Multiverse Analysis - Computational Methods for Robust Results

"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"--

Sommario

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.

Info autore

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.Erin Cumberworth is a sociologist who studies inequality and public policy. She received her Ph.D. from Stanford University in 2017.

Riassunto

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.

Dettagli sul prodotto

• Autori: Erin Cumberworth, Erin (Stanford University Cumberworth, Cristobal Young, Cristobal (Cornell University Young
• Editore: Cambridge University Press ELT
• Lingue: Inglese
• Formato: Copertina rigida
• Pubblicazione: 01.01.2025
• EAN: 9781316518786
• ISBN: 978-1-316-51878-6
• Pagine: 286
• Serie: Analytical Methods for Social Research
• Categorie: Scienze naturali, medicina, informatica, tecnica > Informatica, EDP > Tematiche generali, enciclopedie; Scienze sociali, diritto, economia > Scienze sociali, tematiche generali; COMPUTERS / Computer Science, SOCIAL SCIENCE / Research, SOCIAL SCIENCE / Statistics, REFERENCE / Research, Social research & statistics, Information technology: general issues, Social research and statistics, Data analysis: general, Data science and analysis: general, Research methods: general, Computer applications in the social and behavioural sciences, Research methods / methodology