Testing Hypotheses about the Person-Response Function in Person-Fit Analysis

Autor/inn/en	Emons, Wilco H. M.; Sijtsma, Klaas; Meijer, Rob R.
Titel	Testing Hypotheses about the Person-Response Function in Person-Fit Analysis
Quelle	In: Multivariate Behavioral Research, 39 (2004) 1, S.1-35 (35 Seiten) PDF als Volltext Verfügbarkeit
Sprache	englisch
Dokumenttyp	gedruckt; online; Zeitschriftenaufsatz
ISSN	0027-3171
Schlagwörter	Probability; Simulation; Item Response Theory; Test Items; Error Patterns; Goodness of Fit; Visual Aids; Hypothesis Testing + Suchen Sie Ihr Suchwort? Wahrscheinlichkeitsrechnung; Wahrscheinlichkeitstheorie; Simulation program; Simulationsprogramm; Item-Response-Theorie; Test content; Testaufgabe; Fehlertyp; Anschauungsmaterial; Hypothesenprüfung; Hypothesentest
Abstract	The person-response function (PRF) relates the probability of an individual's correct answer to the difficulty of items measuring the same latent trait. Local deviations of the observed PRF from the expected PRF indicate person misfit. We discuss two new approaches to investigate person fit. The first approach uses kernel smoothing to estimate continuous PRF estimates. Graphical displays of PRFs were used to localize and diagnose misfit. The second approach approximates the PRF by a logistic regression model. Hypothesis tests on the regression parameters were used to detect certain types of misfit. A simulation study was conducted to investigate the Type I error rates and the detection rates of the regression approach. (Author).
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Erfasst von	ERIC (Education Resources Information Center), Washington, DC
Update	2017/4/10