What is the importance of effect sizes in research?

What is the importance of effect sizes in research?

Effect sizes provide a quantitative measure of the magnitude of a phenomenon, helping to understand the practical significance of research findings.

Can you give me an example of how effect sizes are used?

Sure! In a clinical trial, if a new drug reduces symptoms by a large effect size, it indicates that the drug has a meaningful impact compared to a placebo.

How do effect sizes differ from p-values?

P-values indicate whether an effect exists, while effect sizes measure the strength of that effect, providing more context to the results.

Why should researchers report effect sizes?

Reporting effect sizes allows for better comparison across studies and helps in understanding the real-world relevance of the findings.

What are some common types of effect sizes?

Common types include Cohen's d, Pearson's r, and odds ratios, each serving different types of data and research designs.