Diagnostic Models as Partially Ordered Sets

Autor/in	Tatsuoka, Curtis
Titel	Diagnostic Models as Partially Ordered Sets
Quelle	In: Measurement: Interdisciplinary Research and Perspectives, 7 (2009) 1, S.49-53 (5 Seiten)Infoseite zur Zeitschrift PDF als Volltext Verfügbarkeit
Sprache	englisch
Dokumenttyp	gedruckt; online; Zeitschriftenaufsatz
ISSN	1536-6367
Schlagwörter	Stellungnahme; Test Items; Classification; Psychometrics; Item Response Theory; Evaluation Problems; Models; Evidence; Measurement; Criterion Referenced Tests; Diagnostic Tests; Measurement Techniques; Educational Assessment; Educational Testing; Student Evaluation; Evaluation Methods; State of the Art Reviews + Suchen Sie Ihr Suchwort? Test content; Testaufgabe; Classification system; Klassifikation; Klassifikationssystem; Psychometry; Psychometrie; Item-Response-Theorie; Analogiemodell; Evidenz; Messverfahren; Diagnostic test; Diagnostischer Test; Messtechnik; Education; assessment; Bewertungssystem; Schulnote; Studentische Bewertung; Entwicklungsstand
Abstract	In this commentary, the author addresses what is referred to as the deterministic input, noisy "and" gate (DINA) model. The author mentions concerns with how this model has been formulated and presented. In particular, the author points out that there is a lack of recognition of the confounding of profiles that generally arises and then discusses its consequences. A more general formulation based on partially ordered sets is also described. In addition, in terms of how diagnostic classification models (DCMs) are defined, the restriction to discrete outcomes is limiting, and the author suggests that it be relaxed. (ERIC).
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Erfasst von	ERIC (Education Resources Information Center), Washington, DC
Update	2017/4/10