What is ordinal logistic regression?
Ordinal logistic regression is a statistical method used to model the relationship between one or more independent variables and an ordinal dependent variable. It is an extension of binary logistic regression to situations where the outcome variable has more than two ordered categories but maintains the ordinal nature of the categories. In ordinal logistic regression, the dependent variable is categorical and ordinal, meaning it has a natural ordering but the intervals between categories may not be equal. For example, Likert…