Abstract
This chapter focuses on modeling particular types of input data: ratings, rankings, and paired comparisons. It begins with elaborations on the classical Bradley-Terry model for paired comparisons of objects. Each object gets a parameter on an underlying continuum. Subsequently, the Bradley-Terry model is extended in terms of incorporating predictors. Two modern approaches are considered: recursive partitioning trees and lasso. The second part of the chapter deals with log-linear model formulations for preference data. So called pattern models are introduced, and versions for ratings, rankings, and paired comparisons are presented.
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Mair, P. (2018). Preference Modeling. In: Modern Psychometrics with R. Use R!. Springer, Cham. https://doi.org/10.1007/978-3-319-93177-7_5
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DOI: https://doi.org/10.1007/978-3-319-93177-7_5
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