An Investigation of Item Calibration Methods in Multistage Testing

Autor/inn/en	Cai, Liuhan; Albano, Anthony D.; Roussos, Louis A.
Titel	An Investigation of Item Calibration Methods in Multistage Testing
Quelle	In: Measurement: Interdisciplinary Research and Perspectives, 19 (2021) 3, S.163-178 (16 Seiten)Infoseite zur Zeitschrift PDF als Volltext Verfügbarkeit
Sprache	englisch
Dokumenttyp	gedruckt; online; Zeitschriftenaufsatz
ISSN	1536-6367
DOI	10.1080/15366367.2021.1878778
Schlagwörter	Adaptive Testing; Test Items; Item Response Theory; Test Construction; Simulation; Sample Size; Accuracy; Classification + Suchen Sie Ihr Suchwort? Test content; Testaufgabe; Item-Response-Theorie; Testaufbau; Simulation program; Simulationsprogramm; Classification system; Klassifikation; Klassifikationssystem
Abstract	Multistage testing (MST), an adaptive test delivery mode that involves algorithmic selection of predefined item modules rather than individual items, offers a practical alternative to linear and fully computerized adaptive testing. However, interactions across stages between item modules and examinee groups can lead to challenges in item calibration with MST. This study used simulated data based on an operational program to investigate the performance of four item calibration methods under a 1-3 MST design. Conditions included routing module length, routing rule, and sample size. Calibration methods were evaluated based on item and person parameter recovery and classification accuracy. Results indicated that calibration with fixed common item parameters and concurrent calibration assuming a single ability distribution similarly outperformed both separate calibration with linking and concurrent calibration with the multiple-group procedure. (As Provided).
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Erfasst von	ERIC (Education Resources Information Center), Washington, DC
Update	2024/1/01