What are effect sizes and how do I compare them?

What are effect sizes and how do I compare them?

Effect sizes are quantitative measures of the magnitude of a phenomenon. They help in understanding the strength of relationships or differences in research. To compare effect sizes, you can use standardized measures like Cohen's d or Pearson's r.

Can you explain Cohen's d and how it's calculated?

Cohen's d is a measure of effect size that indicates the standardized difference between two means. It's calculated by taking the difference between the two group means and dividing it by the pooled standard deviation.

What is a good threshold for interpreting Cohen's d?

A common guideline is: 0.2 is a small effect, 0.5 is a medium effect, and 0.8 is a large effect. However, context matters!

How does Cohen's d compare to other effect size measures?

Cohen's d is specifically for comparing two means, while other measures like Pearson's r assess correlation. Each has its own context and application.