Difference between revisions of "Effect size"
TaniaNicole (talk | contribs) (What is effect size?) |
TaniaNicole (talk | contribs) (What is effect size?) |
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| − | + | Knowing that the relationship is significant does not tell us whether this effect is strong or weak. So we need to calculate an effect size as well as the t-test. | |
Muijs, D. (2016).''Doing Quantitative Research in Education With SPSS'' (2nd ed.). Sage Publications. | Muijs, D. (2016).''Doing Quantitative Research in Education With SPSS'' (2nd ed.). Sage Publications. | ||
Revision as of 14:26, 20 April 2022
Effect size for ANOVA
Partial Eta Squared
Trivial: <0.2 Small: 0.2-0.49 Moderate: 0.5-0.79 Large: >0.8
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Knowing that the relationship is significant does not tell us whether this effect is strong or weak. So we need to calculate an effect size as well as the t-test.
Muijs, D. (2016).Doing Quantitative Research in Education With SPSS (2nd ed.). Sage Publications.
An effect size is a way to quantify the difference between two groups.
While a p-value can tell us whether or not there is a statistically significant difference between two groups, an effect size can tell us how large this difference actually is. In practice, effect sizes are much more interesting and useful to know than p-values.
Bobbit, Z. (2020, January 1). Effect Size: What It Is and Why It Matters. Statistics. Simplified. Statology. https://www.statology.org/effect-size/
contributed by Tania Nicole Sutherland
