You are here

Disable VAT on Taiwan

Unfortunately, as of 1 January 2020 SAGE Ltd is no longer able to support sales of electronically supplied services to Taiwan customers that are not Taiwan VAT registered. We apologise for any inconvenience. For more information or to place a print-only order, please contact uk.customerservices@sagepub.co.uk.

Applied Logistic Regression Analysis
Share
Share

Applied Logistic Regression Analysis

Second Edition
  • Scott Menard - Sam Houston State University, USA, University of Colorado, USA


October 2001 | 128 pages | SAGE Publications, Inc
The focus in this Second Edition is on logistic regression models for individual level (but aggregate or grouped) data. Multiple cases for each possible combination of values of the predictors are considered in detail and examples using SAS and SPSS included. New to this edition:

· More detailed consideration of grouped as opposed to casewise data throughout the book

· Updated discussion of the properties and appropriate use of goodness of fit measures, R2 analogues, and indices of predictive efficiency

· Discussion of the misuse of odds ratios to represent risk ratios, and of overdispersion and underdispersion for grouped data

· Updated coverage of unordered and ordered polytomous logistic regression models.

 
Series Editor's Introduction
 
Author's Introduction to the Second Edition
 
1. Linear Regression and Logistic Regression Model
 
2. Summary Statistics for Evaluating the Logistic Regression Model
 
3. Interpreting the Logistic Regression Coefficients
 
4. An Introduction to Logistic Regression Diagnosis
 
Ch 5. Polytomous Logistic Regression and Alternatives to Logistic Regression
 
6. Notes
 
Appendix A
 
References
 
Tables
 
Figures

Scott W. Menard

Scott Menard is a Professor of Criminal Justice at Sam Houston State University and a research associate in the Institute of Behavioral Science at the University of Colorado, Boulder. He received his A.B. at Cornell University and his Ph.D. at the University of Colorado, Boulder, both in Sociology. His interests include quantitative methods and statistics, life course criminology, substance abuse, and criminal victimization. His publications include Longitudinal Research (second edition Sage 2002), Applied Logistic Regression Analysis (second edition Sage 2002), Good Kids from Bad Neighborhoods (Cambridge University Press 2006, with... More About Author

Purchasing options

Please select a format:

ISBN: 9780761922087
$46.00

SAGE Research Methods is a research methods tool created to help researchers, faculty and students with their research projects. SAGE Research Methods links over 175,000 pages of SAGE’s renowned book, journal and reference content with truly advanced search and discovery tools. Researchers can explore methods concepts to help them design research projects, understand particular methods or identify a new method, conduct their research, and write up their findings. Since SAGE Research Methods focuses on methodology rather than disciplines, it can be used across the social sciences, health sciences, and more.