INTERNATIONAL JOURNAL OF TESTING, cilt.9, sa.2, ss.151-166, 2009 (ESCI)
This study introduces an approach for modeling multidimensional response data with construct-relevant group and domain factors. The item level parameter estimation process is extended to incorporate the refined effects of test dimension and group factors. Differences in item performances over groups are evaluated, distinguishing two levels of differential item functioning (DIF): a domain level and an item level.