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ERIC Number: EJ887376
Record Type: Journal
Publication Date: 2010-Jun
Pages: 19
Abstractor: As Provided
Reference Count: 26
ISBN: N/A
ISSN: ISSN-0033-3123
Reporting of Subscores Using Multidimensional Item Response Theory
Haberman, Shelby J.; Sinharay, Sandip
Psychometrika, v75 n2 p209-227 Jun 2010
Recently, there has been increasing interest in reporting subscores. This paper examines reporting of subscores using multidimensional item response theory (MIRT) models (e.g., Reckase in "Appl. Psychol. Meas." 21:25-36, 1997; C.R. Rao and S. Sinharay (Eds), "Handbook of Statistics, vol. 26," pp. 607-642, North-Holland, Amsterdam, 2007; Beguin & Glas in "Psychometrika," 66:471-488, 2001). A MIRT model is fitted using a stabilized Newton-Raphson algorithm (Haberman in "The Analysis of Frequency Data," University of Chicago Press, Chicago, 1974; "Sociol. Methodol." 18:193-211, 1988) with adaptive Gauss-Hermite quadrature (Haberman, von Davier, & Lee in "ETS Research Rep. No. RR-08-45," ETS, Princeton, 2008). A new statistical approach is proposed to assess when subscores using the MIRT model have any added value over (i) the total score or (ii) subscores based on classical test theory (Haberman in "J. Educ. Behav. Stat." 33:204-229, 2008; Haberman, Sinharay, & Puhan in "Br. J. Math. Stat. Psychol." 62:79-95, 2008). The MIRT-based methods are applied to several operational data sets. The results show that the subscores based on MIRT are slightly more accurate than subscore estimates derived by classical test theory. (Contains 5 tables, 4 figures, and 2 footnotes.)
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Publication Type: Journal Articles; Reports - Research
Education Level: N/A
Audience: N/A
Language: English
Sponsor: N/A
Authoring Institution: N/A