Is it possible to include a blocking variable with unequal sample sizes for nonparametric tests?

Question

Hello everyone, I am interested in using the Kruskal-Wallis test to compare several different categories. I have data from two years, and I would like to block on year to incorporate this variation. However, I do not have equal sample sizes from both years. Is it possible to block on year in JMP (or any other software) if you have unequal sample sizes for nonparametric tests? JMP tells me 'blocking was ignored because cell counts were unequal'. Is there a workaround for this?

Thanks!

Jeff_Perkinson · Accepted Answer

There's no real workaround to allow for the unequal cell counts in Fit Y by X.

An alternative analysis for your situation is to save the ranks, using averages for ties from the Distribution platform. Then use Fit Model with the Rank as your Y and your categories and year as effects. It's not exactly the same as the Kruskal-Wallis but some statisticians would recognize this as a valid alternative.

Hope that helps.

PatrickGiuliano · Accepted Answer

In JMP 16 and JMP 17, the Fit Y by X Platform will now automatically invoke an instance of Fit Model within the data analysis output window to provide an option for the analysis of unequal sample sizes within Block.  It will also give the user a warning message to prompt them why the additional output outside of Fit Y by X has been generated:  "Fit Model invoked because unbalanced block sizes not supported by Oneway features."