Hello,
I have a question about interpreting the outputs of a generalised ordered logit model estimated using the gologit2 programme.
I am investigating public support for different types of energy. My outcome variable has 3 categories: support, neutral, oppose. The model therefore estimates two sets of coefficients: one for support vs. neutral/oppose, and one for support/neutral vs. oppose. Am I correct in interpreting the second set of coefficients as indicators of people more likely to be in the neutral category?
Basically, I am struggling to understand why the outcome categories are cumulative, and whether this means I can or cannot report the results as 'people are more likely to be in the support category' and 'people are more likely to be in the neutral category' (when technically the two sets of coefficients refer to people more likely to be in one category vs. cumulative other categories).
I hope this makes sense, please let me know if any clarification is required.
Many thanks in advance,
Pip
I have a question about interpreting the outputs of a generalised ordered logit model estimated using the gologit2 programme.
I am investigating public support for different types of energy. My outcome variable has 3 categories: support, neutral, oppose. The model therefore estimates two sets of coefficients: one for support vs. neutral/oppose, and one for support/neutral vs. oppose. Am I correct in interpreting the second set of coefficients as indicators of people more likely to be in the neutral category?
Basically, I am struggling to understand why the outcome categories are cumulative, and whether this means I can or cannot report the results as 'people are more likely to be in the support category' and 'people are more likely to be in the neutral category' (when technically the two sets of coefficients refer to people more likely to be in one category vs. cumulative other categories).
I hope this makes sense, please let me know if any clarification is required.
Many thanks in advance,
Pip
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