Affiliation:
1. Georgia State University
Abstract
Invariance of trait scales across changing samples of items and examinees is a central tenet of item re sponse 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 proce dures for estimating transformations have been pro posed for unidimensional models. This paper explores some issues involved in extending and adapting unidi mensional linking procedures for use with multidimen sional IRT models.
Subject
Psychology (miscellaneous),Social Sciences (miscellaneous)
Reference25 articles.
1. Angoff, W.H. (1982). Summary and derivation of equating methods used at ETS. In P. W. Holland & D. Rubin, Test equating (pp. 55-70). New York: Academic Press.
2. Birnbaum, A. (1968). Some latent trait models. In F. M. Lord & M. R. Novick , Statistical theories of mental test scores (pp. 397-479). Reading MA: Addison-Wesley.
3. A Minimum Chi-Square Method for Developing a Common Metric in Item Response Theory
Cited by
20 articles.
订阅此论文施引文献
订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献