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
- 3 Hurricane Names
- 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
- Appendix: Coding with MULTIVRS in Stata
- References
- Index
8 - Some Alternative Approaches
from Part II - The Computational 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
- 3 Hurricane Names
- 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
- Appendix: Coding with MULTIVRS in Stata
- References
- Index
Summary
In this chapter we cover alternative approaches to multiverse analysis, such as specification curve analysis, sample splitting, and model selection.
- Type
- Chapter
- Information
- Multiverse AnalysisComputational Methods for Robust Results, pp. 115 - 122Publisher: Cambridge University PressPrint publication year: 2025