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Titolo:
Hierarchical modeling of paired comparison data
Autore:
Bockenholt, U;
Indirizzi:
Univ Illinois, Dept Psychol, Champaign, IL 61820 USA Univ Illinois Champaign IL USA 61820 ept Psychol, Champaign, IL 61820 USA
Titolo Testata:
PSYCHOLOGICAL METHODS
fascicolo: 1, volume: 6, anno: 2001,
pagine: 49 - 66
SICI:
1082-989X(200103)6:1<49:HMOPCD>2.0.ZU;2-W
Fonte:
ISI
Lingua:
ENG
Soggetto:
THURSTONIAN RANKING MODELS; MAXIMUM-LIKELIHOOD; MULTILEVEL MODELS; BINARY RESPONSES; CHOICE MODELS; REPRESENTATION; PREFERENCES; SIMILARITY;
Tipo documento:
Article
Natura:
Periodico
Settore Disciplinare:
Social & Behavioral Sciences
Citazioni:
58
Recensione:
Indirizzi per estratti:
Indirizzo: Bockenholt, U Univ Illinois, Dept Psychol, 603 E Daniel St, Champaign, IL 61820 USA Univ Illinois 603 E Daniel St Champaign IL USA 61820 820 USA
Citazione:
U. Bockenholt, "Hierarchical modeling of paired comparison data", PSYCHOL MET, 6(1), 2001, pp. 49-66

Abstract

The method of paired comparisons belongs to a small group of techniques that provide explicit information about the consistency of individual and aggregated choices. This article investigates the link between the individual-and group-level judgments by extending R. D. Luce's (1959) model, which was originally developed for individual choice behavior, to a mixed-effects paired comparison model. It is shown that standard multilevel software for binary data can be used to estimate the model. The interpretation of the paired comparison parameters and statistical model tests are discussed in detail. An extensive analysis of an experimental study illustrates the usefulness of a hierarchical approach in modeling multiple pairwise judgments.

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Documento generato il 04/04/20 alle ore 02:50:54