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Autor*innen: Kunina-Habenicht, Olga; Rupp, André A.; Wilhelm, Oliver
Titel: Incremental validity of multidimensional proficiency scores from diagnostic classification models: An illustration for elementary school mathematics
In: International Journal of Testing, 17 (2017) 4, S. 277-301
DOI: 10.1080/15305058.2017.1291517
Dokumenttyp: 3a. Beiträge in begutachteten Zeitschriften; Aufsatz (keine besondere Kategorie)
Sprache: Englisch
Schlagwörter: Arithmetik; Diagnostik; Empirische Untersuchung; Item-Response-Theory; Leistungsmessung; Mathematische Kompetenz; Modell; Regressionsanalyse; Reliabilität; Schülerleistung; Schülerleistungstest; Schuljahr 04; Testkonstruktion; Validität
Abstract (english): Diagnostic classification models (DCMs) hold great potential for applications in summative and formative assessment by providing discrete multivariate proficiency scores that yield statistically-driven classifications of students. Using data from a newly developed diagnostic arithmetic assessment that was administered to 2,032 fourth-grade students in Germany, we evaluated whether the multidimensional proficiency scores from the best-fitting DCM have an added value, over and above the unidimensional proficiency score from a simpler unidimensional IRT model, in explaning variance in external (a) school grades in mathematics and (b) unidimensional proficiency scores from a standards-based large-scale assessment of mathematics. Results revealed high classification reliabilities as well as interpretable parameter estimates for items and students for the best-fitting DCM. However, while DCM scores were moderatly correlated with both external criteria, only a negligible incremental validity of the multivariate attribute scores was found. (DIPF/Orig.)
DIPF-Abteilung: Bildungsqualität und Evaluation