A special case of the homogeneity of effect size test, as applied to pairwise comparisons of standardized mean differences, was evaluated. Procedures for comparing pairs of pretest to posttest effect sizes, as well as pairs of treatment versus control group effect sizes, were examined. Monte Carlo simulation was used to generate Type I error rates and power values for tests of the differences in independent effect sizes based on both the "g " and "d " methods. Type I error rate was evaluated by crossin
This dissertation research is to understand the statistical biases in estimating parameters in linea...
A Monte Carlo study was conducted to determine Types I and II error rates of the Schmidt and Hunter ...
Current statistical methods for estimation of parametric effect sizes from a series of experiments a...
In a Monte Carlo analysis of meta-analytic data, Type I and Type II error rates were compared for fo...
In a Monte Carlo analysis of meta-analytic data, Type I and Type II error rates were compared for fo...
The test of homogeneity developed by L. V. Hedges (1982) for the fixed effects model is frequently u...
This article presents a general set of procedures for comparing the effect sizes of two or more inde...
Meta-analysis is a statistical methodology that combines the outcomes of several independent studies...
variance ABSTRACT. One method of combining the results of a series of two-group experiments involves...
After the experimenter defines the statistical hypothesis and controls the type I error rate, the ch...
Type I error control and statistical power of four methods of testing group differences on an ordere...
Two different approaches have been used to derive measures of effect size. One approach is based on ...
The accuracy and precision of the estimation of population effect size was evaluated using standardi...
Master of ScienceDepartment of StatisticsPaul I. NelsonA Bonferroni and an ordered P-value solution ...
This dissertation research is to understand the statistical biases in estimating parameters in linea...
This dissertation research is to understand the statistical biases in estimating parameters in linea...
A Monte Carlo study was conducted to determine Types I and II error rates of the Schmidt and Hunter ...
Current statistical methods for estimation of parametric effect sizes from a series of experiments a...
In a Monte Carlo analysis of meta-analytic data, Type I and Type II error rates were compared for fo...
In a Monte Carlo analysis of meta-analytic data, Type I and Type II error rates were compared for fo...
The test of homogeneity developed by L. V. Hedges (1982) for the fixed effects model is frequently u...
This article presents a general set of procedures for comparing the effect sizes of two or more inde...
Meta-analysis is a statistical methodology that combines the outcomes of several independent studies...
variance ABSTRACT. One method of combining the results of a series of two-group experiments involves...
After the experimenter defines the statistical hypothesis and controls the type I error rate, the ch...
Type I error control and statistical power of four methods of testing group differences on an ordere...
Two different approaches have been used to derive measures of effect size. One approach is based on ...
The accuracy and precision of the estimation of population effect size was evaluated using standardi...
Master of ScienceDepartment of StatisticsPaul I. NelsonA Bonferroni and an ordered P-value solution ...
This dissertation research is to understand the statistical biases in estimating parameters in linea...
This dissertation research is to understand the statistical biases in estimating parameters in linea...
A Monte Carlo study was conducted to determine Types I and II error rates of the Schmidt and Hunter ...
Current statistical methods for estimation of parametric effect sizes from a series of experiments a...