.; Schubert, A.-L. Cognitive Models in Intelligence Research: Advantages and Recommendations for Their Application. J. Intell. 2018, 6, 34.

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