The Just‐about‐right Intensity Scale: Functional Analyses and Relation to Hedonics

Abstract

This study assessed the meaning of just-about-right (JAR) categories when used with a 5-point intensity scale. The panelists comprised both consumer and in-house respondents. The JAR categories have various meanings as perceived by the respondents: "prefer product," "very good," "I like the product," "like it very much," "highly favorable," "high acceptability," "desirable like the product," "best for the situation" and "correct." Thus, the JAR meanings invoke preference and acceptability. This article presents two additional analyses to help the product tested. One method of analysis divides below-JAR deviation from the above-JAR deviation, with standard statistical procedures applied in each data set. The second method introduces the signalto-noise ratio statistic for analyzing the relation of JAR to overall liking. Both analytic methods provide new ways to look at the JAR data, especially with respect to hedonics and product improvement. Corresponding

Sensory and Hedonic Evaluation in Response to Food-Cue Exposure: The Case of Juicing Demonstration of Fresh Oranges

“…Since JAR scales utilize two different directions, interpretation of the meaning of JAR and analysis of the scale compounding respondents' heterogeneity preferences always require attention. Gacula et al (2007) found that consumers generally revealed the meaning of 'just-about-right' as their preference and acceptability about the attributes. In the same study, Gacula, Rutenbeck, Pollack, Resurreccion, & Moskowitz (2007) introduced two analysis methods of JAR scales: 1) dividing analysis below and above-JAR deviation and 2) signal-to-noise ratio (SNR) statistics.…”

“…Gacula et al (2007) found that consumers generally revealed the meaning of 'just-about-right' as their preference and acceptability about the attributes. In the same study, Gacula, Rutenbeck, Pollack, Resurreccion, & Moskowitz (2007) introduced two analysis methods of JAR scales: 1) dividing analysis below and above-JAR deviation and 2) signal-to-noise ratio (SNR) statistics. The first method is useful to provide heterogeneity preference and the direction of developments.…”

Efecto de la adición de inulina en las caracterísiticas sensoriales de batidos lácteos.

“…The Taguchi's signal-to-noise ratio (SNR) (Equation 1) was calculated in order to know the robustness of acceptability mean values of samples (Gacula, 1993;Gacula et al, 2007;Pastor et al, 1996),…”

“…These results show that depending on the composition of the vanilla beverage samples, the addition of inulins with a different average chain length can produce products whose sensorial differences are clearly perceived by the consumer. In order to analyse the relationship between the overall acceptability of samples and the appropriateness of each attribute levels, plots of acceptability versus JAR score deviation from category 3 (the just about right anchor of the scale) were used (Gacula et al, 2007). Two groups of data will emerge from this calculation, one for those individuals who feel that the product has too little of the attribute (below the JAR), and the other for those individuals who feel that the product has too much of the attribute (above the JAR).…”

Sensibilidade gustativa de adultos de uma instituição universitária do município de São Paulo

“…O limiar terminal corresponde à concentração de um gosto acima da qual não há aumento da percepção do mesmo (MEILGAARD et al, 1999 (GACULA et al, 2007). Embora concentrações ideais de determinado atributo sejam consideradas similares ou iguais a concentrações mais aceitas ou de preferência, diversos estudos mostram não existir relação direta entre as escalas empregadas nos dois testes (EPLER et al, 1998).…”