It is possible to directly calculate effect sizes from experimental social psychology using correlational metrics.

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Correlational metrics, such as Pearson's correlation coefficient, can be used to calculate effect sizes in experimental social psychology. This involves calculating the correlation between the independent variable and the dependent variable and transforming the correlation coefficient into an effect size measure, such as Cohen's d. However, it is important to note that this method may not always be appropriate or accurate, especially if the relationship between the variables is non-linear or if there are confounding variables present.

It Is Possible to Directly Calculate Effect Sizes from Experimental