Search results for "GRI"

showing 10 items of 10209 documents

Risk tables for discrimination tests

1993

Abstract Duo-trio and triangle test are often used in the food industry for the purpose of declaring two products non-distinguishable. In that situation, it is much more important to control the power of the test rather than the type 1 error risk. This paper makes available by e-mail a SAS ® macro, called BINRISKS, for computing type 1 and type 2 risks for any one-tailed binomial test and for any level of the percentage above chance to be detected. Using this macro, two sets of tables have been compiled. The first table includes for any total number of responses below 50, for any number of correct responses and for three levels of the percentage above chance to be detected, the correspondin…

0303 health sciencesNutrition and Dietetics030309 nutrition & dieteticsBinomial test04 agricultural and veterinary sciences[SDV.IDA] Life Sciences [q-bio]/Food engineering040401 food scienceDiscrimination testingTest (assessment)03 medical and health sciences0404 agricultural biotechnology[SDV.IDA]Life Sciences [q-bio]/Food engineeringStatisticsEconometricsTable (database)MacroComputingMilieux_MISCELLANEOUSFood ScienceTriangle testMathematicsType I and type II errorsFood Quality and Preference
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Problems in time-intensity measurements. A case study-Bitterness evaluation in water solutions and in beers

1992

International audience

0303 health sciencesNutrition and Dietetics030309 nutrition & dieteticsChemistryAnalytical chemistry04 agricultural and veterinary sciences[SDV.IDA] Life Sciences [q-bio]/Food engineering040401 food scienceComputational physics03 medical and health sciences0404 agricultural biotechnology[SDV.IDA]Life Sciences [q-bio]/Food engineeringTime intensityComputingMilieux_MISCELLANEOUSFood Science
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Comments from Pascal Schlich on the Steinsholt's paper

1998

International audience

0303 health sciencesNutrition and Dietetics030309 nutrition & dieteticsComputer scienceProgramming languageVARIANT04 agricultural and veterinary sciencesPascal (programming language)[SDV.IDA] Life Sciences [q-bio]/Food engineeringcomputer.software_genre040401 food science03 medical and health sciences0404 agricultural biotechnology[SDV.IDA]Life Sciences [q-bio]/Food engineeringcomputerComputingMilieux_MISCELLANEOUSFood Sciencecomputer.programming_language
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The MAM-CAP table: A new tool for monitoring panel performances

2014

Abstract Assessor performances in sensory analysis are usually represented by three indicators: repeatability, discrimination and agreement. However, assessors can also differ on the range of their scores, the so-called “scaling effect”. Brockhoff, Schlich, and Skovgaard (2013) proposed the mixed assessor model (MAM) which, as the original assessor model ( Brockhoff & Skovgaard, 1994 ), takes this effect into account, but also allows for the product effect to be tested against a new interaction free of the scaling effect. The present paper proposes a unified system for monitoring assessor and panel performances based on the MAM. In addition to the product effect (tested at panel and individ…

0303 health sciencesNutrition and Dietetics030309 nutrition & dieteticsComputer science[ SDV.AEN ] Life Sciences [q-bio]/Food and Nutritionscalingpanel performance04 agricultural and veterinary sciencesRepeatabilitymixed assessor model040401 food scienceSensory analysisUnified system03 medical and health sciences0404 agricultural biotechnologyScaling effectStatisticsRange (statistics)Table (database)Scaling[SDV.AEN]Life Sciences [q-bio]/Food and NutritionFood Science
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Athletic abs or big bellies:The impact of imagery, arousal levels, and health consciousness on consumers’ attitudes towards plant-based protein produ…

2021

Abstract Research suggests that health-related imagery influences consumers’ product attitudes, and that both appetitive, positively framed and aversive, negatively framed imagery can be used to boost health-related responses. Arousal has been suggested as a mechanism driving such responses, but few studies in food-related consumer research have examined the link between arousal and consumers’ product attitudes. The present cross-national study, involving almost 1000 consumers (N = 959) from Denmark, Germany, Spain, and the UK, experimentally investigated whether prior exposure to healthy (vs. unhealthy) imagery influences consumers’ attitudes towards a plant-based protein product. Furtherm…

0303 health sciencesNutrition and Dietetics030309 nutrition & dieteticsConsumer researchPlant based04 agricultural and veterinary sciencesHealth consciousness040401 food scienceArousal03 medical and health sciences0404 agricultural biotechnologyFood choice questionnaireAttitudeImageryProduct (category theory)Health consciousnessPsychologyArousalPlant-proteinSocial psychologyFood Science
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Sensory exploration of the freshness sensation in plain yoghurts and yoghurt-like products

2013

WOS: 000324008600021 ; http://www.sciencedirect.com/science/article/pii/S0950329313001092; International audience; The term "freshness sensation" is used by consumers for characterizing some plain yoghurts and yoghurt-like products. This study consisted in an investigation of this sensation aiming at determining its underlying sensory attributes. First, two focus groups of consumers were conducted to open up the framework. A set of plain yoghurts and yoghurt-like products, both commercial and experimental, was then subjected to sensory analysis. The samples were sorted by means of a free sorting task, and further scored for the intensity of their freshness sensation and their liking, by 72 …

