Book contents
- Frontmatter
- Contents
- Preface
- Acknowledgments
- 1 Introduction
- Part I Foundations
- 2 Causal Models
- 3 Illustrating Causal Models
- 4 Causal Queries
- 5 Bayesian Answers
- 6 Theories as Causal Models
- Part II Model-Based Causal Inference
- Part III Design Choices
- Part IV Models in Question
- Part V Appendices
- Bibliography
- Index
6 - Theories as Causal Models
from Part I - Foundations
Published online by Cambridge University Press: 13 October 2023
Book contents
- Frontmatter
- Contents
- Preface
- Acknowledgments
- 1 Introduction
- Part I Foundations
- 2 Causal Models
- 3 Illustrating Causal Models
- 4 Causal Queries
- 5 Bayesian Answers
- 6 Theories as Causal Models
- Part II Model-Based Causal Inference
- Part III Design Choices
- Part IV Models in Question
- Part V Appendices
- Bibliography
- Index
Summary
This chapter integrates the notion of “theory” into the causal-model framework that we use in the book. We describe an approach in which theoretical claims are thought of as model justifications within a hierarchy of causal models. The approach has implications for the consistency of inferences across models and for assessing when and how theory is useful for strengthening causal claims.
- Type
- Chapter
- Information
- Integrated InferencesCausal Models for Qualitative and Mixed-Method Research, pp. 131 - 152Publisher: Cambridge University PressPrint publication year: 2023