Multiverse Analysis

Auteur

Cristobal Young is Associate Professor of Sociology at Cornell University. He received his PhD from Princeton University in 2010. His first book, The Myth of Millionaire Tax Flight: How Place Still Matters for the Rich, was published with Stanford University Press in 2017.

Texte du rabat

In the crisis of science, there is growing scepticism about the reliability and objectivity of research. This book develops computational multiverse methods to make evidence more transparent, and shows how to evaluate the credibility and robustness of research.

Contenu

Part I. Introduction: 1. The Many Worlds of Analysis; 2. The Multiverse as a Philosophy of Science; Part II. The Computational Multiverse: 3. Hurricane Names: An Applied Introduction; 4. The Multiverse Algorithm; 5. Empirical Multiverses; 6. Influence Analysis and Scope Conditions; 7. Good and Bad Controls; 8. Some Alternative Approaches; Part III. Expanding the Multiverse: 9. Functional Form Robustness; 10. Data Processing: Invisible Decisions that Matter; 11. A Data-Processing Multiverse: Re-Analysis of Regnerus (2012) and Critics; 12. Retractions in Social Science: Mis-Adventures in Data Processing; 13. Weights in the Multiverse; 14. Conclusion; Appendix: Coding with MULTIVRS in Stata.