What is effect size and how do I report it?

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 for my study?

You can calculate effect size using various methods, such as Cohen's d for comparing two means or Pearson's r for correlation. The choice depends on your study design.

Can you give me an example of reporting effect size in a research paper?

Sure! You might say, 'The intervention group showed a significant improvement in test scores (M = 75, SD = 10) compared to the control group (M = 65, SD = 12), with a large effect size (Cohen's d = 1.0).'

What are the common mistakes to avoid when reporting effect size?

Common mistakes include not reporting confidence intervals, using inappropriate effect size measures, or failing to interpret the effect size in the context of the research.