What are effect sizes and why are they important in research?

What are effect sizes and why are they important in research?

Effect sizes quantify the strength of a relationship or the magnitude of an effect in research. They help in understanding the practical significance of findings.

Can you give me an example of how to calculate an effect size?

Sure! One common method is Cohen's d, which is calculated by taking the difference between two group means and dividing it by the pooled standard deviation.

What is considered a small, medium, and large effect size?

Cohen suggested that a small effect size is around 0.2, a medium effect size is about 0.5, and a large effect size is 0.8 or higher.

How do effect sizes differ from p-values?

Effect sizes measure the magnitude of an effect, while p-values indicate the statistical significance of the results. They serve different purposes.

Why should researchers report effect sizes?

Reporting effect sizes provides a clearer understanding of the results' practical implications, beyond just statistical significance.