A New Concurrent Calibration Method for Nonequivalent Group Design under Nonrandom Assignment

Autor/inn/en	Miyazaki, Kei; Hoshino, Takahiro; Mayekawa, Shin-ichi; Shigemasu, Kazuo
Titel	A New Concurrent Calibration Method for Nonequivalent Group Design under Nonrandom Assignment
Quelle	In: Psychometrika, 74 (2009) 1, S.1-19 (19 Seiten) PDF als Volltext Verfügbarkeit
Sprache	englisch
Dokumenttyp	gedruckt; online; Zeitschriftenaufsatz
ISSN	0033-3123
DOI	10.1007/s11336-008-9076-x
Schlagwörter	Test Format; Item Response Theory; Test Items; Test Bias; Measurement Techniques; Monte Carlo Methods; Research Methodology; Evaluation Methods; Psychometrics + Suchen Sie Ihr Suchwort? Testentwicklung; Item-Response-Theorie; Test content; Testaufgabe; Testkritik; Messtechnik; Monte-Carlo-Methode; Research method; Forschungsmethode; Psychometry; Psychometrie
Abstract	This study proposes a new item parameter linking method for the common-item nonequivalent groups design in item response theory (IRT). Previous studies assumed that examinees are randomly assigned to either test form. However, examinees can frequently select their own test forms and tests often differ according to examinees' abilities. In such cases, concurrent calibration or multiple group IRT modeling without modeling test form selection behavior can yield severely biased results. We proposed a model wherein test form selection behavior depends on test scores and used a Monte Carlo expectation maximization (MCEM) algorithm. This method provided adequate estimates of testing parameters. (As Provided).
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Erfasst von	ERIC (Education Resources Information Center), Washington, DC
Update	2017/4/10