Latent Class Models for the Analysis of Rankings

In this papers several latent class models for the analysis of rank order data are developed and discussed. These models try to accommodate the rationale of individual choice models to the situation in which a large number of respondents is sampled from a non-homogeneous population. By considering these individual choice models as statistical error theories, these models may be seen to fall within the domain of general latent structure analysis and as such, they may provide a viable alternative to the more traditional scaling methods for the analysis of rankings.

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