This article presents a general set of procedures for comparing the effect sizes of two or more independent studies. The procedures include a method for calculating the approximate significance level for the heterogeneity of effect sizes of studies and a method for calculating the approximate significance level of a contrast among the effect sizes. Although the focus is on effect size as measured by the standardized difference between the means (d) defined as (Mi — M-^/S, the procedures can be applied to any measure of effect size having an estimated variance. This extension is illustrated with effect size measured by the difference between proportions.Psycholog
In this article, I discuss measures of effect size for two-group comparisons where data are not appr...
Effect sizes are the currency of psychological research. They quantify the results of a study to ans...
Magnitude of effect (ME) statistics are an important alternative to statistical significance. Why me...
Two different approaches have been used to derive measures of effect size. One approach is based on ...
Although dissatisfaction with the limitations associated with tests for statistical significance has...
Researchers in the field of psychology often face the situation that the statistical significance de...
In this article we present a general set of meta-analytic procedures for combining and comparing res...
How the magnitude of an experimental effect may be measured has been a matter of concern for at leas...
Effect sizes are the most important outcome of empirical studies. Most articles on effect sizes high...
Effect sizes are the most important outcome of empirical studies. Most articles on effect sizes high...
This article describes procedures for presenting standardized measures of effect size when contrasts...
The Publication Manual of the American Psychological Association (American Psychological Association...
The Publication Manual of the American Psychological Association (American Psychological Association...
This study examined the statistical consequences of employing various methods of computing and cumul...
Calculating and reporting appropriate measures of effect size are becoming standard practice in psyc...
In this article, I discuss measures of effect size for two-group comparisons where data are not appr...
Effect sizes are the currency of psychological research. They quantify the results of a study to ans...
Magnitude of effect (ME) statistics are an important alternative to statistical significance. Why me...
Two different approaches have been used to derive measures of effect size. One approach is based on ...
Although dissatisfaction with the limitations associated with tests for statistical significance has...
Researchers in the field of psychology often face the situation that the statistical significance de...
In this article we present a general set of meta-analytic procedures for combining and comparing res...
How the magnitude of an experimental effect may be measured has been a matter of concern for at leas...
Effect sizes are the most important outcome of empirical studies. Most articles on effect sizes high...
Effect sizes are the most important outcome of empirical studies. Most articles on effect sizes high...
This article describes procedures for presenting standardized measures of effect size when contrasts...
The Publication Manual of the American Psychological Association (American Psychological Association...
The Publication Manual of the American Psychological Association (American Psychological Association...
This study examined the statistical consequences of employing various methods of computing and cumul...
Calculating and reporting appropriate measures of effect size are becoming standard practice in psyc...
In this article, I discuss measures of effect size for two-group comparisons where data are not appr...
Effect sizes are the currency of psychological research. They quantify the results of a study to ans...
Magnitude of effect (ME) statistics are an important alternative to statistical significance. Why me...