Partial eta squared represents what in analysis?

Partial eta squared represents what in analysis?

• A. The proportion of variance explained by a variable when excluding other variables.
• B. The proportion of total variance explained by a variable.
• C. The variance explained by a variable after removing error.
• D. The correlation between a variable and the outcome controlling for others.

Answer: (A)

Partial eta squared is an effect size that tells you how much of the variance in the outcome is attributable to a given factor after removing the variance explained by the other factors in the model. In other words, it represents the proportion of the remaining (partial) variance explained by that variable once the influences of the other variables have been accounted for. This is why it’s computed as the sum of squares for the effect divided by that same sum plus the error term (SSeffect / (SSeffect + SSError)). It differs from eta squared, which uses the total variance in the denominator and thus isn’t conditioning on other variables. The option describing the proportion of variance explained by a variable when excluding other variables best captures this idea.

Partial eta squared is an effect size that tells you how much of the variance in the outcome is attributable to a given factor after removing the variance explained by the other factors in the model. In other words, it represents the proportion of the remaining (partial) variance explained by that variable once the influences of the other variables have been accounted for. This is why it’s computed as the sum of squares for the effect divided by that same sum plus the error term (SSeffect / (SSeffect + SSError)). It differs from eta squared, which uses the total variance in the denominator and thus isn’t conditioning on other variables. The option describing the proportion of variance explained by a variable when excluding other variables best captures this idea.