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ERIC Number: EJ1059773
Record Type: Journal
Publication Date: 2015-Mar
Pages: 17
Abstractor: As Provided
Reference Count: 30
ISBN: N/A
ISSN: EISSN-1531-7714
Item Response Theory Using Hierarchical Generalized Linear Models
Ravand, Hamdollah
Practical Assessment, Research & Evaluation, v20 n7 Mar 2015
Multilevel models (MLMs) are flexible in that they can be employed to obtain item and person parameters, test for differential item functioning (DIF) and capture both local item and person dependence. Papers on the MLM analysis of item response data have focused mostly on theoretical issues where applications have been add-ons to simulation studies with a methodological focus. Although the methodological direction was necessary as a first step to show how MLMs can be utilized and extended to model item response data, the emphasis needs to be shifted towards providing evidence on how applications of MLMs in educational testing can provide the benefits that have been promised. The present study uses foreign language reading comprehension data to illustrate application of hierarchical generalized models to estimate person and item parameters, differential item functioning (DIF), and local person dependence in a three-level model.
Dr. Lawrence M. Rudner. e-mail: editor@pareonline.net; Web site: http://pareonline.net
Publication Type: Journal Articles; Reports - Research
Education Level: Higher Education; Postsecondary Education
Audience: N/A
Language: English
Sponsor: N/A
Authoring Institution: N/A
Identifiers - Location: Iran