Hi everybody! :)
I wish to investigate a possible prediction between two variables I'm currently studying, and wanted to use a logistic regression model.
Is it possible to run a multinomial logistic regression having just one nominal independent variable with four categories? My dependent variable is also nominal with four categories.
Many thanks for your attention :)
Why not just analyze via chi-square? You could use Cramer's V for size of effect.
Hi Paul,
Many thanks for your answer. Do you mean a chi-square test of association?
If your outcome variable is categorical in nature with more than two levels, Multinomial regression can be used.
Yes, of course. The independent variable is dummi-coded (possibly done internally and automatically by your stats software).
Here is an example in R:
library(nnet) # provides the function multinom()
kx
What is x and y and what is your hypothesis? We can't know what is the best thing to do before we know that.
I believe it's possible to run a MLG with one nominal independent variable and a nominal dependent variable with four categories. You are essentially examining the relationship between your independent variable and the probabilities of your dependent variable falling into one of the four categories.
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