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Hi, I hope I'll be able to make myself clear. Let's say I have 8 timepoints. At each timepoint, I randomly select a sample of a population and calculate the proportion of people who fit into a category. Then an intervention happens and I do the same at another regular 8 timepoints afterwards. By graphing all these proportions with their respective confidence intervals, it is clear that there is a difference between those 2 groups of 8, but I would also like to be able to report a p-value. Is it appropriate to use these proportions as continuous variables and see if there is a difference between the mean of the first 8 and the mean of the other 8? Or should I keep the variable as categorical and simply group all the 8 timepoints together to perform a simple Chi-Square? Any help or suggestion would be greatly appreciated. Cheers, Christophe
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