Explain what Cohen's d and r^2 measure when calculated for a t test

Edward Hendricks

Edward Hendricks

Answered question

2022-08-12

Explain what Cohen's d and r 2 measure when calculated for a t test

Answer & Explanation

optativaspv

optativaspv

Beginner2022-08-13Added 14 answers

Cohen's d is an effect size used for the standardized difference between two means to be indicated. It can be used to complement the reporting of t-test and ANOVA data, for example. In the meta-analysis, it is often used extensively.
Cohen's d can be calculated as the difference between the means divided by the pooled SD:
mean difference standart deviation o r M 2 M 1 pooled standart deviation
The r 2 is known as the coefficient of determination. The r 2 measures how much variation of the dependent variable is explained by the independent variable. So, 0.1 r 2 means that our model explains 10% of the variation within the data. The greater R-square the better the model.
The r 2 is widely used to measure the accuracy of the regression model.

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