I've measured the motor function of the same subjects (n=6) over 7 different time points. I would like to know whether the mean motor function varies significantly with time (day 1 versus day 2 etc) and I know that a 1 way repeated measures anova will allow me to make this assessment. However, before I perform the repeated measures 1 way anova I'd like to assess whether my data are normally distributed. Which test would be most applicable for assessing whether repeated measures data are normally distributed?
Thank you
Best Answer
Assuming that your measure of the motor function is continuous, you need to check not only multivariate normality but also sphericity and independence.
mvnormtest
package if you useR
. Otherwise you can check whether residuals based on your repeated-measures ANOVA model is normally distributed.For more information, see this post and this tutorial.