What are the different types of effect size?
Effect size is a quantitative measure of the magnitude of a phenomenon. Common types include Cohen's d, Pearson's r, and odds ratio.
Can you explain Cohen's d?
Cohen's d measures the difference between two means in terms of standard deviation. It's often used in t-tests.
What about Pearson's r?
Pearson's r assesses the strength and direction of a linear relationship between two variables, ranging from -1 to 1.
How is odds ratio different from these?
Odds ratio compares the odds of an event occurring in two groups, commonly used in case-control studies.
Are there any other types of effect size?
Yes, other types include eta-squared and omega-squared, which are used in ANOVA to measure variance explained.
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