When two or more univariate population means are compared, the proportion of variation in the dependent variable accounted for by population group membership is eta-squared. This effect size can be generalized by using multivariate measures of association, based on the multivariate analysis of variance (MANOVA) statistics, to establish whether population mean vectors are practically significant different. In the case of random samples from populations, approximate and asymptotically unbiased estimators of these effect sizes as well as confidence intervals are suggested under the assumptions of equal covariance matrices and normality. Statistical properties of these estimators are studied by Monte Carlo simulations. The accuracy and spread o...
variance ABSTRACT. One method of combining the results of a series of two-group experiments involves...
A framework for comparing normal population means in the presence of heteroscedasticity and outliers...
Researchers are strongly encouraged to accompany the results of statistical tests with appropriate e...
Current statistical methods for estimation of parametric effect sizes from a series of experiments a...
Includes bibliographical references (pages 15-17)Multivariate analysis of variance (MANOVA) is a,tec...
Although dissatisfaction with the limitations associated with tests for statistical significance has...
In the social and behavioral sciences, it is recommended that effect sizes and their sampling varian...
In the social and behavioral sciences, it is recommended that effect sizes and their sampling varian...
In the social and behavioral sciences, it is recommended that effect sizes and their sampling varian...
In the social and behavioral sciences, it is recommended that effect sizes and their sampling varian...
Multivariate analysis of variance (MANOVA) is a powerful and versatile method to infer and quantify ...
In the social and behavioral sciences, it is recommended that effect sizes and their sampling varian...
"Noted for its comprehensive coverage, this greatly expanded new edition now covers the use of univa...
It is well known that the ANOVA estimator of the random effects variance component in one-way random...
The accuracy and precision of the estimation of population effect size was evaluated using standardi...
variance ABSTRACT. One method of combining the results of a series of two-group experiments involves...
A framework for comparing normal population means in the presence of heteroscedasticity and outliers...
Researchers are strongly encouraged to accompany the results of statistical tests with appropriate e...
Current statistical methods for estimation of parametric effect sizes from a series of experiments a...
Includes bibliographical references (pages 15-17)Multivariate analysis of variance (MANOVA) is a,tec...
Although dissatisfaction with the limitations associated with tests for statistical significance has...
In the social and behavioral sciences, it is recommended that effect sizes and their sampling varian...
In the social and behavioral sciences, it is recommended that effect sizes and their sampling varian...
In the social and behavioral sciences, it is recommended that effect sizes and their sampling varian...
In the social and behavioral sciences, it is recommended that effect sizes and their sampling varian...
Multivariate analysis of variance (MANOVA) is a powerful and versatile method to infer and quantify ...
In the social and behavioral sciences, it is recommended that effect sizes and their sampling varian...
"Noted for its comprehensive coverage, this greatly expanded new edition now covers the use of univa...
It is well known that the ANOVA estimator of the random effects variance component in one-way random...
The accuracy and precision of the estimation of population effect size was evaluated using standardi...
variance ABSTRACT. One method of combining the results of a series of two-group experiments involves...
A framework for comparing normal population means in the presence of heteroscedasticity and outliers...
Researchers are strongly encouraged to accompany the results of statistical tests with appropriate e...