Logit modeling : practical applications

by Alfred DeMaris

Paper Book, 1992


Checked out
Due Jun 9, 2017

Call number

HB 141 .D42 1992


Newbury Park : Sage Publications, c1992.


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.… (more)

Physical description

vi, 87 p.; 22 cm
Page: 3.642 seconds