<FONT SIZE="2"></FONT><P><FONT SIZE="2">The focus in this <B>Second 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. </FONT></P><FONT SIZE="2"> </FONT><UL><FONT SIZE="2"></FONT><LI><FONT SIZE="2">More detailed consideration of grouped as opposed to case-wise data throughout the book </FONT></LI><FONT SIZE="2"></FONT><LI><FONT SIZE="2">Updated discussion of the properties and appropriate use of goodness of fit measures, R-square analogues, and indices of predictive efficiency </FONT></LI><FONT SIZE="2"></FONT><LI><FONT SIZE="2">Discussion of the misuse of odds ratios to represent risk ratios, and of over-dispersion and under-dispersion for grouped data </FONT></LI><FONT SIZE="2"></FONT></UL><FONT SIZE="2"></FONT><P><FONT SIZE="2">Updated coverage of unordered and ordered polytomous logistic regression models.&nbsp;</FONT></P><FONT SIZE="2"></FONT>