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Chapter 8: Logistic Regression
Many questions raised in the social sciences involve analyzing binary variables. For example, Best (2009) uses logistic regression to study farmers'decisions whether to adopt organic farming, and Cornwell and Laumann (2011) study sexual dysfunction. Other topics studied with logistic regression include educational attainment (e.g. university degrees) and unemployment.
A dichotomous variable can take two distinct values. As in most regression-based methods, it is convenient to code the variable as a binary variable with the values 0 and 1. Let us assume a variable should indicate whether a person has xenophobic attitudes or not. In this case it would make sense to code xenophobic persons with ‘1’ and non-xenophobic persons with ‘0'.1 How can we analyze this variable?
One rather ...