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KMID : 0380619940260010057
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Korean Journal of Food Science and Technology
1994 Volume.26 No. 1 p.57 ~ p.61
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Evaluation of Panel Performance by Analysis of Variance , Correlation Analysis and Principal Component Analysis
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신명곤/Shin, Myung Gon
홍성희/민봉기/김상숙/Hong, Sung Hie/Min, Bong Kee/Kim, Sang Sook
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Abstract
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Performance of panelists trained for cooked rice quality was evaluated using analysis of variance, correlation analysis, and principal component analysis. Each method offered different information. Results showed that panleists with high F ratios (p=0.05) did not always have high correlation coefficient (p=0.05) with mean values pooled from whole panel. The results of analysis of variance for the panelists whose performance were extremely good or extremely poor were consistent with those of correlation analysis. Outliers designated by principal component analysis were different from the panelists whose performance was defined as extremely good or extremely poor by analysis of variance and correlation analysis. The results of principal component analysis descriminated the panelists with different scoring range more than different scoring trends depending on the treatments. Our study suggested combination of analysis of variance and correlation analysis provided valid basis for screening panelists.
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