What is effect size and why is it important?

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.

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

Sure! One common way to calculate effect size is using Cohen's d, which is the difference between two means divided by the pooled standard deviation.

What are the different types of effect sizes?

There are several types, including Cohen's d, Pearson's r, and odds ratios. Each serves different purposes depending on the data.

How does effect size relate to statistical significance?

Effect size provides context to statistical significance. A statistically significant result may not always indicate a large effect size, which is crucial for practical implications.

Where can I find more resources on effect size?

You can find resources in academic journals, statistics textbooks, and online courses that focus on research methods and statistics.