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ERIC Number: EJ654794
Record Type: Journal
Publication Date: 2001
Pages: N/A
Abstractor: N/A
Reference Count: N/A
ISSN: ISSN-1076-9986
Optimal Calibration Designs for Tests of Polytomously Scored Items Described by Item Response Theory Models.
Holman, Rebecca; Berger, Martijn P. F.
Journal of Educational and Behavioral Statistics, v26 n4 p361-80 Win 2001
Studied calibration designs that maximize the determinants of Fisher's information matrix on the item parameters for sets of polytomously scored items. Analyzed these items using a number of item response theory models. Results show that for the data and models used, a D-optimal calibration design for an answer or set of answers can reduce the number of examinees required to estimate the item parameters to a certain precision. (SLD)
Publication Type: Journal Articles; Reports - Research
Education Level: N/A
Audience: N/A
Language: English
Sponsor: N/A
Authoring Institution: N/A