Book contents
- Multiverse Analysis
- Analytical Methods for Social Research
- Multiverse Analysis
- Copyright page
- Contents
- Figures
- Tables
- Acknowledgments
- Part I Introduction
- Part II The Computational Multiverse
- Part III Expanding the Multiverse
- 9 Functional Form Robustness
- 10 Data Processing
- 11 Data Processing Multiverse Analysis of Regnerus and Critics
- 12 Retractions in Social Science
- 13 Weighting the Multiverse
- 14 Conclusion
- Appendix: Coding with MULTIVRS in Stata
- References
- Index
12 - Retractions in Social Science
Misadventures in Data Processing
from Part III - Expanding the Multiverse
Published online by Cambridge University Press: 28 February 2025
- Multiverse Analysis
- Analytical Methods for Social Research
- Multiverse Analysis
- Copyright page
- Contents
- Figures
- Tables
- Acknowledgments
- Part I Introduction
- Part II The Computational Multiverse
- Part III Expanding the Multiverse
- 9 Functional Form Robustness
- 10 Data Processing
- 11 Data Processing Multiverse Analysis of Regnerus and Critics
- 12 Retractions in Social Science
- 13 Weighting the Multiverse
- 14 Conclusion
- Appendix: Coding with MULTIVRS in Stata
- References
- Index
Summary
Retractions in social science often involve data processing errors. In this chapter, we discuss a set of seven recent retractions that are highly teachable moments of data processing mistakes. Let’s learn from these examples and hone our skills to prevent and detect analytical errors.
- Type
- Chapter
- Information
- Multiverse AnalysisComputational Methods for Robust Results, pp. 199 - 207Publisher: Cambridge University PressPrint publication year: 2025