Classification Consistency and Accuracy for Complex Assessments Using Item Response Theory
نویسنده
چکیده
This paper describes procedures for estimating single-administration classification consistency and accuracy indices using item response theory (IRT). This IRT approach is applied to real test data comprised of mixtures of dichotomous and polytomous items. Several different IRT model mixtures are considered. Comparisons are made between the IRT approach and two non-IRT procedures.
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