to be frank, I'm not done yet with the statistics
. I'm still in the process of coding & obtaining the total number(frequency) & caculating percentage of each category used or employed by subjects in both settings(the 1st stage of analysis, as I may call it). in the 2nd stage of analysis (which I haven't reached yet), I have to conduct a statisttical procedure (chi-square, ANOVA ,
gini coefficients, etc.) to determine if there are any significant difference between frequencies of responses and features used by students.
you can look at which tests are appropriate (and then compare the power of each) when you know what TYPE of data you have?? I didn't get any answer!
that's why i'm posting my question here??? knowing the type of data doesn't imply knowing statistics even the basic ones? I can tell you that correlations are a very very very poor choice in terms of what you are examining! Is it possible to tell me why is it a poor choice?
waiting for ur reply..........