When should I use effect size in my research?

What is effect size and why is it important?

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.

When should I report effect size in my studies?

You should report effect size when you want to provide context to your results, especially in fields like psychology or medicine, where understanding the impact of an intervention is crucial.

Can you give me examples of effect size measures?

Sure! Common measures include Cohen's d, Pearson's r, and odds ratios. Each serves different types of data and research questions.

How do I interpret the effect size values?

Interpreting effect size values depends on the context, but generally, small, medium, and large effects are often categorized as 0.2, 0.5, and 0.8 for Cohen's d, respectively.