Article
Version 1
Preserved in Portico This version is not peer-reviewed
Cognitive Modeling in Intelligence Research: Advantages and Recommendations for their Application
Version 1
: Received: 21 April 2018 / Approved: 23 April 2018 / Online: 23 April 2018 (11:18:23 CEST)
A peer-reviewed article of this Preprint also exists.
Frischkorn, G.T.; Schubert, A.-L. Cognitive Models in Intelligence Research: Advantages and Recommendations for Their Application. J. Intell. 2018, 6, 34. Frischkorn, G.T.; Schubert, A.-L. Cognitive Models in Intelligence Research: Advantages and Recommendations for Their Application. J. Intell. 2018, 6, 34.
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 process that may help 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.
Keywords
intelligence; cognitive modeling; methods; measurement; practical guidelines
Subject
Social Sciences, Cognitive Science
Copyright: This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Comments (0)
We encourage comments and feedback from a broad range of readers. See criteria for comments and our Diversity statement.
Leave a public commentSend a private comment to the author(s)
* All users must log in before leaving a comment