Re: Multinomial Logistic Regression - Category Size

Posted by s-volk on Dec 01, 2010; 3:18pm
URL: http://spssx-discussion.165.s1.nabble.com/Multinomial-Logistic-Regression-Category-Size-tp3286013p3287808.html

Please apologize my confusing question,

What I was trying to say was: The multinomial logistic regression model (MLR) provides a likelihood-ratio test which evaluates the overall relationship between the independent variable and the dependent variable for all categories of the dependent variable. More specifically, it is tested whether the population value for the logistic regression coefficient of the independent variable is zero (i.e., there is no significant relationship between the dependent and independent variable in the population).

This leads me to draw the following conclusions, which I hope are not completely wrong?

1. Since the likelihood-ratio test is based on all observations of the dependent variable, we can assume that the relationship between the dependent and independent variable exists for all categories of the dependent variable (i.e., not only one category is responsible for the observed effect)?

2. The likelihood-ratio test is comparable to the overall F test in OLS regression and tests whether there is a relationship between the dependent and independent variable in the population and therefore provides evidence that the results will generalize to other sample?

@Bruce: Thanks for the suggestions, I thought about this before as well…but can I just drop some “inconvenient cases”

Many thanks for the help and best wishes,
Stefan