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DOES THE RASCH MODEL REALLY WORK FOR MULTIPLE CHOICE ITEMS? NOT IF YOU LOOK CLOSELY
Author(s) -
DIVGI D. R.
Publication year - 1986
Publication title -
journal of educational measurement
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.917
H-Index - 47
eISSN - 1745-3984
pISSN - 0022-0655
DOI - 10.1111/j.1745-3984.1986.tb00251.x
Subject(s) - rasch model , equating , polytomous rasch model , test (biology) , item response theory , econometrics , psychology , statistics , multiple choice , trait , computer science , mathematics , psychometrics , significant difference , paleontology , biology , programming language
This paper discusses various issues involved in using the Rasch model with multiple choice tests. By presenting a modified test that is much more powerful, the value of Wright and Panchapakesan's test as evidence of model fit is shown to be questionable. According to the new test, the model failed to fit 68% of the items in the Anchor Test Study. Effects of such misfit on test equating are demonstrated. Results of some past studies purporting to support the Rasch model are shown to be irrelevant, or to yield the conclusion that the Rasch model did not fit the data. Issues like “objectivity” and consistent estimation are shown to be unimportant in selection of a latent trait model. Thus, available evidence shows the Rasch model to be unsuitable for multiple choice items.