Regression · Nominal outcomes
Multinomial Logit and Probit
How can predictors relate to an unordered outcome with three or more categories?
Page 1 of 7 · Big Picture
The big picture: Multinomial Logit and Probit
How can predictors relate to an unordered outcome with three or more categories?
Why a policy analyst should care
Coverage type, care destination, and other unordered outcomes cannot be reduced to “yes or no” without changing the question; multinomial models preserve every category and translate predictors into category probabilities.
Follow the idea from the opening question to a practical decision. These are the conceptual moves this module will develop:
1 Question Keep unordered outcomes as distinct choices
2 Explore Translate relative scores into category probabilities
3 Formalize Logit and probit use different probability structures
4 Transfer Defend the categories and model family
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