A Feature Model for Unfolding and Experimental Results
A feature model for unfolding and several experimental tests of this model are presented. Though an unfolding model allows more detailed predictions concerning choices as compared to models for stimulus comparison data, such as Restie’s (1961) model and Tversky’s (1972) Elimination By Aspects model, this is the only feature model for unfolding. Empirical studies in which the model is tested, uncover several properties of choices not predicted by conventional geometric models of unfolding.
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- Bossuyt, P. (1990). A comparison of probabilistic unfolding theories for paired comparisons data. Berlin: Springer.Google Scholar
- Bossuyt, P.M., & Roskam, Edw. E. (1989). Maximum likelihood unidimensional unfolding for a probabilistic model without distributional assumptions. In G. de Soete, H. Feger, & K.C. Klauer (Eds.), New developments in psychological choice modelling (pp. 77–98). Amsterdam: North-Holland.CrossRefGoogle Scholar
- Candel, M.J. (1990a). An additive random feature model for unfolding: Predictions for linear and quasi-linear trees. Manuscript submitted for publication.Google Scholar
- Candel, M.J. (1990b). The additive random feature model for unfolding: A critical test for linear and quasi-linear trees. Manuscript submitted for publication.Google Scholar
- Coombs, C.H. (1964). A theory of data. New York: Wiley.Google Scholar
- Marshall, C.W. (1971). Applied graph theory. New York: Wiley.Google Scholar
- Restle, F. (1961). The psychology of judgement and choice: A theoretical essay. New York: Wiley.Google Scholar
- Robertson, T., Wright, F.T., & Dykstra, R.L. (1988). Order restricted statistical inference. Chichester: Wiley.Google Scholar