![]() ![]() ![]() ![]() Of course, these tests are not orthogonal to the paired t-test, so I recommend adjusting the α-level accordingly. You can then repeat any hypothesis tests of interest in both workspaces separately. If you are interested in examining hypotheses in the data separately for each session, I would recommend that you create one workspace with the pre-, and one workspace with the post-intervention data. There are no statistics related to the actual pre-/post-intervention values produced in the code. As such, everything that is calculated is based on the difference. When GraphVar does paired t-tests and similar linear models, the first step is to calculate the difference between the pre- and post-intervention values. ![]()
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