Effect size is really important when looking at the results of psychological research.
It helps us understand how big or small an effect is.
Unlike p-values, which just tell us if something is significant or not, effect size shows us how meaningful the findings are in everyday life.
Magnitude of Effect: For example, if a therapy helps reduce depression scores, an effect size of means it has a big impact.
Comparing Studies: By standardizing the results, researchers can compare effects from different studies or groups of people.
Knowing about effect size helps readers see how relevant and useful research findings are in real life.
Effect size is really important when looking at the results of psychological research.
It helps us understand how big or small an effect is.
Unlike p-values, which just tell us if something is significant or not, effect size shows us how meaningful the findings are in everyday life.
Magnitude of Effect: For example, if a therapy helps reduce depression scores, an effect size of means it has a big impact.
Comparing Studies: By standardizing the results, researchers can compare effects from different studies or groups of people.
Knowing about effect size helps readers see how relevant and useful research findings are in real life.