Statistical Methods for Categorical Data Analysis

Powers, Daniel

ISBN 10: 0123725623 / ISBN 13: 9780123725622

Published by Elsevier Science Ltd, 2008

About this Item

Most items will be dispatched the same or the next working day. An apparently unread copy in perfect condition. Dust cover is intact with no nicks or tears. Spine has no signs of creasing. Pages are clean and not marred by notes or folds of any kind.

Seller Inventory # wbs5762608071

Bibliographic Details

• Title: Statistical Methods for Categorical Data Analysis
• Publisher: Elsevier Science Ltd
• Publication Date: 2008
• Language: English
• ISBN 10: 0123725623
• ISBN 13: 9780123725622
• Binding: Hardcover
• Edition: 2nd Edition
• Condition: Like New
• Weight: 689 grams

About this title

Synopsis

This book provides a comprehensive introduction to methods and models for categorical data analysis and their applications in social science research. An explicit aim of the book is to integrate the transformational and the latent variable approach, two diverse but complementary traditions dealing with the analysis of categorical data. This is the first introductory text to cover models and methods for discrete dependent variables, cross-classifications, and longitudinal data in a rigorous, yet accessible, manner in a single volume.

The second edition of this book includes new material on multilevel models for categorical data. Several chapters have undergone extensive revisions and extensions to include new applications and examples. Highlights of the 2nd edition include a detailed discussion of classical and Bayesian estimation techniques for hierarchical/multilevel models, extensive coverage of discrete-time hazard models and Cox regression models, and methods for evaluating and accommodating departures from model assumptions. The accompanying website contains programming scripts to replicate each example using various statistical packages, which has proven to be an invaluable resource for instructors, students, and researchers.

This book presents the essential methods and models that form the core of contemporary social statistics. The book covers a remarkable range of models that have applications in sociology, demography, psychometrics, econometrics, political science, biostatistics, and other fields. It will be especially useful as a graduate textbook for students in advanced social statistics courses and as a reference book for applied researchers. Companion website also available, at https://webspace.utexas.edu/dpowers/www/

About the Author

Yu Xie is Otis Dudley Duncan Distinguished University Professor of Sociology, Statistics, and Public Policy at the University of Michigan.