图书简介

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

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