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Applied Psychological Measurement >
Volume 20, 1996 >
Please use this permanent URL to cite or link to this item:
http://purl.umn.edu/119530
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| Title: | Linking multidimensional item calibrations |
| Authors: | Davey, Tim Oshima, T. C. Lee, Kevin |
| Issue Date: | 1996 |
| Citation: | Davey, Tim, Oshima, T. C & Lee, Kevin. (1996). Linking multidimensional item calibrations. Applied Psychological Measurement, 20, 405-416. doi:10.1177/014662169602000407 |
| Abstract: | Invariance of trait scales across changing samples
of items and examinees is a central tenet of item response
theory (IRT). However, scales defined by most
IRT models are truly invariant with respect to certain
linear transformations of the parameters. The problem
is to find the proper transformation that places separate
calibrations on a common scale. A variety of procedures
for estimating transformations have been proposed
for unidimensional models. This paper explores
some issues involved in extending and adapting unidimensional
linking procedures for use with multidimensional
IRT models. Index terms: equating, item
response theory, linking, metric in IRT, multidimensional IRT, scale linking. |
| Permanent URL: | http://purl.umn.edu/119530 |
| Appears in Collections: | Volume 20, 1996
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