Dear R-team,
As an extension of my previous work ( http://www.ncbi.nlm.nih.gov/pubmed/21377324) I am now about to handle new obtained ordinal data. Disabled students had to rank their top 5 incentives for participating in sport activities according to their personal (subjective) importance. Individual hierarchies of incentives were transformed so that now each dependent variable contains 6 values (5: 1st ranked, to 1: 5th ranked or even 0: not selected). Apparently, my ordinal data is already ranked, but it is far from normally distributed. So I need to perform a non-parametric MANOVA (for a example a 3 x 2 x 2 factorial design). It is imperative to carry out multiple group comparisons. Of course, one may take into account additional information, e.g., the rank of sportÂ’s (importance) in the studentsÂ’ lives, which I have also assessed. I would like to ask, which of the R statistical program would be (the most) appropriate for my design. Best regards, Panagiotis Varsamis [[alternative HTML version deleted]]
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