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My dependent variable is categorical (with 3 levels) and my predictor variables are a mix of continuous (age in months, test 1 score, test 2 score, test 3 score) and categorical (gender). I believe I should run a multinomial regression, but when I do the results are really uninterpretable because each age is basically treated as a category (and the same for the test scores).

Does anyone know a different test that would be appropriate to use in my case? I would really appreciate any help.

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    $\begingroup$ You have ordered categories; if you take account of the ordering, you may find the results more interpretable. $\endgroup$ – Glen_b -Reinstate Monica Nov 9 '13 at 1:42
  • $\begingroup$ Thank you Glen. Does this sound like the appropriate test to use? $\endgroup$ – user32544 Nov 9 '13 at 1:46
  • $\begingroup$ I'm not sure what you refer to by 'this'. I meant things like proportional odds models, adjacent category logit, cumulative models, and so on. $\endgroup$ – Glen_b -Reinstate Monica Nov 9 '13 at 1:53
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    $\begingroup$ Adressing the question of categorical treatment of age and scores: Did you find out how to let your software treat them as numerical? $\endgroup$ – Michael M Nov 9 '13 at 11:34
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    $\begingroup$ Sounds to me like you are treating age, a continuous independent variable (unless the range of months is small) as categorical. I don't know of any methods for ordinal IVs. $\endgroup$ – Peter Flom Nov 9 '13 at 11:50

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