Applied Logistic Regression Analysis (Quantitative Applications in the Social Sciences) (v. 106)

✍ Scribed by Dr. Scott Menard

Publisher: Sage Publications, Inc
Year: 2001
Tongue: English
Leaves: 120
Edition: 2nd
Category: Library

No coin nor oath required. For personal study only.

✦ Synopsis

The focus in this Second Edition 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. More detailed consideration of grouped as opposed to case-wise data throughout the book Updated discussion of the properties and appropriate use of goodness of fit measures, R-square analogues, and indices of predictive efficiency Discussion of the misuse of odds ratios to represent risk ratios, and of over-dispersion and under-dispersion for grouped data Updated coverage of unordered and ordered polytomous logistic regression models.

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