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Oct 25, 2017. PRE Choices – esp Gamma & Lambda. All are based on some sort of standard error. ▫. The difference is the proportional reduction in error.
Dec 6, 2006. PROPORTIONAL REDUCTION OF ERROR (P-R-E) MEASURES OF. for nominal, Pearson's r-squared for interval, and gamma for ordinal.
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Lambda is defined as the proportional reduction in error of predic- tion as a result of using the information concerning the second variable. In this case, the.
Measures of Proportional Reduction in Predictive Error (crosstabulations algorithms). Define λY|X as the proportion of relative error in predicting an individual's Y category that can be eliminated by. Gamma (crosstabulations algorithms).
zThe absolute value of gamma is the proportional reduction of error when using knowledge of concordance rather than a random choice. zIf variables are independent,
PROPORTIONAL REDUCTION OF ERROR (P-R-E) MEASURES OF ASSOCIATION:. and gamma for ordinal. LAMBDA:. Reduction in error = errors before.
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Somer's d is a Proportional Reduction in Error (PRE) measure so it is interpreted. symmetric measures of association, with gamma being the most widely used.
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