A principal axes method for comparing contingency tables: MFACT

Bécue-Bertaut, Mónica; Pagès, Jacques

doi:10.1016/s0167-9473(03)00003-3

Cited by 33 publications

(23 citation statements)

References 13 publications

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“…Agreement between the description of trained assessors and consumers was analyzed using MFACT on the frequency table of the consensual terms used by trained assessors and consumers to describe the perfumes (Bécue‐Bertau and Pagès ).…”

Section: Methodsmentioning

confidence: 99%

Perfume Odor Categorization: To What Extent Trained Assessors and Consumers Agree?

Veramendi¹,

Herencia²,

Ares

2013

Journal of Sensory Studies

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The perfume industry is increasingly interested in developing perfume classification systems based on their odor character profile to improve consumer shopping experience. However, concerns have been raised regarding the external validity of the classifications performed by experts and trained assessors. In this context, the aim of the present work was to evaluate the influence of training on perfume odor characterization based on a sorting task, by comparing sensory maps of perfumes and descriptions provided by trained assessors and consumers. Fifteen commercially fine female perfumes were evaluated by trained assessors and consumers using a sorting task, followed by a description phase. Trained assessors and consumers provided similar sample configurations. However, there was no perfect agreement in their classifications and some differences in the conclusions regarding similarities and differences between samples were identified. Although the descriptions provided by trained assessors and consumers to characterize the odor profile of the perfumes were different, the most frequently mentioned terms were similar and were used in a similar way. Practical Applications Results from the present work showed that training affected to some extent the way in which perfumes are categorized and described, which suggests that consumer perception could be a valuable complementary tool when developing classification systems as well as perfume descriptions for marketing or communication purposes.

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Section: Methodsmentioning

confidence: 99%

Perfume Odor Categorization: To What Extent Trained Assessors and Consumers Agree?

Veramendi¹,

Herencia²,

Ares

2013

Journal of Sensory Studies

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“…MFACT is an extension of multiple factor analysis (MFA; Escofier & Pagès, 1998) dedicated to analyze multiple frequency/ contingency tables in a CA-like way but in reference to the intra-tables independence model (Bécue-Bertaut & Pagès, 2004). It adopts the MFA point of view to balance the influence of the different tables in the global analysis.…”

Section: Multiple Factor Analysis For Contingency Tables (Mfact)mentioning

confidence: 99%

“…Our proposal combines multiple factor analysis for contingency tables (MFACT; Bécue-Bertaut & Pagès, 2004, designed to tackle multiple frequency tables, and an original technique to assess which words are consensual and have to guide the interpretation.…”

Section: Introductionmentioning

confidence: 99%

An original methodology for the analysis and interpretation of word-count based methods: Multiple factor analysis for contingency tables complemented by consensual words

Kostov¹,

Bécue-Bertaut²,

Husson³

2014

Food Quality and Preference

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“…Such comparison of configurations can be done by comparing the sample configurations from the two sessions and, additionally, by means of multiblock data analysis, such as Generalized Procrustes Analysis (Arnold, 1986;Arnold & Williams, 1986;Gower, 1975), STATIS (Lavit, Escoufier, Sabatier, & Traissac, 1994), or MFA (Escofier & Pagès, 1994, 1998Pagès, 2013). Since the input tables in CATA tasks are contingency tables (here, one contingency table crossing the products in rows and the terms in columns is obtained for each session), one suitable solution to analyse the data consists in performing MFACT (Bécue-Bertaut & Pagès, 2004;Kostov et al, 2013). This analysis aims at balancing each group in the analysis by performing Correspondence Analysis (CA; Husson, Lê, & Pagès, 2011) on each separate group (a contingency table).…”

Section: Reproducibilitymentioning

confidence: 99%

“…The methodologies proposed to assess the reproducibility at the panel level and the agreement are based on the McNemar test and Multiple Factor Analysis on Contingency Table (MFACT; Bécue -Bertaut & Pagès, 2004;Bécue-Bertaut, Álvarez-Esteban, & Pagès, 2008;Kostov, Bécue-Bertaut, & Husson, 2013) which includes the first eigenvalue, the partial points' representations, and the RV coefficients measured between the adequate pairs of configurations (Escoufier, 1973;Josse, Pagès, & Husson, 2008;see Tomic et al, 2013).…”

Section: Introductionmentioning

confidence: 99%

Contributions to assess the reproducibility and the agreement of respondents in CATA tasks

Worch

Piqueras‐Fiszman

2015

Food Quality and Preference

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A principal axes method for comparing contingency tables: MFACT

Cited by 33 publications

References 13 publications

Perfume Odor Categorization: To What Extent Trained Assessors and Consumers Agree?

Perfume Odor Categorization: To What Extent Trained Assessors and Consumers Agree?

An original methodology for the analysis and interpretation of word-count based methods: Multiple factor analysis for contingency tables complemented by consensual words

Contributions to assess the reproducibility and the agreement of respondents in CATA tasks

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