Binary Data, Multivariate

Johnson, Wesley O.

doi:10.1002/0471667196.ess0686

Cited by 1 publication

(2 citation statements)

References 52 publications

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“…Once the training has been completed and the assessors were able to recognize at least 70% of the control samples, the panel analyzed six samples by triplicate, in balanced order. Scoring data for each assessor and the entire panel were analyzed using analysis of variance (Johnson, 2004). Significant variation between assessors were searched to prove the presence of bias, i.e., one or more of them give consistently higher scores or lower than the others, identifying assessors that deviate from the expected performance, which must to continue their training.…”

Section: Assessment and Monitoring Of Assessorsmentioning

confidence: 99%

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Development of a Quantitative Descriptive Sensory Honey Analysis: Application to Eucalyptus and Clover Honeys

Ciappini¹,

Vito²,

Gatti³

et al. 2013

AJFST

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Sensory analysis of bee honey is an important tool for determining its floral origin, for subsequent quality control practices and which ultimately will determine consumer preferences towards this product. A procedure for the selection, training and monitoring of assessors was applied. Unifloraleucalyptus and clover honeys produced in Argentine were assessed using descriptive quantitative analysis. The sensory profiles differentiated clover honey (light, fruity and floral flavor with low intensity) from eucalyptus honey (more intense flavors, vegetable notes, aromatic, warm, small crystals with a high tendency to quick crystallization in mass). The analysis by principal components showed higher intensities of sweetness and smell for eucalyptus honeys and graininess for clover honeys. These appropriate indicators of quality provide a differentiating tool to increase the added value of these honeys.

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Section: Assessment and Monitoring Of Assessorsmentioning

confidence: 99%

“…For each characteristic, one can calculate the average and standard deviation obtained on repetition of the same sample by each assessor and the average panel were calculated. To compare samples together, the results were examined statistically by a proper technique of multiple variance (Johnson, 2004).…”

Section: Analysis Of Datamentioning

confidence: 99%