Dummy variables and their interactions in regression analysis: examples from research on body mass index

Abstract

This paper is especially written for students and demonstrates the correct use of nominal and ordinal scaled variables in regression analysis by means of so-called dummy variables. We start out with examples of body mass index (BMI) differences between males and females, and between low, middle, and high educated people. We extend our examples with several explanatory (dummy) variables and the interactions between dummy variables. Readers learn how to use dummy variables and their interactions and how to interpret the statistical results. We included data, SPSS syntax, and additional information on a website (http://www.ru.nl/sociology/mt/bmi/downloads/) that goes with this text. No mathematical knowledge is required.