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ERIC Number: ED400274
Record Type: Non-Journal
Publication Date: 1996-Apr
Pages: 54
Abstractor: N/A
Reference Count: N/A
ISBN: N/A
ISSN: N/A
A Comparison of Linking and Concurrent Calibration under Item Response Theory.
Kim, Seock-Ho; Cohen, Allan S.
Applications of item response theory to practical testing problems including equating, differential item functioning, and computerized adaptive testing, require that item parameter estimates be placed onto a common metric. In this study, three methods for developing a common metric under item response theory are compared: (1) linking separate calibrations using equating coefficients from the characteristic curve method; (2) concurrent calibration via marginal maximum "a posteriori"; estimation; and (3) concurrent calibration via marginal maximum likelihood estimation. Linking using the characteristic curve method yielded smaller root mean square differences for both item discrimination and difficulty parameters for smaller numbers of common items. For the larger number of common items, the three methods yielded essentially the same results. (Contains 4 figures, 18 tables, and 23 references.) (Author/SLD)
Publication Type: Reports - Evaluative; Speeches/Meeting Papers
Education Level: N/A
Audience: N/A
Language: English
Sponsor: N/A
Authoring Institution: N/A