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200 Participants completed 3 tasks (easy, medium, difficult) and a cognitive ability test. All variables are continuous (for the task I have the time it took each participant to complete each task, and the cognitive test's score). To sum, I have 1 within variable (task difficulty) and 1 between variable (cognitive ability). The task time in each task level are positive skewed.

My hypothesis is that there will be an interaction between task difficulty and cognitive ability. What would be more appropriate – Repeated measures ANOVA or Mixed models?

Many thanks

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Let me know if I'm understanding your question incorrectly -- you measured the cognitive ability of your participants first, then have them complete 3 tasks. You then get the time and scores on all the tests. This experiment design seems like a typical repeated measures setup.

If you are using just the scores as response variables, then repeated measures ANCOVA would make sense, with independent variables task difficulty and cognitive ability (I'm assuming the cognitive ability is some IQ test and therefore a covariate).

If you want to test the effects of the IV on both time and test scores, I would recommend repeated-measures MANCOVA, as the time and test scores are likely to be correlated.

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  • $\begingroup$ Thanks. I'm not looking at the test scores, only the test time. $\endgroup$ – user3315563 Feb 9 '18 at 7:56
  • $\begingroup$ In that case repeated-measures ANCOVA should be appropriate. $\endgroup$ – Asy Feb 9 '18 at 23:09
  • $\begingroup$ Thanks again. But then I have no IV, only a covariate (cognitive ability) and a DV (time) - Is this possible? $\endgroup$ – user3315563 Feb 10 '18 at 15:43
  • $\begingroup$ Your task difficulty should be the categorical IV. $\endgroup$ – Asy Feb 10 '18 at 21:01
  • $\begingroup$ As far as I know, this is not possible in SPSS: For RM, SPSS need the data in wide format, so I can't associate the dummy variables for task difficulty and the other variables. $\endgroup$ – user3315563 Feb 12 '18 at 18:40

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