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Logit Modeling
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Logit Modeling
Practical Applications

Volume: 86
June 1992 | 96 pages | SAGE Publications, Inc
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Logit modelling represents a breakthrough for researchers because it offers ways for more efficient estimation of models with multiple categorical variables, particularly whenever the measurement assumptions for classical multiple regression fail to be met. Taking an applied approach, DeMaris begins by describing the logit model in the context of the general loglinear model, moving its application from two-way to multidimensional tables. He then divides the rest of the book between an examination of the varieties of logit models for contingency tables and logistic regression. Throughout his coverage of both these major areas, DeMaris emphasizes interpretation of results. The book concludes with an extension of logistic regression to dependent variables with more than two categories.
 
Introduction
 
Logit Models
Theoretical Background

 
 
Logit Models for Multidimensional Tables
 
Logistic Regression
 
Advanced Topics in Logistic Regression

Alfred DeMaris

Alfred DeMaris is Professor of Sociology and Statistician for the Center for Family and Demographic Research at Bowling Green State University in Bowling Green, Ohio. His substantive interests are focused on romantic relationships, including issues surrounding premarital cohabitation, the prediction of marital instability, and the antecedents and consequences of violence in heterosexual dyads. His work in these areas has appeared in Social Forces, Social Psychology Quarterly, Journal of Marriage and Family, Journal of Family Issues, Family Relations, and Journal of Sex Research. His primary specialty in social statistics is regression... More About Author

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ISBN: 9780803943773
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