Statistics for Political Analysis
eBook - ePub

Statistics for Political Analysis

Understanding the Numbers

  1. English
  2. ePUB (mobile friendly)
  3. Available on iOS & Android
eBook - ePub

Statistics for Political Analysis

Understanding the Numbers

About this book

Statistics are just as vital to understanding political science as the study of institutions, but getting students to understand them when teaching a methods course can be a big challenge. Statistics for Political Analysis makes understanding the numbers easy. The only introduction to statistics book written specifically for political science undergraduates, this book explains each statistical concept in plain language—from basic univariate statistics and the basic measures of association to bivariate and multivariate regression—and uses real world political examples. Students learn the relevance of statistics to political science, how to understand and calculate statistics mathematically, and how to obtain them using SPSS. All calculations are modeled step-by-step, giving students needed practice to master the process without making it intimidating. Each chapter concludes with exercises that get students actively applying the steps and building their professional skills through data calculation, analysis, and memo writing.

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Yes, you can access Statistics for Political Analysis by Theresa Marchant-Shapiro in PDF and/or ePUB format, as well as other popular books in Politics & International Relations & International Relations. We have over one million books available in our catalogue for you to explore.

Table of contents

  1. Cover
  2. Half Title
  3. Acknowledgements
  4. Title Page
  5. Copyright Page
  6. Detailed Contents
  7. Preface
  8. About the Author
  9. Chapter 1 The Political Use of Numbers: Lies and Statistics
  10. Chapter 2 Measurement: Counting the Biggel-Balls
  11. Chapter 3 Measures of Central Tendency: That's Some Mean Baseball
  12. Chapter 4 Measures of Dispersion: Missing the Mark
  13. Chapter 5 Continuous Probability: So What's Normal Anyway?
  14. Chapter 6 Means Testing: Sampling a Population
  15. Chapter 7 Hypothesis Testing: Examining Relationships
  16. Chapter 8 Describing the Pattern: What do You See?
  17. Chapter 9 Chi-Square and Cramer's V: What do You Expect?
  18. Chapter 10 Measures of Association: Making Connections
  19. Chapter 11 Multivariate Relationships: Taking Control
  20. Chapter 12 Bivariate Regression: Putting your Ducks in a Line
  21. Chapter 13 Multiple Regression: The Final Frontier
  22. Chapter 14 Understanding the Numbers: Knowing what Counts
  23. Appendices
  24. Glossary
  25. Index