Semiparametric Item Response Functions in the Context of Guessing

Autor/inn/en	Falk, Carl F.; Cai, Li
Titel	Semiparametric Item Response Functions in the Context of Guessing
Quelle	In: Journal of Educational Measurement, 53 (2016) 2, S.229-247 (19 Seiten)Infoseite zur Zeitschrift PDF als Volltext Verfügbarkeit
Sprache	englisch
Dokumenttyp	gedruckt; online; Zeitschriftenaufsatz
ISSN	0022-0655
DOI	10.1111/jedm.12111
Schlagwörter	Item Response Theory; Guessing (Tests); Mathematics Tests; Simulation; Algebra; Mathematical Formulas; Comparative Analysis; Regression (Statistics); Educational Assessment; Probability; Multiple Choice Tests; Computation + Suchen Sie Ihr Suchwort? Item-Response-Theorie; Erraten; Simulation program; Simulationsprogramm; Mathematische Formel; Regression; Regressionsanalyse; Education; assessment; Bewertungssystem; Wahrscheinlichkeitsrechnung; Wahrscheinlichkeitstheorie; Multiple choice examinations; Multiple-choice tests, Multiple-choice examinations; Multiple-Choice-Verfahren
Abstract	We present a logistic function of a monotonic polynomial with a lower asymptote, allowing additional flexibility beyond the three-parameter logistic model. We develop a maximum marginal likelihood-based approach to estimate the item parameters. The new item response model is demonstrated on math assessment data from a state, and a computationally efficient strategy for choosing the order of the polynomial is demonstrated. Finally, our approach is tested through simulations and compared to response function estimation using smoothed isotonic regression. Results indicate that our approach can result in small gains in item response function recovery and latent trait estimation. (As Provided).
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Erfasst von	ERIC (Education Resources Information Center), Washington, DC
Update	2020/1/01