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Area of Science:

  • Cognitive psychology
  • Psychometrics
  • Computational neuroscience

Background:

  • Limited availability of automated tools for generating Raven's Progressive Matrices.
  • Existing resources are often outdated, difficult to customize, or lack advanced features.
  • Current R packages for psychological assessment stimuli have restricted capabilities for matrix generation.

Purpose of the Study:

  • To introduce the matRiks package, an R tool for the automatic generation of Raven-like matrices.
  • To provide a flexible and systematic framework for creating cognitively interpretable matrix reasoning tasks.
  • To enable precise control over matrix complexity and scalable stimulus creation.

Main Methods:

  • Development of the matRiks R package.
  • Implementation of diverse transformation rules based on visuospatial and logical features.
  • Integration of automatic distractor generation based on common error patterns.

Main Results:

  • matRiks generates matrices using various transformation rules (e.g., shape, size, orientation, set operations).
  • The package innovatively produces distractors mirroring typical errors in Raven's tests.
  • Offers control over matrix complexity and supports scalable, reproducible stimulus creation.

Conclusions:

  • matRiks provides a powerful, user-friendly solution for generating high-quality matrix reasoning tasks.
  • The package enhances research reproducibility and facilitates cognitive assessment development.
  • Its open-source nature and ease of use benefit researchers and practitioners with basic R knowledge.