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Robust scale transformation methods ...

He, Yong.

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Robust scale transformation methods in IRT true score equating under common-item nonequivalent groups design.

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Robust scale transformation methods in IRT true score equating under common-item nonequivalent groups design./
作者:	He, Yong.
面頁冊數:	178 p.
附註:	Source: Dissertation Abstracts International, Volume: 75-03(E), Section: A.
Contained By:	Dissertation Abstracts International75-03A(E).
標題:	Education, Tests and Measurements. -
電子資源:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3576017
ISBN:	9781303552557

Robust scale transformation methods in IRT true score equating under common-item nonequivalent groups design.
He, Yong.

Robust scale transformation methods in IRT true score equating under common-item nonequivalent groups design. - 178 p.

Source: Dissertation Abstracts International, Volume: 75-03(E), Section: A.

Thesis (Ph.D.)--University of Missouri - Columbia, 2013.

Common test items play an important role in equating multiple test forms under the common-item nonequivalent groups design. Inconsistent item parameter estimates among common items can lead to large bias in equated scores for IRT true score equating. Current methods extensively focus on detection and elimination of outlying common items, which usually leads to enlarged random equating error and inadequate content representation of common items.

ISBN: 9781303552557Subjects--Topical Terms:

1017589
Education, Tests and Measurements.

Robust scale transformation methods in IRT true score equating under common-item nonequivalent groups design.
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245 1 0 $a Robust scale transformation methods in IRT true score equating under common-item nonequivalent groups design.
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500 $a Source: Dissertation Abstracts International, Volume: 75-03(E), Section: A.
500 $a Adviser: Steven Osterlind.
502 $a Thesis (Ph.D.)--University of Missouri - Columbia, 2013.
520 $a Common test items play an important role in equating multiple test forms under the common-item nonequivalent groups design. Inconsistent item parameter estimates among common items can lead to large bias in equated scores for IRT true score equating. Current methods extensively focus on detection and elimination of outlying common items, which usually leads to enlarged random equating error and inadequate content representation of common items.
520 $a New robust scale transformation methods based on robust regression, the robust Deming regression method, the robust Haebara method, and the least absolute values (LAV) method, were proposed. In simulation studies, performances of the proposed methods were compared to the Stocking-Lord method which yields the least equating errors among the traditional method and to outlier removal methods. The results indicate: 1) the robust Haebara method and the LAV method usually outperform the robust Deming regression method, 2) the robust Haebara method and the LAV method perform as well as the Stocking Lord method under the condition of No outlier, 3) the robust Haebara method and the LAV method perform better than the Stocking-Lord method when a single outlying common item is simulated, 4) the LAV method and the robust Haebara method are better than, or at least comparable to, the existing outlier removal methods in the presence of a single outlying common item, and 5) the LAV method and the robust Haebara method have smaller equated scores than the Stocking-Lord method using the CBASE data of English and Mathematics.
520 $a Keywords: item response theory, test equating, outlier, robust regression, Deming regression, common item.
590 $a School code: 0133.
650 4 $a Education, Tests and Measurements. $3 1017589
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710 2 $a University of Missouri - Columbia. $b Educational, School, and Counseling Psychology. $3 2098446
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792 $a 2013
793 $a English
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