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Categorical Data Analysis, Multiple-component retail product Book

Categorical Data Analysis Multiple-component retail product

Edited by Keming Yang

Part of the Sage Benchmarks in Social Research Methods series

Multiple-component retail product

Description

These four volumes provide a collection  of key publications on categorical data analysis, carefully put together so that the reader can easily navigate, understand and put in context the major concepts and methods of analysing categorical data.

The major work opens with a series of papers that address general issues in CDA, and progresses with publications which follow a logical movement from the statistics for analysing a single categorical variable, to those for studying the relationships between two and more categorical variables, and to categorical variables in some of more advanced methods, such as latent class analysis.

Edited and introduced by a leading voice in the field, this collection helpfully includes both theoretical and applied items on its theme, in order to help the reader understand the methods and use them in empirical research. Volume 1: Basic Concepts and Principles Volume 2: Statistical Methods for Analysing Associations Volume 3: Log-Linear and Logistic Regression Models  Volume 4: Advanced and Graphical Statistical Methods

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