Then by having 3 categories in the variable level of studies, we generate 2 variables, Secondary and University. The coding scheme that is used to create, and therefore, recode into a dummy a categorical or ordinal variable with more than 2 categories ( example: Level of Studies), taking into account that the reference category is “Primary Studies”, so that it can become part of the binary logistic regression it is of the form, that is, 2 dummy variables are generated for 3 categories, 3 for 4 categories, the omitted category remaining as reference variable:
To be able to introduce a nominal variable of this type, which has 3 categories (or more), in the model we must resort to the “dummy” categorization, which consists of the generation of dummy dichotomous variables for the different categories of the variable.
0 kommentar(er)
