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Data Analysis Using Stata, Third Edition, by Ulrich Kohler, Frauke Kreuter
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Data Analysis Using Stata, Third Edition is a comprehensive introduction to both statistical methods and Stata. Beginners will learn the logic of data analysis and interpretation and easily become self-sufficient data analysts. Readers already familiar with Stata will find it an enjoyable resource for picking up new tips and tricks.
The book is written as a self-study tutorial and organized around examples. It interactively introduces statistical techniques such as data exploration, description, and regression techniques for continuous and binary dependent variables. Step by step, readers move through the entire process of data analysis and in doing so learn the principles of Stata, data manipulation, graphical representation, and programs to automate repetitive tasks. This third edition includes advanced topics, such as factor-variables notation, average marginal effects, standard errors in complex survey, and multiple imputation in a way, that beginners of both data analysis and Stata can understand.
Using data from a longitudinal study of private households, the authors provide examples from the social sciences that are relatable to researchers from all disciplines. The examples emphasize good statistical practice and reproducible research. Readers are encouraged to download the companion package of datasets to replicate the examples as they work through the book. Each chapter ends with exercises to consolidate acquired skills.
- Sales Rank: #313254 in Books
- Brand: Brand: Stata Press
- Published on: 2012-08-20
- Original language: English
- Number of items: 1
- Dimensions: 9.20" h x 1.30" w x 7.20" l, 2.25 pounds
- Binding: Paperback
- 497 pages
- Used Book in Good Condition
About the Author
Ulrich Kohler is a sociologist at the Social Science Research Center Berlin (WZB). Dr. Kohler is an organizer of the German Stata Users Group meetings. Frauke Kreuter is an associate professor�in the Joint Program in Survey Methodology (JPSM)�at the University of Maryland–College Park, professor in the Statistics Department�at the Ludwig-Maximilians-University of Munich, and�head of the Statistical Methods group at the Institute for Employment Research (IAB) in Nuremberg, Germany. Both authors are associate editors of the Stata Journal. They coauthored a German textbook, Datenanalyse mit Stata, which was the predecessor of this book. They used Data Analysis Using Stata to teach several classes and short courses at the University of Mannheim, the University of Konstanz, the Free University of Berlin, and the University of California–Los Angeles.
Most helpful customer reviews
8 of 9 people found the following review helpful.
Excellent text on data management
By Joseph Hilbe
Kohler and Kreuter's third editon of "Data Analysis Using Stata", is 497 pages in length and is
published only in paperback form. It is the most recent publication in the series of texts on statistics
published by Stata Press. Stata is a well-used general-purpose commercial statistical application, and
its series of books on statistics have been popular among both Stata users and others who are simply
interested in the subject matter of a book in the Series. In fact, many of the Series books can be
thought of as texts on a particular area of statistics --- using Stata for examples. Others
are more Stata-specific, eg. books dealing with Stata programming, graphics, or data
management. Kohler and Kreuter's text is of the latter variety. On the other hand, many of the data
analytic principles discussed in the book are applicable to data management in general, so have
application beyond a particular software application. Moreover, the author's discuss more than just how
to manage data; they do so with respect to the preparation of graphics, and managing both
descriptive and inferential statistics.
Although a number of data sets are used for examples in the text, most examples relate to the 5411 observation
German Socioeconometric Panel data, a survey of German households containing demographic, income, employment,
and other similar type information. The author's guide the reader on setting up the data for various
types of analysis and for using Stata's graphical interace facilities. Stata code for all examples is
provided, and explained in detail. The reader gains an ability to use Stata for data management, graphical
setup and analysis, as well as model setup and testing.
I should also mention that the book includes a chapter on creating Stata do and ado files. "do" files
are simply batch files -- what are called 'scripts' in R and 'macro's' in SAS. "ado" files are
"automatic do files" or "commands", which are similar to R functions. The majority of the official commercial
Stata pacakge is programmed using Stata commands. Commands authored by Stata users look the same as those
authored by Stata developers. Stata also consists of binary code, but much of it is in terms of commands,
many of which were originally contributed by users.
finally, I should also say something more about Stata Press, which gives an insight into the various books
in the Series, including the text of this review. The Series began as a single text in 1999 authored by
Stata staff on maximum likelihood estimation using Stata. The remainder of the Series began in 2001 with
the publication of a user-authored text on Generalized Linear Models. Eleven years later there are 20 separate
titles in the Series, which includes one text in French and another in Korean. Many of the texts have
multiple editions. In total, with the publication of Kohler and Kreuter's third edition text, Stata Press
has published 40 books in the Series. Nine more separate-title books are scheduled to be published by the
end of 2013.
I highly recommend this book for anyone who has an interest in data management, in particular to Stata
users who must also manipulate data as part of job.
1 of 1 people found the following review helpful.
Very useful
By Drew H
Highly recommended for new users and as a desk reference for those more familiar with STATA. It can read like a book and allows a new user to slowly learn the system. No programming experience required to understand the content. Probably the best all around STATA book I have seen.
0 of 0 people found the following review helpful.
great reference for Stata
By James Watts
Easy to understand examples of the best parts of Stata. Would be five stars if publisher had included version 13, a version that has made profound progress in interpreting regression modeling.
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