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 indicate the size of that difference.
What does a small, medium, and large effect size mean?
A small effect size (around 0.2) suggests a minor difference, a medium effect size (around 0.5) indicates a moderate difference, and a large effect size (0.8 and above) shows a significant difference.
How do I calculate effect size for my study?
To calculate effect size, you can use formulas specific to your data type, such as Cohen's d for comparing means or Pearson's r for correlation. You can also use statistical software for assistance.
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