Restricted unfolding: Preference analysis with optimal transformations of preferences and attributes

Busing, Frank M.T.A.; Heiser, Willem J.; Cleaver, Graham

doi:10.1016/j.foodqual.2009.08.006

Cited by 31 publications

(11 citation statements)

References 40 publications

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“…Busing and his colleagues have contributed significantly to the development of deterministic unfolding models and have made important progress in solving the degeneracy problem for deterministic models (Busing et al . , ; van de Velden et al . ).…”

Section: Unfolding Other Hedonic Datamentioning

confidence: 98%

Mapping Hedonic Data: A Process Perspective

Ennis

2013

Journal of Sensory Studies

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Multivariate analyses are commonly used to study differences among items in a multidimensional space and to relate these findings to hedonic assessments of the same items. But there are numerous methods in use and the purpose of this article is to review these methods from a process standpoint. Specifically, this article considers the process assumptions behind several of the popular methods for multivariate mapping of hedonic data and argues that experimenters should consider how their data arise so that they can correctly interpret their findings. Among the methods considered in this article are models based on the hedonic continuum, internal and external preference mapping, and deterministic and probabilistic unfolding of preference and liking. Practical Applications Multivariate mapping of hedonic data has led to improved consumer products and a better understanding of consumer liking and choice. In this article, practitioners will find guidance in their choice of methods through a consideration of the processes that generate their data. Without a process‐based perspective, practitioners will not be able to optimally interpret results from the wide variety of available multivariate mapping methods.

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Section: Unfolding Other Hedonic Datamentioning

confidence: 98%

Mapping Hedonic Data: A Process Perspective

Ennis

2013

Journal of Sensory Studies

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“…Degeneracy occurs if claimants with the same proximities to one of the poles would be located at different locations in the graph, reflecting multiple equally good solutions. The PREFSCAL algorithm has the additional major advantage that the assumption that the order of preferences is linear can be relaxed (Busing et al, 2010). Given the quasi-linear nature of the proximities, this accurately reflects the original data.…”

Section: Mapping Potential Cleavage Patterns Using Multidimensional Umentioning

confidence: 99%

Accountability and opposition to globalization in international assemblies

Wilde

Junk

Palmtag

2016

European Journal of International Relations

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Standard-Nutzungsbedingungen:Die Dokumente auf EconStor dürfen zu eigenen wissenschaftlichen Zwecken und zum Privatgebrauch gespeichert und kopiert werden.Sie dürfen die Dokumente nicht für öffentliche oder kommerzielle Zwecke vervielfältigen, öffentlich ausstellen, öffentlich zugänglich machen, vertreiben oder anderweitig nutzen.Sofern die Verfasser die Dokumente unter Open-Content-Lizenzen (insbesondere CC-Lizenzen) zur Verfügung gestellt haben sollten, gelten abweichend von diesen Nutzungsbedingungen die in der dort genannten Lizenz gewährten Nutzungsrechte. Terms of use: Documents in Tabea PalmtagUniversity of Zürich, Switzerland AbstractAdvocates of a global democratic parliament have expressed hopes that this would not only legitimize global governance in procedural terms, but also bring about more cosmopolitan policies. They point to the European Parliament as an example of a successful real existing democratic parliament beyond the state with cosmopolitan intent. We analyse plenary debates in the United Nations General Assembly and the European Parliament about the issues of climate change, human rights, migration, trade and European integration between 2004 and 2011 to study the nature of opposition to cosmopolitanism within these two assemblies. We find more vocal and better-organized opposition to cosmopolitanism in the European Parliament than in the United Nations General Assembly. We demonstrate the plausibility that direct and more proportional mechanisms of delegation and accountability in the case of the European Parliament account for this observed difference. Should further research confirm these initial findings, advocates of a global democratic parliament may find that an empowered democratic World Parliament would support less cosmopolitan policies than the current United Nations General Assembly.

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“…Data analysis methods dealing with preference rankings belonging to the first category include Principal Component Analysis (Carroll, 1972), Multidimensional Scaling (Heiser & De Leeuw, 1981), Categorical Principal Component Analysis (Meulman, Van Der Kooij, & Heiser, 2004) and Unfolding methods (Coombs, 1950(Coombs, , 1964Busing, Groenen, & Heiser, 2005;Van Deun, Heiser, & Delbeke 2007;Busing, 2009;Busing, Heiser, & Cleaver, 2010). Probabilistic methods that model the ranking process include the so-called Thurstonian models, as well as distance-based and multistage models (Thurstone, 1927;Bradley & Terry, 1952;Mallows, 1957;Luce, 1957;Fligner & Verducci, 1986, 1988Critchlow, Fligner, & Verducci, For example, if n = 5 and λ = (1, 1, 1, 1, 1) then λ is expression of a full ranking in which the vector a could be equal to (1,2,3,4,5).…”

Section: Introductionmentioning

confidence: 99%

A Recursive Partitioning Method for the Prediction of Preference Rankings Based Upon Kemeny Distances

D’Ambrosio

Heiser

2016

Psychometrika

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Preference rankings usually depend on the characteristics of both the individuals judging a set of objects and the objects being judged. This topic has been handled in the literature with log-linear representations of the generalized Bradley-Terry model and, recently, with distance-based tree models for rankings. A limitation of these approaches is that they only work with full rankings or with a pre-specified pattern governing the presence of ties, and/or they are based on quite strict distributional assumptions. To overcome these limitations, we propose a new prediction tree method for ranking data that is totally distribution-free. It combines Kemeny's axiomatic approach to define a unique distance between rankings with the CART approach to find a stable prediction tree. Furthermore, our method is not limited by any particular design of the pattern of ties. The method is evaluated in an extensive full-factorial Monte Carlo study with a new simulation design.

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Restricted unfolding: Preference analysis with optimal transformations of preferences and attributes

Cited by 31 publications

References 40 publications

Mapping Hedonic Data: A Process Perspective

Mapping Hedonic Data: A Process Perspective

Accountability and opposition to globalization in international assemblies

A Recursive Partitioning Method for the Prediction of Preference Rankings Based Upon Kemeny Distances

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