Summary
Contents
Jason W. Osborne's Best Practices in Logistic Regression provides students with an accessible, applied approach that communicates logistic regression in clear and concise terms. The book effectively leverages readers’ basic intuitive understanding of simple and multiple regression to guide them into a sophisticated mastery of logistic regression. Osborne's applied approach offers students and instructors a clear perspective, elucidated through practical and engaging tools that encourage student comprehension.
Using Unordered Categorical Independent Variables in Logistic Regression
Using Unordered Categorical Independent Variables in Logistic Regression
We have thus far explored simple logistic regression with a single dichotomous variable and with a single continuous variable. As you are well aware, there are different types of measurement that we all learn about in our basic methodology courses (from most desirable to least): ratio, interval, ordinal, and nominal. The focus of this chapter is on the last category, nominal measurement (which I also refer to as a categorical or polytomous variable). What differentiates them, briefly, is whether they contain three different ingredients:
- Ordinality: Higher numbers indicate more of that trait/characteristic.
- Equal intervals: Distance between numbers is the same across the range of measurement.
- A “true” zero point that represents the complete absence of the quality being ...
