Multi-method validation of the new computerized test of fluid intelligence MatriKS.

de Chiusole, Debora, Epifania, Ottavia M., Anselmi, Pasquale, Brancaccio, Andrea, Mazzoni, Noemi, Spinoso, Matilde, Orsoni, Matteo, Giovagnoli, Sara, Pierluigi, Irene, Bacherini, Alice, Benassi, Mariagrazia, Balboni, Giulia and Stefanutti, Luca (2026) Multi-method validation of the new computerized test of fluid intelligence MatriKS. Behavior Research Methods, 58. ISSN 1554-351X

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Abstract

This paper introduces MatriKS, a new computerized tool for the assessment of fluid intelligence based on Raven-like matrices. Based on knowledge structure theory (KST), a mathematical framework initially designed for efficient assessment and personalized learning, MatriKS is the first large-scale application of KST to fluid intelligence assessment. The validation results for MatriKS, suitable for Italian individuals aged 4 to 11 (N=568), are presented. A multi-method approach incorporating classical test theory (CTT), item response theory (IRT), and KST was employed. Each of the three approaches, with its own assumptions and models, highlights structural properties of the data that are not captured by the other two. Nevertheless, the three approaches provide an acceptable modeling of the data supporting the adequate functioning of MatriKS. The study concludes by exploring the methodological and practical benefits of using KST for constructing tests and estimating individual cognitive profiles.

Item Type:	Article
Additional Information:	Availability of data and materials: The data used for the analyses are available on the Open Science Framework at: https://osf.io/7n4x2/?view_only=1c67d6d579774601aec7dddc5c5cc7c9. Code availability: The code used for the analyses are available on the Open Science Framework at: https://osf.io/7n4x2/?view_only=1c67d6d579774601aec7dddc5c5cc7c9.
Uncontrolled Keywords:	knowledge space theory,fluid intelligence,multi-method validation,matriks,raven's matrices
Faculty \ School:	Faculty of Social Sciences > School of Psychology
Depositing User:	LivePure Connector
Date Deposited:	16 Jun 2026 09:33
Last Modified:	16 Jun 2026 09:33
URI:	https://ueaeprints.uea.ac.uk/id/eprint/103409
DOI:	10.3758/s13428-026-03049-2

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