图书简介
Political Science Research Methods helps students to understand the logic behind research design by guiding them through a step-by-step process that explains when and why a researcher would pursue different kinds of methods.
Tables, Figures, and Features \\ Preface \\ About the Authors \\ Chapter 1 • Introduction \\ Research on Income Inequality \\ Politics and the Gender Gap \\ The Case of Italian (Non) Tax Compliance \\ Protests and Repression in New Democracies \\ The Observer Effect in International Politics: Evidence from a Natural Experiment \\ Conclusion \\ Terms Introduced \\ Chapter 2 • The Empirical Approach to Political Science \\ Elements of Empiricism \\ The Importance of Theory \\ A Brief Overview of the Empirical Research Process \\ Reactions to the Empirical Approach: Practical Objections \\ Competing Points of View \\ Conclusion \\ Terms Introduced \\ Suggested Readings \\ Chapter 3 • Beginning the Research Process: Identifying a Research Topic, Developing Research Questions, and Reviewing the Literature \\ Specifying the Research Question \\ Sources of Ideas for Research Topics \\ Why Conduct a Literature Review? \\ Collecting Sources for a Literature Review \\ Writing a Literature Review \\ Anatomy of a Literature Review \\ Conclusion \\ Terms Introduced \\ Suggested Readings \\ Chapter 4 • The Building Blocks of Social Scientific Research: Hypotheses, Concepts, Variables, and Measurement \\ Proposing Explanations \\ Formulating Hypotheses \\ Defining Concepts \\ Devising Measurement Strategies \\ The Accuracy of Measurements \\ The Precision of Measurements \\ Conclusion \\ Terms Introduced \\ Suggested Readings \\ Chapter 5 • Sampling \\ The Basics of Sampling \\ How Do We Use a Sample to Learn About a Population? \\ Sampling Methods \\ Types of Samples \\ Conclusion \\ Terms Introduced \\ Suggested Readings \\ Chapter 6 • Research Design: Establishing Causation \\ Verifying Causal Assertions \\ Qualitative and Quantitative Methods and Analysis: Causes-of-Effects and Effects-of-Causes Approaches \\ Conclusion \\ Terms Introduced \\ Suggested Readings \\ Chapter 7 • Qualitative Research: Case Study Designs \\ Case Study Methods \\ Case Study Types \\ Using Cases to Explore Causal Mechanisms: Process Tracing \\ Generalizing from Cases Studies \\ Conclusion \\ Terms Introduced \\ Suggested Readings \\ Chapter 8 • Making Empirical Observations: Qualitative Analysis \\ Types of Data and Collection Techniques \\ Data Collection in Qualitative Research \\ Conclusion \\ Terms Introduced \\ Suggested Readings \\ Chapter 9 • Quantitative Research Designs \\ Randomized Experimental Designs \\ Natural Experiments \\ Nonrandomized Designs: Quasi-Experiments \\ Observational Studies \\ Conclusion \\ Terms Introduced \\ Suggested Readings \\ Chapter 10 • Quantitative Methods \\ The Wide Variety of Quantitative Projects \\ Sources of Data for Quantitative Studies \\ Data Management \\ Ethical Concerns with Quantitative Methods \\ Conclusion \\ Terms Introduced \\ Suggested Readings \\ Chapter 11 • Making Sense of Data: First Steps \\ The Data Matrix \\ Descriptive Statistics \\ Graphs for Presentation and Exploration \\ Conclusion \\ Terms Introduced \\ Suggested Readings \\ Chapter 12 • Testing Relationships \\ The Normal Distribution and z Scores \\ Confidence Intervals \\ Hypothesis Testing \\ Testing a Relationship with Two Samples \\ Conclusion \\ Terms Introduced \\ Suggested Readings \\ Chapter 13 • Analyzing Relationships for Categorical Data \\ The Basics of Identifying and Measuring Relationships \\ Table Summaries of Categorical Variable Associations \\ Measuring Strength of Relationships in Tables \\ Measures of Association: Statistics for Reporting the Strength of Relationships in Tables \\ Chi Square Test for Independence \\ Multivariate Analysis of Categorical Data \\ Analysis of Variance: Analyzing the Difference between Means for More Than Two Means \\ Conclusion \\ Terms Introduced \\ Suggested Readings \\ Chapter 14 • Regression \\ Logic of Regression \\ Minimizing the Sum of the Squared Error \\ The Linear Regression Model \\ Maximum Likelihood Models for Dichotomous Dependent Variables \\ Conclusion \\ Terms Introduced \\ Suggested Readings \\ Chapter 15 • The Research Report: An Annotated Example \\ Annotated Research Report Example \\ Appendixes \\ Appendix A: Normal Curve Tail Probabilities \\ Appendix B: Critical Values from t Distribution \\ Appendix C: Chi-Squared Distribution Values for Various Right-Tail Probabilities \\ Appendix D: F Distribution \\ Glossary \\ Index
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