Book contents
- Frontmatter
- Contents
- Preface
- Acknowledgments
- 1 Introduction
- Part I Foundations
- Part II Model-Based Causal Inference
- 7 Process Tracing with Causal Models
- 8 Process-Tracing Applications
- 9 Integrated Inferences
- 10 Integrated Inferences Applications
- 11 Mixing Models
- Part III Design Choices
- Part IV Models in Question
- Part V Appendices
- Bibliography
- Index
10 - Integrated Inferences Applications
from Part II - Model-Based Causal Inference
Published online by Cambridge University Press: 13 October 2023
Book contents
- Frontmatter
- Contents
- Preface
- Acknowledgments
- 1 Introduction
- Part I Foundations
- Part II Model-Based Causal Inference
- 7 Process Tracing with Causal Models
- 8 Process-Tracing Applications
- 9 Integrated Inferences
- 10 Integrated Inferences Applications
- 11 Mixing Models
- Part III Design Choices
- Part IV Models in Question
- Part V Appendices
- Bibliography
- Index
Summary
We illustrate Bayesian mixed methods with causal models through a reexamination of the model of inequality and democratization and of institutions and growth introduced in Chapter 8. We show how to use updated population models to draw both population- and case-level inferences, demonstrate situations in which learning is minimal and in which it is more substantial, and illustrate how the probative value of case-level evidence can be empirically established through model updating.
Keywords
- Type
- Chapter
- Information
- Integrated InferencesCausal Models for Qualitative and Mixed-Method Research, pp. 259 - 280Publisher: Cambridge University PressPrint publication year: 2023