What is the importance of effect size in research?
An example of an AI chatbot conversation about the significance of effect size in research studies.
What is the importance of effect size in research?
Effect size quantifies the strength of a phenomenon. It's crucial for understanding the practical significance of research findings.
Can you give me an example of effect size?
Sure! In a study comparing two teaching methods, an effect size of 0.5 indicates a moderate difference in student performance.
How does effect size differ from p-value?
While p-value indicates whether an effect exists, effect size measures the magnitude of that effect, providing more context.
Why should researchers report effect size?
Reporting effect size helps others understand the practical implications of the research, beyond just statistical significance.
What are common measures of effect size?
Common measures include Cohen's d, Pearson's r, and odds ratios, each suited for different types of data.
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