[R] Ordinal response model
dieter.menne at menne-biomed.de
Mon Oct 12 20:01:17 CEST 2009
> The questionnaire has a section which contains a particular issue and then
> questions which are related to this issue (and potentially to each other):
> 1) importance of the issue (7 ordinal categories from -3 to +3)
> 2) impact of the impact (7 ordinal categroies from -3 to +3)
> 3) percentage affected by the issue (11 ordinal categories from 0, 0-10,
> 20-30, 30-40.....90-100)
> I also have three participant predictive factors:
> Gender (M/F)
> Age (continuous scale)
> Sector (6 nominal categories)
Gender and Sector are clear; convert these to factors, preferably giving
them meaningful names (m/f, east, west), and everything will be treated
correctly by most r function. Age is also clear, leave as is.
There will be considerably discussion how to code the scores. If these are
not heavily skewed (all -3), in some fields it is accepted to treat these as
continuous. Frank Harrell would argue against it.
I have revised too many manuscripts in both directions, so my opinion
depends on the paper where you publish it.
Anyway, Frank Harrel's lrm in Design might give you a starter. There is also
a well-known book by him on the subject.
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