DSpace DSpace

University of Minnesota Digital Conservancy >
University of Minnesota - Twin Cities >
Applied Psychological Measurement >
Volume 20, 1996 >

Please use this identifier to cite or link to this item: http://hdl.handle.net/11299/119530

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.
URI: http://purl.umn.edu/119530
Appears in Collections:Volume 20, 1996

Files in This Item:

File Description SizeFormat
v20n4p405.pdf761.4 kBPDFView/Open

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.