What are some examples of effect sizes in research?

What are some examples of effect sizes in research?

Effect sizes quantify the strength of a relationship or the magnitude of an effect. Common examples include Cohen's d, Pearson's r, and odds ratios.

Can you explain Cohen's d with an example?

Sure! Cohen's d measures the difference between two means. For instance, if the average test score of Group A is 80 and Group B is 70, Cohen's d would indicate the effect size of that difference.

What does a small, medium, and large effect size mean?

A small effect size (around 0.2) suggests a weak relationship, a medium effect size (around 0.5) indicates a moderate relationship, and a large effect size (0.8 or higher) shows a strong relationship.

How do I calculate Pearson's r?

Pearson's r is calculated by dividing the covariance of the two variables by the product of their standard deviations. It ranges from -1 to 1, indicating the strength and direction of a linear relationship.