Figures Preface Acknowledgements About the Authors Introduction: Getting Started with SPSS I.1 Downloading the Datasets I.2 SPSS Full and Student Versions: What's the Difference? I.3 Watch Screencasts from SAGE Edge Chapter 1: Using SPSS for Data Analysis 1.1 The Data Editor 1.2 Setting Options for Variable Lists 1.3 The Viewer 1.4 Selecting, Printing, and Saving Output 1.5 How to Format an SPSS Table 1.6 Saving Commands in Syntax Files 1.7 Getting Help 1.8 Chapter Review Chapter 1 Exercises Chapter 2: Descriptive Statistics 2.1 How SPSS Stores Information about Variables 2.2 Identifying Levels of Measurement 2.3 Describing Nominal Variables 2.4 Describing Ordinal Variables 2.5 Describing Interval Variables 2.6 Using the Chart Editor to Modify Graphics 2.7 Obtaining Case-level Information with Case Summaries 2.8 Chapter Review Chapter 2 Exercises Chapter 3: Creating and Transforming Variables 3.1 Creating Indicator Variables 3.2 Working with Variable Labels 3.3 Recoding Interval-level Variables into Simplified Categories 3.4 Simplifying an Internal-level Variable with Visual Binning 3.5 Centering or Standardizing a Numeric Variable 3.6 Using Compute to Create an Additive Index 3.7 Chapter Review Chapter 3 Exercises Chapter 4: Making Comparisons 4.1 Cross-Tabulation Analysis 4.2 Visualizing Cross-Tabulation Analysis with a Bar Chart 4.3 Mean Comparison Analysis 4.4 Visualizing Mean Comparison Analysis with a Line Chart 4.5 Making Comparisons with Interval-Level Independent Variables 4.6 Chapter Review Chapter 4 Exercises Chapter 5: Graphing Relationships and Describing Patterns 5.1 Graphs for Binary Dependent Variables 5.2 Graphs for Nominal Dependent Variables 5.3 Graphs for Ordinal-Level Dependent Variables 5.4 Graphs for Interval-Level Dependent Variables 5.5 Chapter Review Chapter 5 Exercises Chapter 6: Random Assignment and Sampling 6.1 Random Assignment 6.2 Analyzing the Results of an Experiment 6.3 Random Sampling 6.4 Selecting Cases for Qualitative Analysis 6.5 Analyzing Data Ethically 6.6 Chapter Review Chapter 6 Exercises Chapter 7: Making Controlled Comparisons 7.1 Cross-Tabulation Analysis with a Control Variable 7.2 Graphs for Controlled Cross-Tabulations 7.3 Mean Comparison Analysis with a Control Variable 7.4 Visualizing Controlled Mean Comparisons 7.5 Controlled Comparisons with Interval-Level Control Variables 7.6 Chapter Review Chapter 7 Exercises Chapter 8: Foundations of Statistical Inference 8.1 Estimating a Population Proportion with Computer Simulation 8.2 Expected Shape of Sampling Distributions 8.3 Confidence Intervals and Margins of Error 8.4 Student's t-Distribution: When You're Not Completely Normal 8.5 Chapter Review Chapter 8 Exercises Chapter 9: Hypothesis Tests with One or Two Samples 9.1 Role of the Null Hypothesis 9.2 Testing Hypothesis about a Population Proportion 9.3 Testing Hypothesis about Difference between Two Population Proportions 9.4 Testing Hypothesis about Population Mean 9.5 Testing Hypothesis about Difference between Two Population Means 9.6 Chapter Review Chapter 9 Exercises Chapter 10: Chi-Square Test and Analysis of Variance 10.1 The Chi-Square Test of Independence 10.2 Measuring the Strength of Association between Categorical Variables 10.3 Chi-Square Test and Measures of Association in Controlled Comparisons 10.4 Analysis of Variance 10.5 Chapter Review Chapter 10 Exercises Chapter 11: Correlation and Bivariate Regression 11.1 Correlation Analysis 11.2 Bivariate Regression 11.3 Creating Scatterplots for Bivariate Regression Analysis 11.4 Chapter Review Chapter 11 Exercises Chapter 12: Multiple Regression 12.1 Estimating and Interpreting Multiple Regression 12.2 Regression with Multiple Dummy Variables 12.3 Interaction Effects in Multiple Regression 12.4 Visualizing Multiple Regression Analysis with Bubble Plots 12.5 Graphing Interaction Relationships 12.6 Chapter Review Chapter 12 Exercises Chapter 13: Analyzing Regression Residuals 13.1 Expected Values, Observed Values, and Regression Residuals 13.2 Squared and Standardized Residuals 13.3 Assumptions about Regression Residuals 13.4 Analyzing Graphs of Regression Residuals 13.5 Testing Regression Assumptions with Residual Values 13.6 Identifying Outliers and Influential Observations 13.7 What If You Diagnose Problems with Residuals? 13.8 Chapter Review Chapter 13 Exercises Chapter 14: Logistic Regression 14.1 Odds, Logged Odds, and Probabilities 14.2 Estimating Logistic Regression Models 14.3 Graphing Predicted Probabilities with One Independent Variable 14.4 Logistic Regression with Multiple Independent Variables 14.5 Graphing Predicted Probabilities with Multiple Independent Variables 14.6 Chapter Review Chapter 14 Exercises Chapter 15 Doing Your Own Political Analysis 15.1 Doable Research Ideas 15.2 Importing Data into SPSS 15.3 Writing It Up 15.4 Chapter Review Chapter 15 Exercises Appendix, Table A-1: Variables in the GSS Dataset in Alphabetical Order Appendix, Table A-2: Variables in the ANES Dataset in Alphabetical Order Appendix, Table A-3: Variables in the States Dataset by Topic Appendix, Table A-4: Variables in the World Dataset by Topic