1
Front Matter
6 chapters2
Part I: Foundations of Political Analytics
6 chapters3
Part II: Public Opinion and Survey Research
6 chapters4
Part III: Elections and Voting Behavior
7 chapters- Part III: Elections, Voting, and the Electorate
- Chapter 11: The American Voter and Beyond
- Chapter 12: Partisanship, Polarization, and Sorting
- Chapter 13: Demographics and the Electorate
- Chapter 14: Turnout — Who Votes and Why
- Chapter 15: Campaign Effects — Do They Matter?
- Chapter 16: Visualizing the Electorate (Python Lab)
5
Part IV: Election Forecasting and Modeling
7 chapters- Part IV: Forecasting and Modeling Elections
- Chapter 17: Poll Aggregation: From RealClearPolitics to FiveThirtyEight
- Chapter 18: Fundamentals Models: The Economy, Incumbency, and Structure
- Chapter 19: Probabilistic Forecasting and Uncertainty
- Chapter 20: When Models Fail: 2016, 2020, and Beyond
- Chapter 21: Building a Simple Election Model (Python Lab)
- Chapter 22: Down-Ballot and Global Forecasting
6
Part V: Media, Messaging, and Political Communication
6 chapters- Part V: Media, Messaging, and the Information Environment
- Chapter 23: The Media Ecosystem and Political Information
- Chapter 24: Framing, Priming, and Persuasion
- Chapter 25: Political Advertising: From TV Spots to Targeted Ads
- Chapter 26: Misinformation, Disinformation, and Fact-Checking
- Chapter 27: Analyzing Political Text and Media (Python Lab)
7
Part VI: Campaigns, Strategy, and Applied Analytics
7 chapters- Part VI: Campaigns and Strategy
- Chapter 28: The Modern Data-Driven Campaign
- Chapter 29: Voter Targeting and Microtargeting
- Chapter 30: Field Experiments in Politics
- Chapter 31: Digital Campaigning and Social Media Strategy
- Chapter 32: Opposition Research and Rapid Response
- Chapter 33: Building a Voter Contact Dashboard (Python Lab)
8
Part VII: Populism, Movements, and Political Change
5 chapters9
Part VIII: Ethics, Equity, and the Future
5 chapters10
Part IX: Capstone Projects
4 chapters11
Appendices
9 chapters- Appendix A: Research Methods Primer
- Appendix B: Python and Data Toolkit Reference
- Appendix C: Data Sources Guide
- Appendix D: Key Studies Summary
- Appendix E: Historical Timeline of Political Analytics
- Appendix F: Templates and Worksheets
- Appendix G: Glossary of Key Terms in Political Analytics
- Appendix H: Answers to Selected Exercises
- Appendix I: Bibliography
Explore Related Books
More open-access textbooks from our library
AI Ethics 304 pages AI & ML for Business 304 pages AI Engineering 307 pages Algorithmic Addiction 303 pages Applied Psychology 303 pages College Football Analytics 213 pages Creator Economy 318 pages Data & Society 305 pages Ethical Hacking 318 pages Fandom 332 pages Handling Confrontation 306 pages How Your House Works 306 pages Intermediate COBOL 334 pages Learning COBOL 322 pages Prediction Markets 316 pages Media Literacy 314 pages NFL Analytics 182 pages Physics of Music 316 pages Basketball Analytics 0 pages Soccer Analytics 0 pages Propaganda, Power, and Persuasion 0 pages Python for Business 0 pages RegTech 0 pages Science of Seduction 0 pages Sports Betting 0 pages Science of Luck 0 pages Vibe Coding 0 pages Why They Watch 0 pages Working with AI 0 pages