A Comparison of Probabilistic Unfolding Theories for Paired Comparisons Data

Nonfiction, Social & Cultural Studies, Social Science, Statistics, Health & Well Being, Medical, Specialties, Anesthesiology, Psychology
Cover of the book A Comparison of Probabilistic Unfolding Theories for Paired Comparisons Data by Patrick Bossuyt, Springer Berlin Heidelberg
View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart
Author: Patrick Bossuyt ISBN: 9783642841729
Publisher: Springer Berlin Heidelberg Publication: December 6, 2012
Imprint: Springer Language: English
Author: Patrick Bossuyt
ISBN: 9783642841729
Publisher: Springer Berlin Heidelberg
Publication: December 6, 2012
Imprint: Springer
Language: English

Some data-analytic methods excel by their sheer elegance. Their basic principles seem to have a particular attraction, based on a intricate combination of simplicity, deliberation, and power. They usually balance on the verge of two disciplines, data-analysis and foundational measurement, or statistics and psychology. To me, unfolding has always been one of them. The theory and the original methodology were created by Clyde Coombs (1912-1988) to describe and analyze preferential choice data. The fundamental assumptions are truly psy­ chological; Unfolding is based on the notion of a single peaked preference function over a psychological similarity space, or, in an alternative but equivalent expression, on the assumption of implicit comparisons with an ideal alternative. Unfolding has proved to be a very constructive data-analytic principle, and a source of inspiration for many theories on choice behavior. Yet the number of applications has not lived up to the acclaim the theory has received among mathematical psychologists. One of the reasons is that it requires far more consistency in human choice behavior than can be expected. Several authors have tried to attenuate these requirements by turning the deterministic unfolding theory into a probabilistic one. Since Coombs first put forth a probabilistic version of his theory, a number of competing proposals have been presented in the literature over the past thirty years. This monograph contains a summary and a comparison of unfolding theories for paired comparisons data, and an evaluation strategy designed to assess the validity of these theories in empirical choice tasks.

View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart

Some data-analytic methods excel by their sheer elegance. Their basic principles seem to have a particular attraction, based on a intricate combination of simplicity, deliberation, and power. They usually balance on the verge of two disciplines, data-analysis and foundational measurement, or statistics and psychology. To me, unfolding has always been one of them. The theory and the original methodology were created by Clyde Coombs (1912-1988) to describe and analyze preferential choice data. The fundamental assumptions are truly psy­ chological; Unfolding is based on the notion of a single peaked preference function over a psychological similarity space, or, in an alternative but equivalent expression, on the assumption of implicit comparisons with an ideal alternative. Unfolding has proved to be a very constructive data-analytic principle, and a source of inspiration for many theories on choice behavior. Yet the number of applications has not lived up to the acclaim the theory has received among mathematical psychologists. One of the reasons is that it requires far more consistency in human choice behavior than can be expected. Several authors have tried to attenuate these requirements by turning the deterministic unfolding theory into a probabilistic one. Since Coombs first put forth a probabilistic version of his theory, a number of competing proposals have been presented in the literature over the past thirty years. This monograph contains a summary and a comparison of unfolding theories for paired comparisons data, and an evaluation strategy designed to assess the validity of these theories in empirical choice tasks.

More books from Springer Berlin Heidelberg

Cover of the book The Skin and Gene Therapy by Patrick Bossuyt
Cover of the book Mathematik in der Biologie by Patrick Bossuyt
Cover of the book Introduction to Manual Medicine by Patrick Bossuyt
Cover of the book Modelling Language Behaviour by Patrick Bossuyt
Cover of the book Biologie der Sinne by Patrick Bossuyt
Cover of the book The Hamburg Lectures on Maritime Affairs 2011-2013 by Patrick Bossuyt
Cover of the book Economic Growth by Patrick Bossuyt
Cover of the book Process Modelling and Landform Evolution by Patrick Bossuyt
Cover of the book Investitionsrechnung: Kapitalwert, Zinsfuß, Annuität, Amortisation by Patrick Bossuyt
Cover of the book Progress in Botany by Patrick Bossuyt
Cover of the book Social Business by Patrick Bossuyt
Cover of the book Electromyography and Evoked Potentials by Patrick Bossuyt
Cover of the book 60 Excellent Inventions in Metal Forming by Patrick Bossuyt
Cover of the book Takagi-Sugeno Fuzzy Systems Non-fragile H-infinity Filtering by Patrick Bossuyt
Cover of the book Multi-Layer Potentials and Boundary Problems by Patrick Bossuyt
We use our own "cookies" and third party cookies to improve services and to see statistical information. By using this website, you agree to our Privacy Policy