Chapter

Categorical Data Analysis: Log‐Linear and Latent Class Models

Allan McCutcheon and Colin Mills

in Research Strategies in the Social Sciences

Published in print July 1998 | ISBN: 9780198292371
Published online November 2003 | e-ISBN: 9780191600159 | DOI: http://dx.doi.org/10.1093/0198292376.003.0005
 Categorical Data Analysis: Log‐Linear and Latent Class Models

Show Summary Details

Preview

Extending the basic regression model to the analysis of contingency tables, using odds and odds ratios. The worked example shows how log‐linear and latent class techniques can be assimilated into a single model using GLIM, LCAG, and LEM software, and how to interpret the BIC and AIC statistics.

Keywords: AIC; BIC; contingency tables; GLIM; latent class modelling; latent variables; LCAG; LEM; log‐linear modelling; odds ratios

Chapter.  9256 words.  Illustrated.

Subjects: Politics

Full text: subscription required

How to subscribe Recommend to my Librarian

Buy this work at Oxford University Press »

Users without a subscription are not able to see the full content. Please, subscribe or login to access all content.