An IRT Model with a Parameter-Driven Process for Change

Autor/inn/en	Rijmen, Frank; De Boeck, Paul; van der Maas, Han L. J.
Titel	An IRT Model with a Parameter-Driven Process for Change
Quelle	In: Psychometrika, 70 (2005) 4, S.651-669 (19 Seiten) PDF als Volltext Verfügbarkeit
Sprache	englisch
Dokumenttyp	gedruckt; online; Zeitschriftenaufsatz
ISSN	0033-3123
DOI	10.1007/s11336-002-1047-z
Schlagwörter	Item Response Theory; Models; Markov Processes; Psychometrics; Research Methodology; Change + Suchen Sie Ihr Suchwort? Item-Response-Theorie; Analogiemodell; Markowscher Prozess; Psychometry; Psychometrie; Research method; Forschungsmethode; Wandel
Abstract	An IRT model with a parameter-driven process for change is proposed. Quantitative differences between persons are taken into account by a continuous latent variable, as in common IRT models. In addition, qualitative inter-individual differences and auto-dependencies are accounted for by assuming within-subject variability with respect to the parameters of the IRT model. In particular, the parameters of the IRT model are governed by an unobserved or "hidden'" homogeneous Markov process. The model includes the mixture linear logistic test model (Mislevy & Verhelst, 1990), the mixture Rasch model (Rost, 1990), and the Saltus model (Wilson, 1989) as specific instances. The model is applied to a longitudinal experiment on discontinuity in conservation acquisition (van der Maas, 1993). (Author).
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Erfasst von	ERIC (Education Resources Information Center), Washington, DC
Update	2017/4/10