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.
Chapter 1: Introduction to Stata Information about a Dataset Information about Variables Do-Files Log Files Printing Results and Copying Output A CLOSER LOOK: Weighting the gss2012 and nes2012 Datasets Getting Help Exercises Notes Chapter 2: Descriptive Statistics Interpreting Measures of Central Tendency and Variation Describing Nominal Variables Describing Ordinal Variables Describing Interval Variables Obtaining Bar Charts and Histograms Obtaining Case-Level Information with sort and list Exercises Notes Chapter 3: Transforming Variables Transforming Categorical Variables Transforming Interval Variables A CLOSER LOOK: The xtile command The label define and label values Commands Creating an Additive Index Creating Indicator Variables Exercises Notes Chapter 4: Making Comparisons Cross-Tabulation Analysis Mean Comparison Analysis A CLOSER LOOK: The format Command A CLOSER LOOK: The replace Command Exercises Notes Chapter 5: Making Controlled Comparisons Cross-Tabulation Analysis with a Control Variable A CLOSER LOOK: The If Qualifier Mean Comparison Analysis with a Control Variable Exercises Notes Chapter 6: Making Inferences about Sample Means Describing a Sample Mean Testing the Difference between Two Sample Means Extending the mean and lincom Commands Exercises Notes Chapter 7: Chi-square and Measures of Association Analyzing Ordinal-Level Relationships Analyzing an Ordinal-Level Relationship with a Control Variable Analyzing Nominal-Level Relationships Analyzing Unweighted Data with the tabulate Command Exercises Notes Chapter 8: Correlation and Linear Regression The correlate Command and the regress Command A CLOSER LOOK: R-squared and Adjusted R-squared: What's the Difference? Creating a Scatterplot with a Linear Prediction Line Multiple Regression A CLOSER LOOK: Bubble Plots Correlation and Regression with Weighted Data Exercises Notes Chapter 9: Dummy Variables and Interaction Effects Regression with Dummy Variables A CLOSER LOOK: The test Command Interaction Effects in Multiple Regression Graphing Linear Prediction Lines for Interaction Relationships Exercises Notes Chapter 10: Logistic Regression 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 MERS-MEMS Hybrids Exercises Notes Chapter 11: Doing Your Own Political Analysis Five Doable Ideas Inputting Data Writing It Up Notes