Categorical Predictors

Categorical Predictors

1. DV: Continuous (e.g., symptoms)

2. IV: Continuous (e.g., stress) or Dischotomous (e.g., gender)

3. Polytomous Predictors

   • Nominal scale of measurement with categories (i.e., discrete) which bear no quantitative relationship with one another
     • In other words, it is not scalable
     • Has more than 2 categories (if 2 then dichotomous
   • To use a polytomous variable, we have to dichotomise it by:
     • Collapsing the categories into 2
     • Dummy Variables: Creating several dichotomous variables to represent the polytomous variable

4. Dichotomous variables can be used in regression

Images and files in the map