Statistical Methods for Categorical Data Analysis [Paperback]

Daniel A. Powers (Author)

Book Description

Publication Date: November 12, 1999 | ISBN-10: 0125637365 | ISBN-13: 978-0125637367 | Edition: 1

"Statistical Methods for Categorical Data Analysis" is designed as an accessible reference work and textbook about categorical data (that is, data arising from counts instead of measurement. Examples include data about birth, death, marriage, and so forth). It integrates statistical and econometric approaches to the analysis of limited and categorical dependent variables, thereby offering a practical, mathematically uncomplicated approach to the topics of modern data analysis. The volume offers a comprehensive presentation of many different models in a one-volume format (with website). Two features distinguish this book from other analyses of categorical data. First, the authors present both the transformational and latent variable approaches and so synthesize similar methods in statistical and econometric literatures. Second, the book has an applied orientation and features actual examples from social science research. The authors keep discussions of theory to a minimum. Key features include: exercises and examples utilize popular data already familiar to many social scientists; examples of the use of various popular software packages; non-standard applications of existing software for estimating models which cannot be handled directly using existing pre-programmed software.

Editorial Reviews

Review

"... the first introductory text to cover, in a single volume, models and methods for discrete dependent variables, cross-classifications, and longitudinal data. A great strength of the text is the authors' informal yet sophisticated approach, which combines the discussion of general principles with illuminating and realistic empirical examples."
-Roberto Mare, University of California, Los Angeles, USA

"Teaching this book will be almost too easy. The prose is clear, the examples are well chosen, and the Web site provides practical details."
-Michael Hout, University of California, Berkeley, USA

From the Back Cover

"Powers and Xie present the methods that form the core of contemporary social statistics. It is the first introductory text to cover, in a single volume, models and methods for discrete dependent variables, cross-classifications, and longitudinal data. A great strength of the text is the authors' informal yet sophisticated approach, which combines the discussion of general principles with illuminating and realistic empirical examples."
--ROBERT D. MARE, University of California, Los Angeles
"Teaching this book will be almost too easy. The prose is clear, the examples are well-chosen, and the Web site provides practical details."
--MICHAEL HOUT, University of California, Berkeley
"The Powers and Xie volume is a well-written and up-to-date treatment of many topics in categorical data analysis that should be taught to graduate students in the social sciences. It also will be useful as a reference work for social scientists who use these models in their work. The sample programs, data sets, and outputs available at the associated website should add to the utility of the volume."
--KENNETH C. LAND, Duke University, Durham, North Carolina
"This book makes an excellent text for courses aimed at second-year (and higher) graduate students in the social sciences and the corresponding website materials will be a boon for instructors and students. It will repay careful study. It will also be an invaluable reference for academicians and other research workers in the social sciences, including those of us who supposedly know this content already. Books are the lifeblood of the academic and scientific enterprise. This is a very good one."
--HERBERT L. SMITH, University of Pennsylvania, Philadelphia
"This is an accessible, but thorough and wide-ranging exposition of the statistical topics beyond linear regression most needed by social researchers: logistic regression, loglinear models and event-history analysis. There are many relevant examples from contemporary sociological datasets, and the book's Web site, featuring examples, data and software, is an exceptionally nice touch and will be very useful to students."
--ADRIAN RAFTERY, University of Washington, Seattle

See all Editorial Reviews

Product Details

• Paperback: 324 pages
• Publisher: Emerald Group Publishing Limited; 1 edition (November 12, 1999)
• Language: English
• ISBN-10: 0125637365
• ISBN-13: 978-0125637367
• Product Dimensions: 9 x 6.2 x 0.8 inches
• Shipping Weight: 1.2 pounds
• Average Customer Review: 2.5 out of 5 stars  See all reviews (2 customer reviews)
• Amazon Best Sellers Rank: #1,634,021 in Books (See Top 100 in Books)

Customer Reviews

Most Helpful Customer Reviews

14 of 18 people found the following review helpful:

4.0 out of 5 stars helpful!, June 5, 2000

By A Customer

This review is from: Statistical Methods for Categorical Data Analysis (Paperback)

Highly recommended to any graduate student who wants to handle with discrete dependent variable in his statistical analysis. Authors explain probit, logit, log-linear model... very clearly with many examples supported by their web-site.

2 of 11 people found the following review helpful:

1.0 out of 5 stars Not recommended at all..., January 11, 2007

By 

Vasilios Kaditis (Greece) - See all my reviews
(REAL NAME)   

This review is from: Statistical Methods for Categorical Data Analysis (Paperback)

If you are looking a book for categorical variables this one is definitely not your first choice. There are others excellent books on the topic such as Agresti's first book (easier to read) or Simonoff's, which will guide you and give you a clear picture of categorical data analysis. Otherwise try Jobson's :Applied Multivariate Data Analysis, which is a top book. Daniel Powers book will not teach you the subject so you better avoid it!