Procrustes multiple factor analysis to analyse the overall perception of food products

Morand, Elisabeth; Pagès, Jacques

doi:10.1016/j.foodqual.2005.09.014

Cited by 26 publications

(10 citation statements)

References 10 publications

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“…MFA is a useful statistical technique to analyze the similarity of a set of observations explained by several different groups of variables on comparable or contradictory scales (Abdi & Valentin, 2007). MFA is able to balance the influence of each variable, can compare multiple data sets, and can demonstrate patterns of attribute correlation (Lê, Pagês, & Husson, 2008;Morand & Pagès, 2005;Nestrud & Lawless, 2008).…”

Section: Statistical Analysesmentioning

confidence: 99%

The application of check-all-that-apply (CATA) consumer profiling to preference mapping of vanilla ice cream and its comparison to classical external preference mapping

Dooley

Lee

Meullenet

2010

Food Quality and Preference

285

190

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Section: Statistical Analysesmentioning

confidence: 99%

The application of check-all-that-apply (CATA) consumer profiling to preference mapping of vanilla ice cream and its comparison to classical external preference mapping

Dooley

Lee

Meullenet

2010

Food Quality and Preference

285

190

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“…The data were analyzed by Procrustes Multiple Factor Analysis (PMFA) (Morand & Pagès, 2006). As the name suggests, this method combines Multiple Factor Analysis (Pagès & Husson, 2001) and Generalized Procrustes Analysis (Gower, 1975).…”

Section: Procrustes Multiple Factor Analysismentioning

confidence: 99%

“…As the name suggests, this method combines Multiple Factor Analysis (Pagès & Husson, 2001) and Generalized Procrustes Analysis (Gower, 1975). It consists in creating an MFA consensus configuration from each subject's sheet (Morand & Pagès, 2006), thus being particularly suitable for a Napping task, in which product sensory differences are expressed as Euclidean distances.…”

Section: Procrustes Multiple Factor Analysismentioning

confidence: 99%

“…The main advantage of employing MFA for this kind of data is that this method (as opposed to previously employed methods, e.g., PCA) treats each individual as a group of two un-standardized variables (the X and Y coordinates) (Pagès, 2005). This is important because individual differences in the use of the space (vertical vs. horizontal dimension) are respected, whereas in a standardized PCA this initial configuration would be deformed (Morand & Pagès, 2006), and thus it is possible to see what is actually important for that person (Lawless & Heymann, 2010). Furthermore, MFA balances the various groups (i.e.…”

Section: Procrustes Multiple Factor Analysismentioning

confidence: 99%

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Consumer-Based Product Profiling: Application of Partial Napping® for Sensory Characterization of Specialty Beers by Novices and Experts

Giacalone

Ribeiro

Frøst

2013

Journal of Food Products Marketing

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Napping ® is an inexpensive and rapid method for sensory characterization, suitable for both trained and untrained subjects. In the study presented, the method was applied on 9 specialty beers. Subjects were 17 consumers without any training as sensory panelists, of whom 8 were beer experts and 9 novices. The aim was to explore the usability of the Napping ® method by untrained consumers and to analyze differences between beer novices and experts in their ability to discriminate and describe the products. The method succeeded in discriminating between the beers, revealing sensory descriptors responsible for the differences. Analysis of differences between the two groups showed that the experts had higher agreement with regard to sample differences (significantly higher mean RV-coefficient, 0.61 vs. 0.41 for non-experts, p = 0.013). The results support the usability of Napping ® as a fast method for sensory characterization, with the advantage of providing a product characterization based on consumer descriptions, thus better reflecting consumers' experience with the product.This study was funded through the industry-research consortium "Dansk MikrobrygProduktinnovation og Kvalitet." We wish to thank to our colleagues Christian Dehlholm and Helene C. Reinbach for assistance with conducting the experiment and analyzing the data. The help of brewmaster Stefan Peter Stadler and Indslev Brewery with hosting one of the experimental sessions is also thankfully acknowledged.

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“…A drawback of this method is that it does not search block-components and the partial configurations that are obtained are not optimized. Morand and Pagés (2006) proposed a MFA combined with GPA to plot the partial configurations.…”

Section: Introductionmentioning

confidence: 99%

Two four-way multiblock methods used for comparing two consumer panels of children

Vivien¹,

Sune²

2009

Food Quality and Preference

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Procrustes multiple factor analysis to analyse the overall perception of food products

Cited by 26 publications

References 10 publications

The application of check-all-that-apply (CATA) consumer profiling to preference mapping of vanilla ice cream and its comparison to classical external preference mapping

The application of check-all-that-apply (CATA) consumer profiling to preference mapping of vanilla ice cream and its comparison to classical external preference mapping

Consumer-Based Product Profiling: Application of Partial Napping® for Sensory Characterization of Specialty Beers by Novices and Experts

Two four-way multiblock methods used for comparing two consumer panels of children

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