0303 health sciencesNutrition and Dietetics030309 nutrition & dieteticsFat content[ SDV.AEN ] Life Sciences [q-bio]/Food and Nutritionfood and beveragesSensory system04 agricultural and veterinary sciences040401 food scienceSensory analysisfreshness sensation03 medical and health sciences0404 agricultural biotechnologytemporal dominance of sensationsSensationFood scienceyoghurtfree sorting[SDV.AEN]Life Sciences [q-bio]/Food and NutritionpreferencesFlavorFood ScienceMathematicsFood Quality and Preference
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Dynamics of liking for flavoured crackers: Test of predictive value of a boredom test

1998

Abstract The principal aim of this study was to compare two experimental conditions for measuring the effect of repeated consumption on liking: a laboratory boredom test and a home use test. Another goal was to investigate the impact of perceived familiarity, appropriateness and complexity on the dynamics of liking. Two groups of consumers were recruited, one for each condition. Five variants of salty crackers, each with a different flavour, were tested. The laboratory condition did not show any difference in the dynamics of liking among the flavours. The home condition revealed a significant increase in liking for only one flavour. This increase could not be related to the level of complex…

0303 health sciencesNutrition and Dietetics030309 nutrition & dieteticsFlavour04 agricultural and veterinary sciencesBoredom[SDV.IDA] Life Sciences [q-bio]/Food engineeringHome use040401 food sciencePredictive valueTest (assessment)03 medical and health sciences0404 agricultural biotechnologyDynamics (music)[SDV.IDA]Life Sciences [q-bio]/Food engineeringmedicinemedicine.symptomPsychologyCORIANDRESocial psychologyComputingMilieux_MISCELLANEOUSFood Science
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Do vegetarians feel bad? Examining the association between eating vegetarian and subjective well-being in two representative samples

2020

Abstract Research on the relationship between vegetarianism and subjective well-being (SWB) has produced inconsistent results, which may partly be due to small sample sizes and divergent operationalizations of well-being. For these reasons, the present study aimed to thoroughly examine this association in two large representative samples from Germany (Study 1: N = 12,905, including 665 vegetarians) and Australia (Study 2: N = 15,532, including 383 vegetarians) using a consensual conceptualization of SWB (composed of an affective component, i.e., positive and negative affect, and a cognitive component, i.e., life satisfaction). Results of t-tests showed that vegetarians reported slightly hig…

0303 health sciencesNutrition and Dietetics030309 nutrition & dieteticsLife satisfactionSmall sampleCognition04 agricultural and veterinary sciences040401 food scienceLarge sample03 medical and health sciences0404 agricultural biotechnologyDiet typeSubjective well-beingAssociation (psychology)PsychologyFood ScienceDemographyFood Quality and Preference
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Internal and external mapping of preferences for commercial lager beers : comparison of hedonic ratings by consumers blind versus with knowledge of b…

2001

Abstract The individual preferences of 170 consumers in six categories of age (20s, 30s, 40s) and gender (men, women) for 24 domestic, imported or specialty lager beers, tasted first blind and then with knowledge of brand and price, were investigated by preference mapping techniques. Internal preference mapping revealed differences in the preferences of consumers, with some consumers preferring domestic or ice beers, and others preferring specialty or imported beers. Hedonic ratings changed significantly from the blind to the informed tasting condition, particularly for consumers in their twenties, thereby documenting the significant role of non-sensory variables in the formulation of a hed…

0303 health sciencesNutrition and Dietetics030309 nutrition & dieteticsSCIENCE DU CONSOMMATEURJudgementProduct testingPreference mappingAdvertising04 agricultural and veterinary sciences[SDV.IDA] Life Sciences [q-bio]/Food engineering040401 food scienceSensory analysisPreference03 medical and health sciences0404 agricultural biotechnology[SDV.IDA]Life Sciences [q-bio]/Food engineeringWine tastingPsychologyConsumer behaviourComputingMilieux_MISCELLANEOUSFood Science
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What are the sensory differences among coffees? Multi-panel analysis of variance and FLASH analysis

1998

International audience

0303 health sciencesNutrition and Dietetics030309 nutrition & dieteticsSensory system04 agricultural and veterinary sciencesVariance (accounting)[SDV.IDA] Life Sciences [q-bio]/Food engineering040401 food scienceSensory analysis03 medical and health sciencesFlash (photography)0404 agricultural biotechnologyPanel analysis[SDV.IDA]Life Sciences [q-bio]/Food engineeringStatisticsmedia_common.cataloged_instanceAnalysis of varianceEuropean unionComputingMilieux_MISCELLANEOUSFood ScienceDemographymedia_commonMathematicsFood Quality and Preference
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