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Activity Number: 414
Type: Topic Contributed
Date/Time: Tuesday, August 11, 2015 : 2:00 PM to 3:50 PM
Sponsor: Business and Economic Statistics Section
Abstract #317383 View Presentation
Title: Evaluation of Wine Judge Performance Through Three Characteristics: Bias, Discrimination, and Variation
Author(s): Jing Cao* and Lynne Stokes
Companies: and Southern Methodist University
Keywords: Bayesian model ; ordinal data analysis ; wine competition ; rater agreement
Abstract:

Judge performance is a critical component of a wine competition's success. A number of studies have shown that wine judges may differ considerably in their opinions. In this paper, we have conducted an in-depth examination of wine judge performance at a U.S. wine competition. Three characteristics of judge's performance are examined: bias, discrimination ability, and variation. Based on the analysis, we can identify the judges who had discrepant scoring patterns and can gain insight into which of the three characteristics cause particular judges to disagree. The evaluation of wine judge performance through these three characteristics may provide useful information for training them to have consistent performance and in assisting competition coordinators in judge selection.


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