ABSTRACT
LR is a multivariate prediction method that is most likely to use all or some categorical predictors to explain a categorical, usually dichotomous, outcome. As we will see, it bears similarities and differences to other prediction methods such as multiple regression (MR) and discriminant function anlalysis (DFA) (see Chapters 4 and 8, respectively). Several excellent sources can be consulted regarding logistic regression. Hosmer and Lemeshow (1989) have written what is commonly believed to be the definitive text on LR. Other well-written manuscripts explain the essentials of LR in easy to understand language (e.g., Menard, 1995; Rose, Chassin, Presson & Sherman, 2000; Tabachnick & Fidell [Ch. 12], 2001; Wright, 1995). We now turn to a delineation of how the set of 10 questions and themes pertain to the method of LR.
