[R] How to intepret a factor response model?

[Peter Flom]

>>> Maciej Blizi(Bñski <m.blizinski at wsisiz.edu.pl> 5/4/2005 6:02:14 AM >>>
<<<
I'm trying to analyze a survey. Most of the variables are of factor
type, with values for example {"no_at_all", "a_little", "mostly",
"a_lot"}.
>>>

In that case, you probably want to look at ordinal logistic regression.  This is covered in numerous texts, one good one which uses R is Harrell's Regression Modeling Strategies (an excellent book in other regards, as well).

Another book which might be useful (although not R specific) isLong's Regression Models for Categorical and Limited Dependent Variables

<<<
I thought about mapping those answers to numbers, but I didn't know what numbers should I assign them to: {1, 2, 3, 4} (linear) or maybe
{1, 2, 4, 8} (exponential)? So I rather tried to analyze the original
factor survey data.

Multinomial factor response wasn't covered in the lectures in my school
so I'm trying to use my intuition and trial/error technique (please
forgive me :-) ).
>>>

Using your intuition and trial and error seems to me to be a way to guarantee lots of trials and lots of errors, but not necessarily to guarantee success.  You might want to consult a statistician before proceeding; you certainly want to consult a text.

HTH

Peter


Peter L. Flom, PhD
Assistant Director, Statistics and Data Analysis Core
Center for Drug Use and HIV Research
National Development and Research Institutes
71 W. 23rd St
www.peterflom.com
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