How can the effect size in ANOVA be measured, and why is it important to report alongside the F-statistic and p-value?
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it provides a more complete understanding of the magnitude and practical significance of the findings, going beyond simply identifying statistical significance
Effect size can be measured using eta-squared (η²) or omega-squared (ω²), indicating the proportion of variance explained by the independent variable.
It is important to report because it provides information on the practical significance of the results, not just the statistical significance.