This training on Measuring & Reporting Descriptive Panel Performance first introduces numerical indicators designed to capture the desirable attributes of descriptive data collected by a trained sensory panel (agreement, repeatability and discrimination power). A suite of statistical tools and visual aids are used to depict and quantify the performance of the panel.
Real-life case studies are used to illustrate the principles of the statistical tools and the insights that may be extracted from the data.
- Definition of Performance Measurement Criteria
- Graphical Exploratory Tools & Descriptive Statistics
- Use of ANOVA to Measure Panel Performance
- Use of the Principal Component Analysis (PCA) to Visually Assess Performance
- Case Studies
- Summary
Professionals using descriptive sensory data in their work and who want to learn practical ways to measure the performance of sensory panelists.
Knowledge of basic principles of descriptive analysis is recommended : Fundamental Tools in Statistics. Moreover, working knowledge of ANOVA and the multivariate analysis PCA is also recommended.
Upon completion of this training, participants will be able:
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- To know which criteria are used to assess panel performance
- To know which statistical tools are relevant for measuring the criteria
- To understand how to appropriately prepare and format the data for each analysis
- Conduct a sensory panel performance study
- To read and interpret numeric and graphical software output
- To report and communicate the results of the analyses
- Take appropriate action to correct any problems detected
Recommended Duration: 1 day(s)
Course Materials:
TBD
Case Studies:
N/A