How do I interpret effect size in research?

What is effect size and why is it important in research?

Effect size is a quantitative measure of the magnitude of a phenomenon. It's important because it helps to understand the practical significance of research findings, beyond just statistical significance.

How do I calculate effect size?

Effect size can be calculated using various methods, such as Cohen's d for comparing two means or Pearson's r for correlation. The formula depends on the type of data you have.

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

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

Can effect size be used in all types of research?

Effect size is versatile and can be used in various research designs, including experimental, observational, and correlational studies, but the method of calculation may vary.