Item Screening in Graphical Loglinear Rasch Models |
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Authors: | Svend Kreiner Karl Bang Christensen |
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Affiliation: | (1) Department of Social Medicine, Institute of Public Health, University of Copenhagen, Oester Farimagsgade 5, P.O. Box 2099, Copenhagen, 1014, Denmark;(2) Department of Biostatistics, Institute of Public Health, University of Copenhagen, Copenhagen, Denmark;(3) Child and Adolescent Health Research Unit, University of Edinburgh, Edinburgh, Scotland;(4) McArthur Hall, Queen’s University, Kingston, Ontario, Canada |
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Abstract: | In behavioural sciences, local dependence and DIF are common, and purification procedures that eliminate items with these weaknesses often result in short scales with poor reliability. Graphical loglinear Rasch models (Kreiner & Christensen, in Statistical Methods for Quality of Life Studies, ed. by M. Mesbah, F.C. Cole & M.T. Lee, Kluwer Academic, pp. 187–203, 2002) where uniform DIF and uniform local dependence are permitted solve this dilemma by modelling the local dependence and DIF. Identifying loglinear Rasch models by a stepwise model search is often very time consuming, since the initial item analysis may disclose a great deal of spurious and misleading evidence of DIF and local dependence that has to disposed of during the modelling procedure. |
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