The essentials of political analysis

書誌事項

The essentials of political analysis

Philip H. Pollock III

CQ Press, an imprint of Sage, c2016

5th ed

  • : pbk

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注記

Includes index

内容説明・目次

内容説明

"Overall, this is the best political science research methods book I've seen." -William Field, Rutgers University Building students' analytic abilities and developing their statistical reasoning with new data, fresh exercises, and engaging examples, this accessible introduction to the essential elements of political analysis walks students through the basics-measuring concepts, describing variables, formulating and testing hypotheses, controlling for alternative explanations, and interpreting graphic displays, and nearly 50 practical exercises motivate them to use their new skills with confidence. New to this edition: All examples updated with current data sources Treatment of visual depictions of variables and relationships and enhanced coverage of logistic regression A total of 48 end-of-chapter exercises, many new or completely revised More accessible discussion of spurious, additive, and interaction relationships Coverage of box plots and error bar charts New discussion of ways to represent probabilities in logistic regression

目次

Introduction What This Book Is About Facts and Values in Perspective The Scientific Approach Conclusion Chapter 1: The Definition and Measurement of Concepts Conceptual Definitions Operational Definitions Summary Key Terms Exercises Chapter 2: Measuring and Describing Variables Measuring Variables Describing Variables Summary Key Terms Exercises Chapter 3: Proposing Explanations, Framing Hypotheses, and Making Comparisons Proposing Explanations Framing Hypotheses Making Comparisons Graphing Relationships and Describing Patterns Summary Key Terms Exercises Chapter 4: Research Design and the Logic of Control Experimental Designs Controlled Comparisons Three Scenarios Summary Key Terms Exercises Chapter 5: Making Controlled Comparisons Cross-tabulation Analysis Graphing Controlled Comparisons An Example of Interaction Mean Comparison Analysis Summary Key Terms Exercises Chapter 6: Foundations of Statistical Inference Population Parameters and Sample Statistics Random Sampling The Standard Error of a Sample Mean Inference Using the Normal Distribution Inference Using the Student's t-Distribution What About Sample Proportions? Summary Key Terms Exercises Chapter 7: Tests of Significance and Measures of Association Statistical Significance Measures of Association Summary Key Terms Exercises Chapter 8: Correlation and Linear Regression Correlation Bivariate Regression R-square Dummy Variable Regression Multiple Regression Summary Key Terms Exercises Chapter 9: Logistic Regression The Logistic Regression Approach Finding the Best Fit: Maximum Likelihood Estimation Logistic Regression with Multiple Independent Variables Working with Probabilities: MEMs and MERs Summary Key Terms Exercises Chapter 10: Thinking Empirically, Thinking Probabilistically Thinking Empirically Thinking Probabilistically

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