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I have a set of pre and post treatment scores on 8 measures. I'd like to test which of these show significant improvement after treatment. If I use within-subjects t tests it will mean carrying out 8 t tests, and risking type I error.

My textbooks all say that repeated subjects ANOVA is for more than two measures, but I only have 2 (pre & post). There is only one group - no control group or anything. What is the most appropriate test to use?

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Why not just perform a MANOVA?

(Post-Test Variables of Interest) = (Group-Related Variables of Interst).

Alternatively, you could perform a MANCOVA, (Post-Test Variables of Interest) = (Pre-Test Variables of Interest AND Group-Related Variables of Interest).

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    $\begingroup$ Welcome to the site, @M.Buchler. Your post is being automatically flagged as low quality, because it is a little short, but I think it is a real answer. Would you mind expanding a little on the implicit argument behind this answer? $\endgroup$ – gung Jun 28 '14 at 18:50

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