A Comparison of Scoring Options for Omitted and Not-Reached Items through the Recovery of IRT Parameters When Utilizing the Rasch Model and Joint Maximum Likelihood Estimation

Autor/inn/en	Custer, Michael; Sharairi, Sid; Swift, David
Titel	A Comparison of Scoring Options for Omitted and Not-Reached Items through the Recovery of IRT Parameters When Utilizing the Rasch Model and Joint Maximum Likelihood Estimation
Quelle	(2012), (23 Seiten) PDF als Volltext kostenfreie Datei Verfügbarkeit
Sprache	englisch
Dokumenttyp	gedruckt; online; Monographie
Schlagwörter	Scoring; Test Items; Item Response Theory; Maximum Likelihood Statistics; Computation; Comparative Analysis + Suchen Sie Ihr Suchwort? Bewertung; Test content; Testaufgabe; Item-Response-Theorie
Abstract	This paper utilized the Rasch model and Joint Maximum Likelihood Estimation to study different scoring options for omitted and not-reached items. Three scoring treatments were studied. The first method treated omitted and not-reached items as "ignorable/blank". The second treatment, scored omits as incorrect with "0" and left not-reached as blank and the third treatment scored both omitted and not-reached items as incorrect with "0". These scoring treatments were studied across two levels of missing data: "0.81% omit rate/10% not-reached" and "1.62% omit rate/20% not-reached" and two levels of not reaching the end of the test: independent of ability and dependent on ability. In terms of Bias, RMSD [Root Mean Squared Deviation], and the number of outlier differences between estimated and "true" parameters, performance was best when omitted and not-reached items were ignored or left blank. Performance was poorest when omitted and not-reached items were scored as incorrect with "0". Additional tables are appended. (Contains 5 tables.) (As Provided).
Erfasst von	ERIC (Education Resources Information Center), Washington, DC
Update	2017/4/10