What are some common misconceptions about effect size?

What are some common misconceptions about effect size?

Many people think effect size is the same as statistical significance, but they are different concepts.

Can you explain how effect size differs from p-values?

Sure! P-values indicate whether an effect exists, while effect size measures the magnitude of that effect.

Is a larger effect size always better?

Not necessarily. A large effect size can be misleading if the sample size is small or if the context is ignored.

How should I interpret effect size in my research?

Effect size should be interpreted in the context of your study, considering both practical significance and the research field.