Book contents
- Frontmatter
- Contents
- Figures
- Tables
- Acknowledgments
- A Note on the Cover
- Part I Foundations
- Part II Operationalizing Bayesian Reasoning in Qualitative Research
- Part III Bayesianism in Methodological Perspective
- Part IV Bayesian Implications for Research Design
- 10 Iterative Research
- 11 Test Strength
- 12 Case Selection
- Part V Supplemental Material
- References
- Index
10 - Iterative Research
from Part IV - Bayesian Implications for Research Design
Published online by Cambridge University Press: 28 July 2022
- Frontmatter
- Contents
- Figures
- Tables
- Acknowledgments
- A Note on the Cover
- Part I Foundations
- Part II Operationalizing Bayesian Reasoning in Qualitative Research
- Part III Bayesianism in Methodological Perspective
- Part IV Bayesian Implications for Research Design
- 10 Iterative Research
- 11 Test Strength
- 12 Case Selection
- Part V Supplemental Material
- References
- Index
Summary
This chapter explicates the Bayesian foundations of iterative research, where scholars move back and forth between theory revision, data collection, and data analysis. In this style of research, attention to likelihood ratios guards against common forms of confirmation bias, while Occam factors help to control ad hoc hypothesizing.
Keywords
- Type
- Chapter
- Information
- Social Inquiry and Bayesian InferenceRethinking Qualitative Research, pp. 463 - 506Publisher: Cambridge University PressPrint publication year: 2022