What are some common misconceptions about effect sizes?

What are some common misconceptions about effect sizes?

Many people think effect sizes are only relevant in large samples, but they are important in all sample sizes.

Can you explain why effect sizes matter in research?

Effect sizes provide a measure of the strength of a relationship or the magnitude of an effect, beyond just statistical significance.

Do effect sizes vary between different fields of study?

Yes, effect sizes can vary significantly across fields, as different disciplines have different norms for what constitutes a 'large' effect.

How can 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.

What is a common mistake researchers make regarding effect sizes?

A common mistake is interpreting effect sizes without considering the context of the study, such as sample size and variability.