What are effect sizes and how do I report them?
An example of an AI chatbot conversation about reporting effect sizes in research.
What are effect sizes and how do I report them in my research?
Effect sizes quantify the strength of a relationship or the magnitude of an effect in your data. You can report them using various statistics like Cohen's d, Pearson's r, or odds ratios.
Can you explain Cohen's d and when to use it?
Cohen's d measures the difference between two group means in terms of standard deviation units. It's commonly used in t-tests to indicate the effect size.
How do I interpret the value of Cohen's d?
A Cohen's d of 0.2 is considered a small effect, 0.5 a medium effect, and 0.8 a large effect. It helps you understand the practical significance of your findings.
Are there guidelines for reporting effect sizes in publications?
Yes, most journals recommend reporting effect sizes along with p-values to provide a clearer picture of your results. Check the specific guidelines of the journal you're submitting to.
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