1. Ordered probit regression analysis of the effect of brand name on beer acceptance by consumers
- Author
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Luis Antonio Minim, Carlos Henrique Osório Silva, Valéria Paula Rodrigues Minim, Paula de Aguiar Cipriano, and Suzana Maria Della Lucia
- Subjects
Brand names ,ordered probit regression ,non-sensory characteristics ,lcsh:TX341-641 ,Regression analysis ,Ordered probit ,Non-sensory characteristics ,Regression ,Test (assessment) ,Acceptance testing ,lcsh:Technology (General) ,Statistics ,lcsh:T1-995 ,Product (category theory) ,Food science ,sensory acceptance ,lcsh:Nutrition. Foods and food supply ,Ordered probit regression ,Sensory acceptance ,Food Science ,Biotechnology ,Mathematics - Abstract
Ordered probit regression was used to analyze data of sensory acceptance tests designed to study the effect of brand name on the acceptability of beer samples. Eight different brands of Pilsen beer were evaluated by 101 consumers in two sessions of acceptance tests: blind evaluation and brand information test. Ordered probit regression, although a relatively sophisticated technique compared to others used to analyze sensory data, was chosen to enable the observation of consumers' behavior using graphical interpretations of estimated probabilities plotted against hedonic scales. It can be concluded that brands B, C, and D had a positive effect on the sensory acceptance of the product, whereas brands A, F, G, and H had a negative influence on consumers' evaluation of the samples. On the other hand, brand E had little influence on consumers' assessment.
- Published
- 2013
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