Sentence examples for measuring effect size from inspiring English sources

While a number of alternate metrics have been suggested for measuring effect size, including standardized mean differences and odds ratios [3], [4], historically, one of the more popular measures of effect has been the correlation coefficient [5], [6], [7], [8], [9], [10].

In fact, even nonparametric techniques such as Statistical non-Parametric Mapping (SnPM) use the mean-based t statistic to measure effect size.

Relative risk was calculated to measure effect size and direction.

The Cohen's d was calculated to measure effect size.

There are many ways to measure effect size for gene g in individual study [ 25].

For continuous outcome variables, the mean difference will be used to measure effect size.

The adjusted odds ratio and its confidence interval were calculated to measure effect size.

The final interpretation should measure effect size and precision separately, while considering bias and even correcting for it [ 7].

The ratio of the observed proportion of symptom pairs relative to the product of the marginal proportion of each symptom is defined as the excess probability ratio which measures effect size.

We measured effect sizes (item on domain scores) to reflect the increase in domain score per unit increase in item score.

Meta-analyses that focused only on ADHD adults, were published before 2004, or did not measure effect sizes in terms of Cohen's d are not included.