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Trafimow, David – Educational and Psychological Measurement, 2018
Because error variance alternatively can be considered to be the sum of systematic variance associated with unknown variables and randomness, a tripartite assumption is proposed that total variance in the dependent variable can be partitioned into three variance components. These are variance in the dependent variable that is explained by the…
Descriptors: Statistical Analysis, Correlation, Experiments, Effect Size
Bessudnov, Alexey; Makarov, Alexey – International Studies in Sociology of Education, 2015
Gender differences in mathematical performance have received considerable scrutiny in the fields of sociology, economics and psychology. We analyse a large data-set of high school graduates who took a standardised mathematical test in Russia in 2011 (n = 738,456) and find no substantial difference in mean test scores across boys and girls.…
Descriptors: Foreign Countries, Gender Differences, Mathematics Achievement, Performance Based Assessment

May, Kim; Hittner, James B. – Journal of Experimental Education, 1997
A Monte Carlo evaluation of four test statistics for comparing dependent zero-order correlations was conducted with four sample sizes and three population distributions. Results indicate that choice of optimal test statistic depends on sample size and distribution, and predictor intercorrelation and effect size or magnitude of the…
Descriptors: Correlation, Effect Size, Monte Carlo Methods, Predictor Variables

Parshall, Cynthia G.; Kromrey, Jeffrey D. – Educational and Psychological Measurement, 1996
Power and Type I error rates were estimated for contingency tables with small sample sizes for the following four types of tests: (1) Pearson's chi-square; (2) chi-square with Yates's continuity correction; (3) the likelihood ratio test; and (4) Fisher's Exact Test. Various marginal distributions, sample sizes, and effect sizes were examined. (SLD)
Descriptors: Chi Square, Comparative Analysis, Effect Size, Estimation (Mathematics)