You should use correlated designs rather than independent


You should use correlated designs (rather than independent designs) in all of the following situations EXCEPT:

When you only have a few participants

When you wish to limit variance based on key participant characteristics that are relevant to your independent variable

When you are hoping to avoid MR SMITH confounds

When you want to see how repeated exposure to the treatment influences participants

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Mathematics: You should use correlated designs rather than independent
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