Dear Friends
I am going to analyze a new way of processing of pathological samples for microscopic examination compared to the conventional method. I am going to look for, microtony characteristics(V1), mounting characteristics (V2), etc. for each I will give a score varying from 1 to 3(1 = poor ,2= fair, 3=good). for example, I will look for microtony characteristics for both conventional and new method and give a score. I have observed 300 tissue samples including 5 different tissue types. my results out put has ordinal data. now I need to look whether the new sample preparation method is good compared to the conventional method. Since I have many ordinal variable how I proceed statistical test for this? I need your suggestions.
Here is the sample out put. I compare same set of variable(V1, V2, etc) for both methods and give respective score for each variable
conventional method new method
V1 V2 V3 V4 V5 V6 V1 V2 V3 V4 V5 V6
2 2 3 2 2 2 3 2 3 3 3 3
I don't see how ChiSquare would be wrong here.
Maybe see how values for V1, V2 etc are distributed among the samples? Also, not sure if bioinformatics, other mods please advise.
I guess a Mann-Whitney U test should also work
You could also consider Cohen's Kappa. It's a measure of agreement between the two methods taking into account that they could agree by chance.