Hi,
I'm having to use nonparametric methods to analyse some data owing to an abnormal distribution which results from a disprortionate number of zero's in the results. These zero's are extremely meaningful to the point of the study and thus I don't think can be removed or transformed (unless anyone has any other ideas?!) I'm now struggling to know which analysis to perform. Individuals were assigned one of 3 treatments which they were subjected to 4 times over. i.e. a given individual was only ever subjected to one type of treatment. Therefore I don't think that the data are matched - leading to a Friedman test being the option and I'm concerned that if I simply carried out a Kruskal-Wallis they'd be issues of pseudoreplication. Is there a way of sorting this problem?! I'd be very grateful for any advice as I am new to statistics!
I'm having to use nonparametric methods to analyse some data owing to an abnormal distribution which results from a disprortionate number of zero's in the results. These zero's are extremely meaningful to the point of the study and thus I don't think can be removed or transformed (unless anyone has any other ideas?!) I'm now struggling to know which analysis to perform. Individuals were assigned one of 3 treatments which they were subjected to 4 times over. i.e. a given individual was only ever subjected to one type of treatment. Therefore I don't think that the data are matched - leading to a Friedman test being the option and I'm concerned that if I simply carried out a Kruskal-Wallis they'd be issues of pseudoreplication. Is there a way of sorting this problem?! I'd be very grateful for any advice as I am new to statistics!