- Thread starter GBM
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Hello,

If I understand correctly, the variable to be analyzed is continuous, right? If so, a repeated measurement ANOVA would be suitable.

I think it would be better to describe your data and what you have already done and we can help you better.

F.

If I understand correctly, the variable to be analyzed is continuous, right? If so, a repeated measurement ANOVA would be suitable.

I think it would be better to describe your data and what you have already done and we can help you better.

F.

group and the interaction will be tested within the model.

If your groups were created by randomization, you could consider to calculate difference

values (e.g. between baseline and follow-up 1), and compare them between groups using

a independent samples t-test.

With kind regards

Karabiner

BTW: Which test would you use for variance? Just for future reference...

To test the difference in performance before and after the exercise, I can use paired-sample t-test?

change between time points, or, whether each group separately showed a statistically

significant change. But seemingly, you want to know whether the change from

baseline to follow-up was larger for the experimental group than for the control

group? The paired-samples t-test won't tell you that.

And for the difference between 'experiment' and 'control groups, is it independent

t-test

t-test

between groups using an independent samples t.test, yes.

I suggested to first calculate the change from baseline to follow-up for each subject,

and then to compare these change values between groups using independent

samples t-test. Using the difference values would increase statistical power,

because you would use more statistical information (about the pre-existing differences

a baseline)

Which test would you use for variance? Just for future reference...

With kind regards

Karabiner

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