Figures and Tables
Preface
Introduction: Getting Started
Chapter 1 Introduction to Stata
| Information About a Dataset |
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| Information About Variables |
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| General Syntax of Stata Commands |
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| Printing Results and Copying Output |
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Chapter 2 Descriptive Statistics
| Interpreting Measures of Central Tendency and Variation |
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| Describing Nominal Variables |
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| A CLOSER LOOK: Weighting the GSS and NES Datasets |
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| Describing Ordinal Variables |
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| Describing Interval Variables |
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| Bar Charts for Nominal and Ordinal Variables |
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| A CLOSER LOOK: Stata’s Graphics Editor |
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| Histograms for Interval Variables |
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| Obtaining Case-Level Information With sort and list |
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Chapter 3 Transforming Variables
| Creating Indicator Variables |
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| Working With Variable Labels |
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| Collapsing Variables Into Simplified Categories |
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| Centering or Standardizing a Numeric Variable |
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| Creating an Additive Index |
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Chapter 4 Making Comparisons
| Cross-Tabulation Analysis |
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| Visualizing Comparisons With Nominal or Ordinal Dependent Variables |
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| A CLOSER LOOK: The replace Command |
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| A CLOSER LOOK: The format Command |
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| Visualizing Comparisons With Interval-Level Dependent Variables |
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| Strip Charts: Graphs for Small-N Datasets |
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Chapter 5 Making Controlled Comparisons
| Cross-Tabulation Analysis With a Control Variable |
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| A CLOSER LOOK: The “If ” Qualifier |
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| Visualizing Controlled Comparisons With Categorical Dependent Variables |
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| Mean Comparison Analysis With a Control Variable |
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| Visualizing Controlled Mean Comparisons |
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Chapter 6 Making Inferences About Sample Means
| Finding the 95 Percent Confidence Interval of a Sample Mean |
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| Testing a Hypothetical Claim About the Population Mean |
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| Testing the Difference Between Two Sample Means |
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| A CLOSER LOOK: Inferences About Means With Unweighted Data |
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| Extending the mean and lincom Commands to Other Situations |
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| Making Inferences About Sample Proportions |
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| A CLOSER LOOK: Inferences About Proportions With Unweighted Data |
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Chapter 7 Chi-Square and Measures of Association
| Analyzing Ordinal-Level Relationships |
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| A CLOSER LOOK: Analyzing Unweighted Data With The tabulate Command |
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| Analyzing an Ordinal-Level Relationship With a Control Variable |
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| Analyzing Nominal-Level Relationships |
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Chapter 8 Correlation and Linear Regression
| A CLOSER LOOK: Treating Census as a Sample |
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| A CLOSER LOOK: R-Squared and Adjusted R-Squared: What’s the Difference? |
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| Creating a Scatterplot With a Linear Prediction Line |
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| A CLOSER LOOK: Bubble Plots |
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| Correlation and Regression Analysis With Weighted Data |
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Chapter 9 Dummy Variables and Interaction Effects
| Regression With Multiple Dummy Variables |
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| Interaction Effects in Multiple Regression |
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| Graphing Linear Prediction Lines for Interaction Relationships |
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| Changing the Reference Category |
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Chapter 10 Logistic Regression
| Thinking About Odds, Logged Odds, and Probabilities |
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| Estimating Logistic Regression Models |
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| Logistic Regression With Multiple Independent Variables |
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| A CLOSER LOOK: Comparing Logistic Regression Models With the estimates and lrtest Commands |
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| Graphing Predicted Probabilities With One Independent Variable |
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| Graphing Predicted Probabilities With Multiple Independent Variables |
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Chapter 11 Doing Your Own Political Analysis
| Importing Data Into Stata |
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Appendix
| Table A-1: Variables in the GSS Dataset in Alphabetical Order |
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| Table A-2: Variables in the NES Dataset in Alphabetical Order |
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| Table A-3: Variables in the States Dataset by Topic |
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| Table A-4: Variables in the World Dataset by Topic |
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