# What is ?2?

**η2**is a measure of effect size and reflects the percentage of the variance in the dependent variable explained by the independent variables in a sample.

**η2**is calculated from the sum of squares (SS) between groups divided by the total SS (SSbetween/SStotal=

**η2**).

Similarly, you may ask, what is ETA in statistics?

**Eta**-squared is commonly used in ANOVA and t test designs as an index of the proportion of variance attributed to one or more effects. **Eta**-squared quantifies the percentage of variance in the dependent variable (Y) that is explained by one or more independent variables (X).

Also, how do you calculate partial eta squared? **Partial Eta Squared**. **Partial eta squared** is the ratio of variance associated with an effect, plus that effect and its associated error variance. The **formula** is similar to **eta**^{2}: **Partial eta**^{2} = SS_{effect} / SS_{effect} + SS_{error}.

Similarly, what is the symbol for eta squared?

Well, there's several measures of effect size that tell us just that. One that's often used is (partial) **eta squared**, denoted as η^{2} (η is the Greek letter **eta**).

Can an effect size be greater than 1?

If Cohen's d is **bigger than 1**, the difference between the two means is **larger than one** standard deviation, anything **larger than** 2 means that the difference is **larger than** two standard deviations.