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
- 8 Contrasting Logical Bayesianism and Frequentism
- 9 A Unified Framework for Inference
- Part IV Bayesian Implications for Research Design
- Part V Supplemental Material
- References
- Index
9 - A Unified Framework for Inference
from Part III - Bayesianism in Methodological Perspective
Published online by Cambridge University Press: 28 July 2022
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
- 8 Contrasting Logical Bayesianism and Frequentism
- 9 A Unified Framework for Inference
- Part IV Bayesian Implications for Research Design
- Part V Supplemental Material
- References
- Index
Summary
This chapter presents the case for employing Bayesianism as a universal, unified framework for inference that narrows the divide between qualitative versus quantitative data, within-case versus cross-case analysis, and observational versus experimental research. It offers a Bayesian critique of various other approaches to qualitative methods and multi-method research.
Keywords
- Type
- Chapter
- Information
- Social Inquiry and Bayesian InferenceRethinking Qualitative Research, pp. 382 - 460Publisher: Cambridge University PressPrint publication year: 2022