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I am trying to analyse data of 2 different groups (control vs experimental, brain damage) and their performance on 3 different cognitive tests (the results of which are not correlated) to determine the effect of brain damage on different cognitive funcitons.

I have 2 questions

  1. Should I use a mixed ANOVA or a MANOVA or even some other analysis?
  2. Can uncorrelated measures (the cognitive tests) be assigned as levels to one DV as they would be if I used a mixed anova design which assumes a single DV?
ttnphns
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Katie
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  • Are the three cognitive functions comparable theoretically and/or by measurement units? I mean, can there be seen as "repeated measures" (factor "cognitive function" with 3 levels)? If yes, you could analyse it as multivariate setting or as split-plot univariate setting (using mixed linear model). See e.g. 1, 2. – ttnphns Dec 08 '15 at 19:50
  • See also this recent Q about "long" and "wide" dataset formats. – ttnphns Dec 08 '15 at 19:52
  • In your question #2, did you mean to ask if the cognitive tests could be treated as levels of one IV (as opposed to DV)? If not, perhaps you can clarify what exactly you mean in this question. – amoeba Dec 08 '15 at 22:51
  • The three cognitive tests simply test participants scores on maths, reasoning and language skills but the I am primarily interested in comparing the control group vs the brain damaged group on their cognitive functions – Katie Dec 22 '15 at 17:05
  • Sorry yes if the IV could be treated as the test then with 3 levels of different test or if each test type could be treated as a separate IV – Katie Dec 22 '15 at 17:06

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