Modification Indices for Diagnostic Classification Models

Christy Brown1, Jonathan Templin2

  • 1Department of Education and Human Development, Clemson University.

Summary

This study introduces a new method to identify errors in diagnostic classification models (DCMs) and their Q-matrices. This computationally efficient technique helps refine educational assessments for better student mastery evaluation.

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