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Effect of correlation on power in within-subjects versus between-subjects designs
power within-subjects versus subjects designs
2016/3/16
It is well known that the two dependent-samples t test (and a within-subjects design in general) is typically more powerful than the two independent samples t test (a between-subjects design), and tha...
The simple difference formula:an approach to teaching nonparametric correlation
simple difference formula nonparametric correlation
2016/3/16
Although teaching effect sizes is important, many statistics texts omit the topic for the Mann-Whitney U test and the Wilcoxon signed-rank test. To address this omission, this paper introduces the sim...
CANONICAL ANALYSIS:SOME RELATIONS BETWEEN CANONICAL CORRELATION,FACTOR ANALYSIS,DISCRIMINANT FUNCTION ANALYSIS,AND SCALING THEORY
CANONICAL ANALYSIS SOME RELATIONS BETWEEN CANONICAL CORRELATION FACTOR ANALYSIS DISCRIMINANT FUNCTION ANALYSIS SCALING THEORY
2015/7/24
The theory of canonical correlation (Hotelling, 1935, 1936) was originally developed to extract the most predictable criterion composite when several criteria and several predictors are available. The...