Public opinion polling is in crisis. People aren't responding to polls and misses in critical elections have undermined the field's credibility. Polling at a Crossroads points a way forward by presenting an intuitive new paradigm that confronts the full spectrum of challenges facing modern polling.
Public opinion polling is in crisis. People aren't responding to polls and misses in critical elections have undermined the field's credibility. Polling at a Crossroads points a way forward by presenting an intuitive new paradigm that confronts the full spectrum of challenges facing modern polling.
Michael A. Bailey is Walsh Professor in the Department of Government and McCourt School of Public Policy at Georgetown University, where he directs the Data Science for Public Policy program. His research has been published in top academic journals. He is author of Real Econometrics (2020) and The Constrained Court (2011).
Inhaltsangabe
Part I. Polling in Context: 1. Modern Polling: Challenges and Opportunities; 2. The Story of Polling in 2.5 Fiascos; 3. Weighting: An Appreciation and Critique; 4. The Wild West of Contemporary Polling; Part II. A Framework for Modern Polling: 5. Non Ignorable Non Response; 6. Contemporary Polling and Non Ignorable Non Response; Part III. Fighting Non Ignorable Non Response: 7. Bounding Damage from Non Ignorable Non Response; 8. Selection Models for Non Ignorable Non Response; 9. Next Generation Selection Models; 10. Randomized Response Instruments; 11. Putting it Together; Part IV Applications: 12. Non Ignorable Non Response in Political Surveys; 13. Non Ignorable Non Response in Public Health; 14. Conclusion.
Part I. Polling in Context: 1. Modern Polling: Challenges and Opportunities; 2. The Story of Polling in 2.5 Fiascos; 3. Weighting: An Appreciation and Critique; 4. The Wild West of Contemporary Polling; Part II. A Framework for Modern Polling: 5. Non Ignorable Non Response; 6. Contemporary Polling and Non Ignorable Non Response; Part III. Fighting Non Ignorable Non Response: 7. Bounding Damage from Non Ignorable Non Response; 8. Selection Models for Non Ignorable Non Response; 9. Next Generation Selection Models; 10. Randomized Response Instruments; 11. Putting it Together; Part IV Applications: 12. Non Ignorable Non Response in Political Surveys; 13. Non Ignorable Non Response in Public Health; 14. Conclusion.
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