Bias Correction for the Maximum Likelihood Estimate of Ability. Research Report. ETS RR-05-15

Autor/in	Zhang, Jinming
Titel	Bias Correction for the Maximum Likelihood Estimate of Ability. Research Report. ETS RR-05-15
Quelle	In: ETS Research Report Series, (2005), (43 Seiten)Infoseite zur Zeitschrift PDF als Volltext kostenfreie Datei Verfügbarkeit
Sprache	englisch
Dokumenttyp	gedruckt; online; Zeitschriftenaufsatz
ISSN	2330-8516
Schlagwörter	Quantitative Daten; Statistical Bias; Maximum Likelihood Statistics; Computation; Ability; Test Items; Methods; Item Response Theory; Simulation; Comparative Analysis + Suchen Sie Ihr Suchwort? Fähigkeit; Fertigkeit; Test content; Testaufgabe; Method; Methode; Item-Response-Theorie; Simulation program; Simulationsprogramm
Abstract	Lord's bias function and the weighted likelihood estimation method are effective in reducing the bias of the maximum likelihood estimate of an examinee's ability under the assumption that the true item parameters are known. This paper presents simulation studies to determine the effectiveness of these two methods in reducing the bias when the item parameters are unknown. The simulation results show that Lord's bias function and the weighted likelihood estimation method might not be as effective in bias reduction in the 3PL cases when item parameters are unknown as they are when the true item parameters are given. Algorithms and methods for obtaining the global maximum value of a likelihood function or a weighted likelihood function are discussed in this paper. (As Provided).
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Erfasst von	ERIC (Education Resources Information Center), Washington, DC
Update	2020/1/01