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Logit Modeling: Practical Applications: Quantitative Applications in the Social Sciences, cartea 86

Autor Alfred DeMaris
en Limba Engleză Paperback – 19 iul 1992
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.
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Specificații

ISBN-13: 9780803943773
ISBN-10: 0803943776
Pagini: 96
Dimensiuni: 140 x 216 x 6 mm
Greutate: 0.12 kg
Ediția:Will Be Reissue.
Editura: SAGE Publications
Colecția Sage Publications, Inc
Seria Quantitative Applications in the Social Sciences

Locul publicării:Thousand Oaks, United States

Cuprins

Introduction
Logit Models
Theoretical Background
Logit Models for Multidimensional Tables
Logistic Regression
Advanced Topics in Logistic Regression

Notă biografică

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 modeling, in particular, logistic regression. His articles on this topic have appeared in Social Forces, Psychological Bulletin, and Sociological Methods & Research, among other venues. He is also the author of Logit Modeling: Practical Applications (1992, Sage) and Regression with Social Data: Modeling Continuous and Limited Response Variables (2004, Wiley).

Descriere

Logit Modeling 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.