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A Stata Companion to Political Analysis
Comment from the Stata technical groupPhilip Pollock’s A Stata Companion to Political Analysis can guide you whether you are teaching or taking your first political science course. The book will teach you how to control Stata with either the command line or the graphical user interface—whichever mode fits the task. Pollock also surveys the statistical methods that professional political scientists use. His treatment of research methods deftly incorporates data management, graphical analysis, and statistics into the political science domain. The book's thorough examples show how to complete each task with Stata while giving firsthand experience in political research. Table of contentsTables and Figures
Preface
Getting Started
Copying the Data Files to Floppy Disk or Other Portable Media
How to Handle the Datasets Contents of the Datasets Notes 1. Introduction to Stata
Commands Covered: describe, codebook, set more off, search, help
Changing General Preferences
Obtaining Information about a Dataset Obtaining Information about Variables Creating and Viewing a Log File A Closer Look: Obtaining Specific Variable Information with Define Notes Printing Results Getting Help Exercises Notes 2. Descriptive Statistics
Commands Covered: tab1, summarize, sktest, histogram, Submit button
Interpreting Measures of Central Tendency and Variation Describing Nominal Variables Describing Ordinal Variables Describing Interval-level Variables Obtaining Bar Charts and Histograms
Creating Bar Charts
A Closer Look: The Submit Button and the OK Button: What's the Difference?Creating Histograms Exercises Notes 3. Transforming Variables
Commands Covered: recode, generate; generate, recode; xtile,
nquantiles; generate; tabulate, generate; label
variable; label define; label values; drop;
aorder
Transforming Categorical Variables Transforming Interval-level Variables A Closer Look: The xtile Command The label define and label values Commands Creating an Additive Index Creating Indicator Variables Exercises Notes 4. Making Comparisons
Commands covered: tabulate, column; tabulate, summarize;
graph bar; format; replace
Cross-tabulation Analysis Mean Comparison Analysis A Closer Look: The format Command Visualizing Relationships with Bar Charts
Graphing an Interval-level Dependent Variable
A Closer Look: The replace CommandGraphing a Categorical Dependent Variable Exercises Notes 5. Making Controlled Comparisons
Commands Covered: (prefix) bysort:, tabulate, col; tabulate,
summarize; graph bar; if
Cross-tabulation Analysis with a Control Variable A Closer Look: The if Qualifier Bar Charts for Controlled Comparisons with a Categorical Dependent Variable Mean Comparison Analysis with a Control Variable Bar Charts for Controlled Comparisons with an Interval-level Dependent Variable Exercises Notes 6. Making Inferences about Sample Means
Commands Covered: ttest; ttest, by; robvar, by
Describing a Sample Mean Testing the Difference between Two Sample Means Exercises Notes 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 Exercises Notes 8. Correlation and Linear Regression
Commands Covered: correlate; regress; graph twoway (scatter); graph
twoway (scatter)(lfit)
The correlate Command and the regress Command Creating a Scatterplot A Closer Look: R-squared and Adjusted R-squared: What's the difference? Exploring Multivariate Relationships with Regression Exercises Notes 9. Dummy Variables and Interaction Effects
Commands Covered: xi: regress; char [omit]; test
Regression with Dummy Variables A Closer Look: The test Command Interaction Effects in Multiple Regression Graphing Linear Prediction lines for Interaction Relationships Exercises Notes 10. Logistic Regression
Commands Covered: logit; logistic; estimates store; lrtest, force;
predict; adjust; by pr gen; quietly:; tabstat,
by
The logit Command and the logistic Command Logistic Regression with Multiple Independent Variables A Closer Look: 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 Exercises Notes 11. Doing Your Own Political Analysis
Command Covered: insheet
Five Doable Ideas
Political Knowledge
Doing Research on the U.S. SenateEconomic Performance and Election Outcomes State Courts and Criminal Procedure Electoral Turnout in Comparative Perspective Congress
Finding Raw Data
A Closer Look: The Stata Data EditorHow to Code Raw Data
Two Possible Coding Shortcuts
Writing It UpImporting Text Data
The Research Question
NotesPrevious Research Data, Hypotheses, and Analysis Conclusions and Implications |
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