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Statistical Methods for Categorical Data Analysis | 
 enlarge | Authors: Daniel A. Powers, Yu Xie
Publisher: Academic Press
Category: Book
List Price: $73.95
Buy New: $71.50
You Save: $2.45 (3%)
New (8) Used (3) from $71.50
Avg. Customer Rating:  2 reviews
Sales Rank: 499118
Media: Hardcover
Edition: 1
Number Of Items: 1
Pages: 305
Shipping Weight (lbs): 1.3
Dimensions (in): 9 x 6.2 x 0.8
ISBN: 0125637365
Dewey Decimal Number: 519.535
EAN: 9780125637367
ASIN: 0125637365
Publication Date: November 12, 1999
Availability: Usually ships in 1-2 business days
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Product Description
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
* Exercises and examples utilize popular data already familiar to many social scientists
* Examples of the use of various popular software packages
* Includes non-standard applications of existing software for estimating models which cannot be handled directly using existing pre-programmed software
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| Customer Reviews:
 Not recommended at all... January 11, 2007
3 out of 8 found this review helpful
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!
 helpful! June 5, 2000
14 out of 18 found this review helpful
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.
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