图书简介

Tables, Figures, and Boxes \\ Preface \\ Acknowledgments \\ About the Authors \\ Introduction \\ Facts and Values in Perspective \\ The Scientific Approach \\ What This Book Is About \\ Conclusion \\ Key Terms \\ Notes \\ CHAPTER 1 • The Definition and Measurement of Concepts \\ Learning Objectives \\ Conceptual Definitions \\ Operational Definitions \\ Measurement Error \\ Reliability and Validity \\ Working with Datasets, Codebooks, and Software \\ Summary \\ Key Terms \\ Exercises \\ Notes \\ CHAPTER 2 • Measuring and Describing Variables \\ Learning Objectives \\ Essential Features \\ Levels of Measurement \\ Describing Variables \\ Transforming Variables \\ Summary \\ Key Terms \\ Exercises \\ Notes \\ CHAPTER 3 • Proposing Explanations, Framing Hypotheses, and Making Comparisons \\ Learning Objectives \\ “All Models Are Wrong, But Some Are Useful” \\ Proposing Explanations \\ Framing Hypotheses \\ Common Mistakes in Hypothesis Writing \\ Making Comparisons \\ Graphing Relationships and Describing Patterns \\ Summary \\ Key Terms \\ Exercises \\ Notes \\ CHAPTER 4 • Research Design, Research Ethics, and Evidence of Causation \\ Learning Objectives \\ Establishing Causation \\ Experimental Designs \\ Selecting Cases for Analysis \\ Conducting Research Ethically \\ Summary \\ Key Terms \\ Exercises \\ Notes \\ CHAPTER 5 • Making Controlled Comparisons \\ Learning Objectives \\ The Logic of Controlled Comparisons \\ Essential Terms and Concepts \\ Effect of Partisanship on Gun Control Vote, Controlling for Gender: An Illustrative Example \\ Controlled Mean Comparisons \\ Identifying Patterns \\ Advanced Methods of Making Controlled Comparisons \\ Summary \\ Key Terms \\ Exercises \\ Notes \\ CHAPTER 6 • Foundations of Statistical Inference \\ Learning Objectives \\ Population Parameters and Sample Statistics \\ The Central Limit Theorem and the Normal Distribution \\ Quantifying Standard Errors \\ Confidence Intervals \\ Sample Size and the Margin of Error of a Poll \\ Inferences with Small Batches: The Student’s t-Distribution \\ Summary \\ Key Terms \\ Exercises \\ Notes \\ CHAPTER 7 • Tests of Significance and Measures of Association \\ Learning Objectives \\ Statistical Significance and Null Hypothesis Testing \\ One-Sample Significance Tests \\ Two-Sample Significance Tests \\ The Chi-square Test \\ Measures of Association \\ Criticisms of Null Hypothesis Testing \\ Summary \\ Key Terms \\ Exercises \\ Notes \\ CHAPTER 8 • Correlation and Linear Regression \\ Learning Objectives \\ Correlation \\ Bivariate Regression \\ Educational Attainment and Voter Turnout in States Example \\ R-square \\ Multiple Regression \\ Some Practical Issues: Multicollinearity, Parsimony, and Missing Data \\ Analyzing Residuals to Evaluate Linear Regression Models \\ Summary \\ Key Terms \\ Exercises \\ Notes \\ CHAPTER 9 • Logistic Regression \\ Learning Objectives \\ The Logistic Regression Approach \\ Logistic Regression Approach to Vote Choice in the 2016 Presidential Election \\ Finding the Best Fit: Maximum Likelihood Estimation \\ Logistic Regression with Multiple Independent Variables \\ Graphing Predicted Probabilities with Multiple Independent Variables \\ Summary \\ Key Terms \\ Exercises \\ Notes \\ CHAPTER 10 • Conducting Your Own Political Analysis \\ Picking a Good Topic \\ Getting Focused and Staying Motivated \\ Reviewing Prior Literature \\ Collecting Data \\ Writing It Up \\ Maintain a Scientific Mindset \\ Key Terms \\ Exercises \\ Notes \\ Index

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