Nelson Higher Education

Higher Education

Statistics with STATA: Version 12, 8th Edition

  • Lawrence C. Hamilton
  • ISBN-10: 0840064632
  • ISBN-13: 9780840064639
  • 496 Pages | Paperback
  • Previous Editions: 2009, 2006, 2004
  • COPYRIGHT: 2013 Published
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About the Product

For students and practicing researchers alike, STATISTICS WITH STATA Version 12 opens the door to the full use of the popular Stata program--a fast, flexible, and easy-to-use environment for data management and statistics analysis. Integrating Stata's impressive graphics, this comprehensive book presents hundreds of examples showing how to apply Stata to accomplish a wide variety of tasks. Like Stata itself, STATISTICS WITH STATA will make it easier for readers to move fluidly through the world of modern data analysis.


  • The text has been updated throughout to reflect recent enhancements to Stata commands, output, and features--providing readers with a reliable, up-to-date guide to the current software package that is ideal for use in the classroom, lab, or office.

  • Sections in many chapters provide additional information or emphasis reflecting the needs of today's real-world users and the growing capabilities of Stata, including material on extended missing value codes, the Graph Editor and Creative Graphing, and a demonstration of ARMAX time series regression models.

  • The final chapter contains two sections to help advanced Stata users create even more precise and powerful programs: an example program that draws multiple graphs for reporting survey results, and a first look at matrix programming with Mata.

  • Methods for drawing time plots, fitting nonlinear models, estimating standard errors, and obtaining predictions or diagnostic statistics complement additional options provided for long-established commands, giving users even more options to make the most of their work with Stata.

  • With full integration of Stata's graphics, this comprehensive book provides a thorough conceptual and practical overview of the software in an especially easy-to-follow, visually appealing way, making it easier to plan and perform analysis with Stata.

  • Bridging the gap between statistics textbooks and software reference manuals, this immensely practical and reader-friendly text offers a solid introduction to important statistical concepts and how to work with them in Stata, providing an indispensable learning and reference tool for students and professional researchers alike.

  • Readers of this one-of-a-kind text benefit from the unique insights and expertise Lawrence Hamilton provides, based on his more than 25 years of using, writing about, and teaching statistics courses at all levels with Stata.

  • The first six chapters roughly mirror an introductory statistics course, while the second half of the text explores more complex material (including the basics of programming with Stata) appropriate for advanced courses or original research, making it easy to use the text effectively in a variety of classes and contexts.

  • For readers beginning to explore more advanced material, basic information and illustrations provide an introduction to topics such as how to obtain and interpret diagnostic statistics and graphs and how to perform robust, quantile, nonlinear, logit, ordered logit, multinomial logit, or Poisson regression.

About the Author

Lawrence C. Hamilton

Dr. Hamilton received his Ph.D. in Sociology from the University of Colorado at Boulder in 1978. He has taught statistics courses from undergraduate to advanced graduate levels at the University of New Hampshire and has written numerous statistics texts and software manuals, including MODERN DATA ANALYSIS, REGRESSION WITH GRAPHICS, and DATA ANALYSIS FOR SOCIAL SCIENTISTS. These books take an applied, data-oriented approach to understanding statistical methods and the analytical process. Dr. Hamilton's current research concerns climate change and environment-society interactions in the Arctic.

Table of Contents

1. Stata and Stata Resources.
2. Data Management.
3. Graphs.
4. Summary Statistics and Tables.
5. ANOVA and other Comparison Methods.
6. Linear Regression Analysis.
7. Regression Diagnostics.
8. Fitting Curves.
9. Robust Regression.
10. Logistic Regression.
11. Survival and Event-Count Models.
12. Principal Components, Factor, and Cluster Analysis.
13. Time Series Analysis.
14. Survey Data Analysis.
15. Multilevel and Mixed-Effects Modeling.
16. Introduction to Programming.

New to this edition

  • Chapters on Survey Data Analysis and Multilevel and Mixed-Effects Modeling provide detailed guidelines to help users appreciate and apply the sophisticated capabilities that the latest version of Stata offers in these areas.