A multi-level model for preferences

Gabrielsen, Gorm

doi:10.1016/s0950-3293(01)00019-2

Cited by 6 publications

(2 citation statements)

References 9 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…as in Gabrielsen (2000Gabrielsen ( , 2001 providing an alternative analysis to existing ways of analyzing such data like Bradley-Terry models (Bi, 2015;Cattelan, 2012). Bradley-Terry models can be analyzed in R (R Core Team, 2017) by e.g.…”

Section: Summary and Discussionmentioning

confidence: 99%

Individual differences in replicated multi-product experiments with Thurstonian mixed models for binary paired comparison data

Linander

Christensen

Cleaver

et al. 2019

Food Quality and Preference

View full text Add to dashboard Cite

Often sensory discrimination tests are performed with replications for the assessors. In this paper, we suggest a new way of analyzing data from a discrimination study. The model suggested in this paper is a Thurstonian mixed model, in which the variation from the assessors is modelled as a random effect in a generalized linear mixed model. The setting is a multi-product discrimination study with a binary paired comparison. This model makes it possible to embed the analyses of products into one analysis rather than having to do an analysis for each product separately. In addition, it is possible to embed the model into the Thurstonian framework obtaining d-prime interpretations of the estimates. Furthermore, it is possible to extract information about the assessors, even across the products. More specifically, assessor specific d-prime estimates are obtained providing a way to get information about the panel. These estimates are interesting because they make it possible to investigate if the assessors are assessing in a specific way.

show abstract

Section: Summary and Discussionmentioning

confidence: 99%

Individual differences in replicated multi-product experiments with Thurstonian mixed models for binary paired comparison data

Linander

Christensen

Cleaver

et al. 2019

Food Quality and Preference

View full text Add to dashboard Cite

show abstract

“…Since in many paired comparison studies, respondents are sampled randomly from a population of judges, it is appropriate to model individual differences in the stimulus evaluations with a multi-level framework (Bock & Jones, 1968;Gabrielsen, 2001;Takane, 1987). Taking into account both within-and between-judge effects in the evaluation of stimuli, this approach has three major advantages over the single-judgment paired comparison methods proposed by Thurstone (1927), Bradley and Terry (1952), and Luce (1959).…”

Section: Introductionmentioning

confidence: 99%

Visualizing individual differences in pairwise comparison data

Böckenholt

2006

Food Quality and Preference

View full text Add to dashboard Cite

An empirical assessment of the cross-national measurement validity of graded paired comparisons

2011

View full text Add to dashboard Cite

The popular use of graded paired comparisons in empirical studies assessing consumers’ preferences, and the potential effect of cross-national differences in (extreme) response styles on the quality of graded paired comparison data, supply ample reasons for an empirical verification of the cross-national validity of such scales. Using data from a cross-national margarine brand study including fourteen different nations (N=4,560), we found sufficient statistical evidence for cross-national bias due to existing cross-national differences in extreme responses. However, the low values reported for effect size measures (intra-class correlation coefficient, R2 value) indicated that the impact of the cross-national bias is marginal. The findings from our study provide empirical support for the hypothesis that graded paired comparison data can be meaningfully compared across nations

show abstract

A multi-level model for preferences

Cited by 6 publications

References 9 publications

Individual differences in replicated multi-product experiments with Thurstonian mixed models for binary paired comparison data

Individual differences in replicated multi-product experiments with Thurstonian mixed models for binary paired comparison data

Visualizing individual differences in pairwise comparison data

An empirical assessment of the cross-national measurement validity of graded paired comparisons

Contact Info

Product

Resources

About