2008
DOI: 10.1016/j.foodqual.2008.03.002
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Best–worst scaling: An introduction and initial comparison with monadic rating for preference elicitation with food products

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Cited by 120 publications
(95 citation statements)
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“…It consists of a measuring technique in which respondents are asked to choose their favourite attribute (the best) and their least favourite attribute (the worst) from a set of attributes. We adopted this methodology due to the possibility of identifying associations between sensory attributes and consumer choices in the preference data, as suggested by Jaeger et al [54]. Different advantages such as the use of a dimensional range for the importance of the attributes were reported.…”
Section: Measurement Of the Importance Of Attributes Using Best-worstmentioning
confidence: 99%
See 2 more Smart Citations
“…It consists of a measuring technique in which respondents are asked to choose their favourite attribute (the best) and their least favourite attribute (the worst) from a set of attributes. We adopted this methodology due to the possibility of identifying associations between sensory attributes and consumer choices in the preference data, as suggested by Jaeger et al [54]. Different advantages such as the use of a dimensional range for the importance of the attributes were reported.…”
Section: Measurement Of the Importance Of Attributes Using Best-worstmentioning
confidence: 99%
“…The first limitation of this method is its relativism, as additional information needs to be elicited in order to anchor the scale results. Such information would also allow for easier comparison to values from traditional rating scales [54,62]. The second limitation is that this methodology requires a greater cognitive effort [62], and may be considered more confusing than numerical scales [63].…”
Section: Measurement Of the Importance Of Attributes Using Best-worstmentioning
confidence: 99%
See 1 more Smart Citation
“…Este coeficiente mide la probabilidad de elección respecto al atributo más importante con 100% (Auger, Devinney, & Louviere, 2007;Flynn et al, 2007;Lee et al, 2008;Marley & Louviere, 2005). Además, si el atributo más importante se convierte en 100, se pueden estandarizar los datos (Jaeger, Danaher, & Brodie, 2009;Jaeger, Jørgensen, Aaslyng, & Bredie, 2008). El resultado se interpreta como X% de la probabilidad de ser elegido como el más importante.…”
Section: Análisis De Los Datosunclassified
“…Additionally, when words are used for scaling, subjects often focus on the literal meaning of the words, when in fact the metaphoric meaning often provides the fullness and complexity behind the word. Thomson et al (2010) suggested the use of best-worst scaling (Jaeger et al, 2008) because it provides the opportunity to use words (ideal for researchers) without requiring "external measurement scales." The general objective of this method is to provide the subject with the test product and four or five words at a time from a larger list of terms, and the subject simply needs to decide which of the words provided s/he feels is the most and the least closely related to their experience with the current test product; this is repeated with different groups of four or five words from the larger list of terms.…”
Section: Essense Profile™ Methodsmentioning
confidence: 99%