Modelling Assumed Metric Paired Comparison Data - Application to Learning Related Emotions

Grand, Alexandra and Dittrich, Regina (2015) Modelling Assumed Metric Paired Comparison Data - Application to Learning Related Emotions. Austrian Journal of Statistics, 44 (1). pp. 3-15. ISSN 1026-597X

Available under License Creative Commons Attribution 3.0 Austria (CC BY 3.0 AT).

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In this article we suggest a beta regression model that accounts for the degree of preference in paired comparisons measured on a bounded metric paired comparison scale. The beta distribution for bounded continuous random variables assumes values in the open unit interval (0,1). However, in practice we will observe paired comparison responses that lie within a fixed or arbitrary fixed interval [-a,a] with known value of a. We therefore transform the observed responses into the interval (0,1) and assume that these transformed responses are each a realization of a random variable which follows a beta distribution. We propose a simple paired comparison regression model for beta distributed variables which allows us to model the mean of the transformed response using a linear predictor and a logit link function -- where the linear predictor is defined by the parameters of the logit-linear Bradley-Terry model. For illustration we applied the presented model to a data set obtained from a student survey of learning related emotions in mathematics. (authors' abstract)

Item Type: Article
Keywords: beta regression / logistic Bradley-Terry model / metric paired comparisons
Divisions: Departments > Finance, Accounting and Statistics > Statistics and Mathematics
Kompetenzzentren > Empirische Forschungsmethoden
Version of the Document: Published
Variance from Published Version: None
Depositing User: Elena Simukovic
Date Deposited: 15 Dec 2015 08:48
Last Modified: 27 Dec 2015 16:51
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