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A comparison of the discriminating power of anova and r-index analyses of hedonic data for various products and experimental protocols

Title
A comparison of the discriminating power of anova and r-index analyses of hedonic data for various products and experimental protocols
Authors
Park H.O'Mahony M.Kim K.-O.
Ewha Authors
김광옥
SCOPUS Author ID
김광옥scopus
Issue Date
2007
Journal Title
Journal of Sensory Studies
ISSN
0887-8250JCR Link
Citation
vol. 22, no. 3, pp. 281 - 292
Indexed
SCI; SCIE; SCOPUS WOS scopus
Abstract
Consumers rated a set of toothpastes and a set of orange-flavored beverages on a 9-point hedonic scale, using two experimental protocols: Rank-Rating where stimuli could continually be reassessed and a more traditional approach where they could not. A 21-point hedonic scale was also used in the Rank-Rating condition. The hedonic data were analyzed in the usual way using ANOVA with multiple comparisons and also by ranking the data and using an R-index analysis. Regarding the numbers of significant differences recorded, the two analyses were comparable, with a very slight and nonsignificant advantage for the ANOVA analysis. Unlike with intensity scaling, the difference between Rank-Rating and "traditional" scaling was slight but not for all products. The same was true for scale length effects. Differences among the products suggested effects due to the number of attributes that varied. PRACTICAL APPLICATIONS The key finding in this study is the use of Rank-Rating where stimuli could continually be re-assessed for the assessment of hedonic response of consumers in the various products. Rank-Rating may possibly give a better discrimination than more traditional scaling, depending on the number of attributes which varied. The results of the study also recommend the use of R-index analyses of ranked hedonic data in the analyses rather than ANOVA with multiple comparisons. © 2007, Blackwell Publishing.
DOI
10.1111/j.1745-459X.2007.00106.x
Appears in Collections:
엘텍공과대학 > 식품공학전공 > Journal papers
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