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The intercepts of a cumulative logit model

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Frequent Contributor
Posts: 131

The intercepts of a cumulative logit model

Hi,

I used PROC LOGISTIC to run a cumulative logit model for ordinal response. The dependent variable has 3 levels:  group=1, group=2, and group=3. For the cumulative logit model here, the predicition is for the probability in the lower category (group 1 vs group 2, 3,  and group 1, 2 vs group 3).

I don't undertand the meaning of the intercepts, which are produced as:

_LABEL_

Intercept: group=3     2.325

Intercept: group=2     5.273

I am very confused with the meaning of intercepts here. Can you please help?

Super User
Posts: 19,862

The intercepts of a cumulative logit model

Have you tried looking at the Cheese example in the SAS Doc? Example 51.3 in SAS 9.2 documentation, similar situation or are you unsure how to specifically interpret your results?

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