What are some examples of effect size in research?
An example of an AI chatbot conversation about effect size in research studies.
What are some examples of effect size in research?
Effect size is a quantitative measure of the magnitude of a phenomenon. Common examples include Cohen's d, Pearson's r, and odds ratios.
Can you explain Cohen's d with an example?
Sure! Cohen's d measures the difference between two means. For instance, if the average test score of Group A is 80 and Group B is 70, Cohen's d would quantify how large that difference is.
What does a small, medium, and large effect size mean?
A small effect size (around 0.2) indicates a minor difference, medium (around 0.5) suggests a moderate difference, and large (0.8 or more) indicates a significant difference between groups.
How is effect size used in meta-analysis?
In meta-analysis, effect size allows researchers to combine results from different studies, providing a clearer overall picture of the effect being studied.
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