Hi Ali, I don't quite follow what you did here, so it may be helpful to provide more details (especially about step 1--e.g., was it ordinal logistic regression?).
However, this is not the list for this question. This list is for asking about using R for teaching statistics. So you'll have to ask this question elsewhere to get an answer. Since it's not clear to me that your question is even about a difficulty using R, I'm not sure that the regular R-help list is appropriate either. You might try something like talkstats or cross validated. Best of luck, Jeff On Wed, Oct 3, 2012 at 4:57 PM, Ali Zanaty <[email protected]> wrote: > Dear All: > I have two variables: > X (nominal categorical) has 9 categories. > Y(ordinal categorical) has 4 categories. > > 1-I fit a logistic regression using Y as > the response variable and X as the independent variable. The P VALUE was > 0.2373. This tells me that the independent variable X is NOT significant > predictor. > > > 2- I run a > chi-square test to test if there is a relationship (association ship) > between > both X and Y variables. The P VALUE was 0.0013. That is there is > statistical > evidence of association between the two variables. > > 3- I collapsed the 4 categories of the Y-variable into 2 categories. I run > a > chi-square test to test if there is a difference(s) among proportions of > the X-variable (the equality of the 9 proportions). The P VALUE was 0.0037. > That is there is statistical > evidence of differences among the 9 proportions. > > How > I can explain results of one versustwo, and one versus three. I am not > sure if there is a contradiction among these results. > many > thanks > Ali > [[alternative HTML version deleted]] > > > _______________________________________________ > [email protected] mailing list > https://stat.ethz.ch/mailman/listinfo/r-sig-teaching > > [[alternative HTML version deleted]] _______________________________________________ [email protected] mailing list https://stat.ethz.ch/mailman/listinfo/r-sig-teaching
