Hi,
I've been seeing different ways to present the gologit2 output such as default output coeff, mfx2 results, predicted probabilities, and use of gammas based on the R. Williams, Long and Freese, etc.. However, may I ask the following question: when and why to use (or choose) one type of output over the others.
Also, I'm not sure whether I correctly understood the interpretation of the default gologit2 output. Is it, "even the output says it's a "coefficient", should it be interpreted like the output of a logit? Hence, getting the odds ratio? and read it as the log of the odds of being in the 1st category versus the others? and so on?"
Would be grateful for your response to the questions.
I've been seeing different ways to present the gologit2 output such as default output coeff, mfx2 results, predicted probabilities, and use of gammas based on the R. Williams, Long and Freese, etc.. However, may I ask the following question: when and why to use (or choose) one type of output over the others.
Also, I'm not sure whether I correctly understood the interpretation of the default gologit2 output. Is it, "even the output says it's a "coefficient", should it be interpreted like the output of a logit? Hence, getting the odds ratio? and read it as the log of the odds of being in the 1st category versus the others? and so on?"
Would be grateful for your response to the questions.
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