Multinomial logistic regression is an extension of binary logistic regression. This statistical method can be implemented when modeling a dependent variable that is a categorical variable with more than two levels. This workshop will cover the mathematics of the multinomial logistic regression model, the interpretation of coefficients, model fit, and post-hoc tests.
Introduction to Multinomial Logistic Regression
Files for this workshop are available in Box.
Access FilesA video of this workshop is available at Cornell’s Video on Demand site.
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