What is the importance of effect size?
An example of an AI chatbot conversation about the significance of effect size in research.
Can you explain what effect size is?
Effect size is a quantitative measure of the magnitude of a phenomenon. It helps to understand the strength of a relationship or the size of a difference.
Why is effect size important in research?
Effect size is crucial because it provides context to statistical significance, helping researchers understand the practical implications of their findings.
How do I calculate effect size?
Effect size can be calculated using various methods, such as Cohen's d for comparing two means or Pearson's r for correlation.
Can you give an example of effect size in a study?
Sure! In a study comparing two teaching methods, an effect size of 0.8 would indicate a large difference in student performance between the two methods.
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