This volume helps readers understand the intuitive logic behind logistic regression through nontechnical language and simple examples. The Second Edition presents results from several statistical packages to help interpret the meaning of logistic regression coefficients, presents more detail on variations in logistic regression for multicategory outcomes, and describes some potential problems in interpreting logistic regression coefficients. A companion website includes the three data sets and Stata, SPSS, and R commands needed to reproduce all the tables and figures in the book. Finally, the Appendix reviews the meaning of logarithms, and helps readers understand the use of logarithms in logistic regression as well as in other types of models.

The Logic of Logistic Regression

The Logic of Logistic Regression

Many social phenomena are discrete or qualitative rather than continuous or quantitative in nature—an event occurs or it does not occur, a person makes one choice but not the other, an individual or group passes from one state to another. A person can have a child, die, move (either within or across national borders), marry, divorce, enter or exit the labor force, receive welfare benefits, vote for one candidate, commit a crime, be arrested, quit school, enter college, join an organization, get sick, belong to a religion, or act in myriad ways that either involve a characteristic, event, or choice. Sometimes continuous scales are measured qualitatively, such as for income below the poverty level or birth weight below a ...

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