A probabilistic unfolding model is presented which makes it possible to scale stimuli and subjects simultaneously, without assumptions concerning the distribution of subjects or of stimuli. The applicability of the model is demonstrated in areas of attitude measurement where the assumption of normality is inadequate.
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Friedrich Sixtl (1973) studied this question.
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