Description: Statistical Methods for Categorical Data Analysis by Daniel A. Powers and Yu Xie 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." "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.
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Location: Richmond, California
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Return shipping will be paid by: Buyer
All returns accepted: Returns Accepted
Item must be returned within: 30 Days
Refund will be given as: Money Back
Publication Year: 2008
Type: Textbook
Format: Hardcover
Subject Area: Mathematics, Social Science, Psychology
Language: English
Publication Name: Statistical Methods for Categorical Data Analysis
Personalized: No
Author: Daniel Powers, Yu Xie
Publisher: Emerald Publishing The Limited
Subject: Methodology, Probability & Statistics / Multivariate Analysis, Statistics
Number of Pages: 296 Pages