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SAGE Publications

Cover Image: A Stata Companion to Political Analysis
  • Date: 05/15/2006
  • Format: Print Paperback
  • Price: $39.95
  • ISBN: 978-0-87289-305-4
  • Pages: 217

A Stata Companion to Political Analysis
Philip H. Pollock III, University of Central Florida

Workbook with CD-Rom

With a robust statistical package and eye-catching graphics Stata is fast becoming the statistical program of choice for political scientists. For speed, versatility, comprehensiveness, and ease-of-use, Stata is hard to beat. It can be a little daunting for beginning students, but no longer. Philip Pollock’s accessible introduction to the program offers students a step-by-step tutorial, leading them through descriptive statistics, cross-tabulation analysis, mean comparisons, linear correlation and regression (including dummy variables and interaction effects), and logistic regression—all tailored to political science material. With over 40 carefully crafted exercises and generous use of annotated screenshots, students will be navigating Stata’s graphics routines in no time. Ten feature boxes highlight some of Stata’s special capabilities while a concluding chapter provides guidance on how to set up a research project, as well as how to use Stata to read raw data.

Students will be amazed at what they can do as they work through chapters. Graphics capabilities that allow a user to create effective visual displays ranging from elementary but elegant histograms to sophisticated comparisons of logistic regression curves are a major attraction of Stata and are put to effective use in this one-of-a-kind workbook.

Paired with a traditional methods text, this companion volume equips students to analyze real political science research and comes complete with a CD-ROM that includes four customized datasets: two individual-level survey datasets (200 variables from the 2004 National Election Study and 150 variables from the 2002 General Social Survey), and two datasets containing aggregate-level variables on the fifty states and on 114 nations of the world.

Table of Contents

Introduction: Getting Started
Copying the Data Files to Floppy Disk or Other Portable Media
How to Handle the Data Sets
Contents of the Datasets

1. Introduction to Stata
Commands covered: describe, codebook, set more off, log using, search, help
Changing General Preferences
Obtaining Information about a Dataset
Obtaining Information about Variables
Closer Look Box: Obtaining Specific
Variable Information with Define Notes
Creating and Viewing a Log File
Printing Results
Getting Help

2. Descriptive Statistics
Commands covered: tab1, summarize, detail, sktest, histogram
Interpreting Measures of Central Tendency and Variation
Describing Nominal Variables
Describing Ordinal Variables
Describing Interval Variables
Obtaining Bar Charts and Histograms
Closer Look Box: The Submit button and the OK button: What’s the difference?

3. Transforming Variables
Commands covered: recode, generate; generate, recode; generate; tabulate, generate; label variable; label define; label values; drop; aorder
Transforming Categorical Variables
Transforming Interval Variables
Closer Look Box: The xtile command
The label define and label values commands
Creating an Additive Index

4. Making Comparisons
Commands covered: tabulate, column; tabulate, summarize; graph bar; format
Cross-tabulation analysis
Mean comparison analysis
Closer Look Box: The format command
Visualizing Relationships with Bar Charts
Closer Look Box: The replace command

5. Making Controlled Comparisons
Commands covered: bysort, tabulate, col; tabulate, summarize; graph bar
Cross-tabulation analysis with a control variable
Cross-tabulation Analysis with a Control Variable
Closer Look Box: The if qualifier
Bar Charts for Controlled Comparisons with an Interval-level Dependent Variable

6. Making Inferences about Sample Means
Commands Covered: ttest; ttest, by; robvar, by
Describing a Sample Mean
Testing the Difference Between Two Sample Means

7. Chi-square and Measures of Association
Commands covered: (tabulate option) chi2; (tabulate option) taub; (tabulate option) V; somersd; lambda; which, ssc install Installing lambda and somersd
Analyzing ordinal-level relationships
Analyzing nominal-level relationships
A Problem with Lambda

8. Correlation and Linear Regression
Commands covered: correlate; regress; graph twoway (scatter); graph twoway (scatter)(lfit)
The correlate Command and the regress Command
Closer Look Box: R-squared and Adjusted R-squared: What’s the Difference?
Creating a Scatterplot
Exploring Multivariate Relationships with Regression

9. Dummy Variables and Interaction Effects
Commands covered: xi: regression; char [omit]
Regression With Dummy Variables
Closer Look Box: The test Command
Interaction Effects In Multiple Regression
Graphing Linear Prediction Lines for Interaction Relationships

10. Logistic Regression
Commands covered: logit; logistic; predict; adjust, by pr gen; quietly:; tabstat, by
The logit Command and the logistic Command
Logistic Regression with Multiple Independent Variables
Closer Look Box: The estimates
Command and the lrtest Command
Working with Predicted Probabilities: Models with One Independent Variable
Working with Predicted Probabilities: Models with Multiple Independent Variables

11. Doing Your Own Political Analysis
Commands covered: insheet
Five Doable Ideas
Doing Research on the U.S. Senate
Closer Look Box: The Stata Data Editor
Writing It Up

Testimonials

“Pollock’s Stata Companion to Political Analysis is a welcomed addition given Stata’s rising popularity among political scientists. As a regular Stata user, the Companion allows me to employ the same software in my undergraduate methods courses that I use in my own research. It is the best introduction to a powerful statistical software package and the process of political analysis I have seen. Students are provided with clearly illustrated instructions on how to use Stata to analyze real data. Then, through engaging and politically relevant exercises that often employ an ‘arguing pundits’ format, students who are traditionally fearful of statistics not only gain a strong comprehension of statistical techniques, but an appreciation of the utility of statistical analysis for understanding the political world. I find it to be the most useful, direct and politically-relevant publication of its kind for undergraduate instruction.”

- Robert R. Preuhs, University of Colorado-Boulder

“Philip Pollock provides such an intuitive and precise understanding of the basics of social science statistics that I have actually recommended this text as a quick reference for beginning graduate students. His explication of the basics of doing statistical analysis, along with recommended strategies for inquiry is excellent. That the text also provides an accessible introduction to Stata only makes it better.”

- Jan Leighley, University of Arizona

“Pollock's Stata Companion to Political Analysis gives practical instruction on the use of Stata that many students and even researchers will find useful. His step-by-step instructions are clear, concise, and easy to follow.”

- Paul J. Wahlbeck, George Washington University
Bio(s)
Philip H. Pollock III, University of Central Florida
Philip H. Pollock III is professor of political science at the University of Central Florida. He has taught courses in research methods at the undergraduate and graduate levels for nearly 30 years. His main research interests are American public opinion, voting behavior, techniques of quantitative analysis, and the scholarship of teaching and learning. His recent research has been on the effectiveness of Internet-based instruction. Pollock’s research has appeared in the American Journal of Political Science, Social Science Quarterly, and British Journal of Political Science. Recent scholarly publications include articles in Political Research Quarterly, the Journal of Political Science Education, and PS: Political Science and Politics.
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