Equivalency of the DINA Model and a Constrained General Diagnostic Model. Research Report. ETS RR-11-37

Autor/in	von Davier, Matthias
Institution	Educational Testing Service
Titel	Equivalency of the DINA Model and a Constrained General Diagnostic Model. Research Report. ETS RR-11-37
Quelle	(2011), (14 Seiten) PDF als Volltext kostenfreie Datei Verfügbarkeit
Sprache	englisch
Dokumenttyp	gedruckt; online; Monographie
Schlagwörter	Clinical Diagnosis; Classification; Models; Matrices; Statistical Analysis + Suchen Sie Ihr Suchwort? Classification system; Klassifikation; Klassifikationssystem; Analogiemodell; Matrizenrechnung; Statistische Analyse
Abstract	This report shows that the deterministic-input noisy-AND (DINA) model is a special case of more general compensatory diagnostic models by means of a reparameterization of the skill space and the design (Q-) matrix of item by skills associations. This reparameterization produces a compensatory model that is equivalent to the (conjunctive) DINA model, and is valid for all types of complex structure Q-matrices, not only for trivial cases. This equivalency uses the GDM as the basis, is not based on recent developments of diagnosis models such as G-DINA or LCDM. Model equivalency is a topic of some relevance as soon as researchers want to draw conclusions derived from any particular model-based estimates. It can be shown that for multidimensional models, there are often multiple ways to specify different sets of latent variables and their relationships to observed variables. This report goes beyond showing that multiple versions of a design matrix lead to the same model-based conditional probability space; it shows that a "conjunctive" diagnostic classification model can be expressed as a constrained special case of a "compensatory" diagnostic modeling framework. (Contains 2 tables.) (As Provided).
Anmerkungen	Educational Testing Service. Rosedale Road Mailstop 19R, Princeton, NJ 08541-0001. Tel: 609-921-9000; Fax: 609-734-5410; Web site: http://www.ets.org
Erfasst von	ERIC (Education Resources Information Center), Washington, DC
Update	2017/4/10