An Investigation of the Robustness of a Partial Credit Model-Based Computerized Adaptive Test to Misfitting Items.

Autor/inn/en	De Ayala, R. J.; und weitere
Titel	An Investigation of the Robustness of a Partial Credit Model-Based Computerized Adaptive Test to Misfitting Items.
Quelle	(1991), (19 Seiten) PDF als Volltext kostenfreie Datei Verfügbarkeit
Sprache	englisch
Dokumenttyp	gedruckt; online; Monographie
Schlagwörter	Adaptive Testing; Computer Assisted Testing; Equations (Mathematics); Error of Measurement; Factor Analysis; Goodness of Fit; Mathematical Models; Maximum Likelihood Statistics; Robustness (Statistics); Test Items + Suchen Sie Ihr Suchwort? Equations; Mathematics; Gleichungslehre; Messfehler; Faktorenanalyse; Mathematical model; Mathematisches Modell; Widerstandsfähigkeit; Test content; Testaufgabe
Abstract	The robustness of a partial credit (PC) model-based computerized adaptive test's (CAT's) ability estimation to items that did not fit the PC model was investigated. A CAT program was written based on the PC model. The program used maximum likelihood estimation of ability. Item selection was on the basis of information. The simulation terminated when a maximum of 30 items was reached or when a predetermined standard error of estimate (SEE) was obtained. SEE termination criteria of 0.20, 0.25, and 0.30 were used. Responses to 150 5-alternative items generated according to a linear factor analytic model were simulated for 1,000 examinees. Results indicate that reasonably accurate ability estimation could be obtained despite the adaptive tests, which, on the average, contained up to 45% misfitting items. The inclusion of the misfitting items did not appear to increase the PC CAT test lengths. The benefits of polytomous model-based CATs were discussed. Three data tables, five figures, and a 30-item list of references are included. (SLD)
Erfasst von	ERIC (Education Resources Information Center), Washington, DC