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Peer reviewedKarabatsos, George – Journal of Applied Measurement, 2001
Describes similarities and differences between additive conjoint measurement and the Rasch model, and formalizes some new nonparametric item response models that are, in a sense, probabilistic measurement theory models. Applies these new models to published and simulated data. (SLD)
Descriptors: Item Response Theory, Measurement Techniques, Nonparametric Statistics, Probability
Peer reviewedKarabatsos, George – Journal of Applied Measurement, 2000
Offers a critical analysis of the residual fit statistics of the Rasch model, demonstrating that Rasch fit analysis is not as simple as it appears to be. Calls for the use of residual-free Rasch fit statistics that are based on the number of Guttman response errors or indices that are optimal statistically for detecting measurement disturbances.…
Descriptors: Goodness of Fit, Item Response Theory


