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Peer reviewedCohen, Jacob; Nee, John C. M. – Educational and Psychological Measurement, 1984
Two measures of association between sets of variables have been proposed for set correlation: the proportion of generalized variance, and the proportion of additionive variance. Because these measures are strongly positively biased, approximate expected values and estimators of these measures are derived and checked. (Author/BW)
Descriptors: Correlation, Estimation (Mathematics), Mathematical Formulas, Matrices
Peer reviewedMagee, Kevin N.; Overall, John E. – Educational and Psychological Measurement, 1992
Formulae for estimating individual rater reliabilities from analysis of treatment effects are presented and evaluated. Monte Carlo methods illustrate the formulae. Results indicate that large sample sizes, large true treatment effects, and large differences in the actual reliabilities of raters are required for the approach to be useful. (SLD)
Descriptors: Effect Size, Estimation (Mathematics), Experimental Groups, Mathematical Formulas
