What is effect size and how do I calculate it?
Effect size is a quantitative measure of the magnitude of a phenomenon. You can calculate it using various methods depending on your data.
What are the different types of effect size?
Common types include Cohen's d, Pearson's r, and odds ratios. Each serves different purposes based on the data type.
Can you show me how to calculate Cohen's d?
Sure! Cohen's d is calculated by taking the difference between two means and dividing it by the pooled standard deviation.
What is a good effect size value?
Generally, a small effect size is around 0.2, medium is 0.5, and large is 0.8. However, context matters!
How does effect size relate to statistical significance?
Effect size provides insight into the practical significance of results, while statistical significance only indicates whether an effect exists.
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