Applied Logistic Regression Analysis (Quantitative Applications in the Social Sciences)

pThe focus in this bSecond Edition/b is again on logistic regression models for individual level data, but aggregate or grouped data are also considered. The book includes detailed discussions of goodness of fit, indices of predictive efficiency, and standardized logistic regression coefficients, and examples using SAS and SPSS are included. /p ul liMore detailed consideration of grouped as opposed to case-wise data throughout the book /li liUpdated discussion of the properties and appropriate use of goodness of fit measures, R-square analogues, and indices of predictive efficiency /li liDiscussion of the misuse of odds ratios to represent risk ratios, and of over-dispersion and under-dispersion for grouped data /li/ul pUpdated coverage of unordered and ordered polytomous logistic regression models. /p