AGREEMENT AND RELIABILITY ASSESSMENTS FOR PERFORMANCE OF SENSORY DESCRIPTIVE PANEL
Оценка согласованности и надежности работы сенсорной описательной панели
2003-03-01
SCID: 54.1/8pxcg9ma
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agreement coefficientconfidence intervalsrating quality spacereliability coefficientsensory descriptive panel
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Abstract (AI)
ABSTRACT In the present paper, two indices, agreement coefficient and reliability coefficient, are introduced and proposed to measure quality of ratings data given by a sensory descriptive panel. Agreement coefficient describes variation of ratings for a single target (product), whereas reliability coefficient reflects discrimination ability of a descriptive panel for a sample of products. The two indices, which profoundly describe inherent characteristics of ratings data, are based on classical reliability theory and recent advances in psychological measurement. In the paper, estimates and tests for the two indices are provided. Confidence intervals for the indices are derived. A space with the two indices as dimensions, which is referred as rating quality space, gives visual presentation of performances of a descriptive panel or individual panelists. Numerical examples illustrate the use and interpretation of the indices.
Key Findings
1
A two-dimensional rating quality space visually represents the performance of entire sensory panels and individual panelists.
2
Both coefficients are grounded in classical reliability theory and recent advances in psychological measurement.
3
It proposes a reliability coefficient to measure a descriptive panel’s ability to discriminate among multiple products.
4
The paper introduces an agreement coefficient to quantify variation in sensory ratings for a single product.
5
The paper provides estimation procedures, statistical tests, and confidence intervals for both indices.
Research Object
Sensory descriptive panel ratings of a sample of products
Research Subject
Rating-data quality and panel performance characterized by agreement and reliability coefficients, including their estimation, testing, confidence intervals, and joint visualization
Publication Details
Publication Date
2003-03-01
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