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Multi-method validation of the new computerized test of fluid intelligence MatriKS
Debora de Chiusole1, Ottavia M Epifania1,2, Pasquale Anselmi1
1Department of Philosophy, Sociology, Education and Applied Psychology, University of Padua, Via Venezia 14, 35131, Padova, Italy.
Behavior Research Methods
|June 8, 2026
Summary
MatriKS, a new tool for fluid intelligence assessment, effectively uses knowledge structure theory (KST) for personalized learning. Validation confirms its adequate functioning for children aged 4-11.
Area of Science:
- Cognitive Psychology
- Educational Technology
- Psychometrics
Background:
- Fluid intelligence assessment is crucial for understanding cognitive development.
- Existing methods may lack efficiency and personalization.
- Knowledge Structure Theory (KST) offers a framework for efficient assessment and learning.
Purpose of the Study:
- Introduce MatriKS, a novel computerized tool for fluid intelligence assessment.
- Apply KST to the large-scale assessment of fluid intelligence.
- Validate MatriKS for Italian children aged 4 to 11.
Main Methods:
- Utilized a multi-method validation approach.
- Incorporated Classical Test Theory (CTT), Item Response Theory (IRT), and KST.
- Analyzed data from 568 Italian children aged 4-11.
Main Results:
- All three theoretical approaches (CTT, IRT, KST) adequately modeled the data.
- MatriKS demonstrated adequate functioning.
- Each method highlighted unique structural properties of the data.
Conclusions:
- KST provides a robust framework for developing cognitive assessment tools.
- MatriKS is a validated tool for assessing fluid intelligence in young children.
- KST offers methodological and practical benefits for test construction and cognitive profiling.
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