I spent a whole hour looking through my stat textbook (Field, 2018 and Pallant, 2020), google scholar and the search energy of my library trying a combination of terms until I stumble upon this video...thank you for this!
Hello, I'm trying to understand the best way to include an ordinal predictor in a multinomial logistic regression, do the approaches you discuss in this video apply to logistic regression? My variable is Education and has 5 levels (less than high school, completed high school, completed college/trade school, completed university, graduate school or higher).
I think the simple approaches (e.g. binary coding scheme) could be used for multinomial logistic regression, too. However, I am not an expert in logistic regression, so I am not sure.
Unfortunately not, I have done the staircase coding manually in Excel. The regression itself was a simple multiple regression in R: library(jtools) reg.fit
![Ordinal Predictors in Linear Regression [Ordinal Independent Variables]](/img/logo.svg){kind=logo}
