☰

Business & Money

Logit Modeling: Practical Applications (Quantitative Applications in the Social Sciences)

R 1,219

or 4 x payments of R304.75 with Payflex

Payflex

Availability: Currently in Stock

Delivery: 10-20 working days

Please be aware orders placed now will not arrive in time for Christmas, please check delivery times.

Logit Modeling: Practical Applications (Quantitative Applications in the Social Sciences)

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.

Country	USA
Author	Alfred DeMaris
Binding	Paperback
Brand	Brand: SAGE Publications, Inc
EAN	9780803943773
Edition	1
Feature	Used Book in Good Condition
ISBN	0803943776
Label	SAGE Publications, Inc
Manufacturer	SAGE Publications, Inc
NumberOfItems	1
NumberOfPages	96
PublicationDate	1992-06-06
Publisher	SAGE Publications, Inc
ReleaseDate	1992-06-06
Studio	SAGE Publications, Inc

You might also like...

Interpreting Probability Models: Logit, Probit, and Other Generalized Linear Models (Quantitative Applications in the Social Sciences)

Interpreting Probability Models: Logit, Probit, and Other Generalized Linear Models (Quantitative Applications in the Social Sciences)

Logit and Probit: Ordered and Multinomial Models (Quantitative Applications in the Social Sciences)

Logit and Probit: Ordered and Multinomial Models (Quantitative Applications in the Social Sciences)

Logistic Regression: A Primer (Quantitative Applications in the Social Sciences)

Logistic Regression: A Primer (Quantitative Applications in the Social Sciences)

Linear Probability, Logit, and Probit Models (Quantitative Applications in the Social Sciences)

Linear Probability, Logit, and Probit Models (Quantitative Applications in the Social Sciences)

Regression with Dummy Variables (Quantitative Applications in the Social Sciences)

Regression with Dummy Variables (Quantitative Applications in the Social Sciences)

Interaction Effects in Logistic Regression (Quantitative Applications in the Social Sciences)

Interaction Effects in Logistic Regression (Quantitative Applications in the Social Sciences)

Data Analysis: An Introduction (Quantitative Applications in the Social Sciences)

Data Analysis: An Introduction (Quantitative Applications in the Social Sciences)

Tests of Significance (Quantitative Applications in the Social Sciences)

Tests of Significance (Quantitative Applications in the Social Sciences)

Nonparametric Measures of Association (Quantitative Applications in the Social Sciences)

Nonparametric Measures of Association (Quantitative Applications in the Social Sciences)

Interaction Effects in Multiple Regression (Quantitative Applications in the Social Sciences)

Interaction Effects in Multiple Regression (Quantitative Applications in the Social Sciences)