Integrated Inferences Causal Models for Qualitative and Mixed-Method Research
Integrated Inferences Causal Models for Qualitative and Mixed-Method Research by Macartan Humphreys, published by Cambridge University Press on November 30, 2023, is a comprehensive exploration of research strategies that blend quantitative and qualitative inference tools. This 300-page book presents a framework for employing causal models and Bayesian updating specifically tailored for qualitative and mixed-methods research, aiming to enhance the integration of information from diverse data sources.
Readers will find a detailed introduction to the fundamental principles of causal inference and Bayesian updating, illustrating how these methodologies can be applied to justify inferences drawn from both within-case evidence and correlational patterns across multiple cases. The book emphasizes the systematic and transparent connections between theory and empirical data, offering insights into how causal models can inform research design. By addressing choices regarding cases, observations, and methods, this work serves as a valuable resource for those engaged in social science research.
Official synopsis Publisher
There is a growing consensus in the social sciences on the virtues of research strategies that combine quantitative with qualitative tools of inference. Integrated Inferences develops a framework for using causal models and Bayesian updating for qualitative and mixed-methods research. By making, updating, and querying causal models, researchers are able to integrate information from different data sources while connecting theory and empirics in a far more systematic and transparent manner than standard qualitative and quantitative approaches allow. This book provides an introduction to fundamental principles of causal inference and Bayesian updating and shows how these tools can be used to implement and justify inferences using within-case (process tracing) evidence, correlational patterns across many cases, or a mix of the two. The authors also demonstrate how causal models can guide research design, informing choices about which cases, observations, and mixes of methods will be most useful for addressing any given question.
FAQ
What is “Integrated Inferences Causal Models for Qualitative and Mixed-Method Research” about?
Who is the author of “Integrated Inferences Causal Models for Qualitative and Mixed-Method Research”?
When was “Integrated Inferences Causal Models for Qualitative and Mixed-Method Research” published?
What is the ISBN for “Integrated Inferences Causal Models for Qualitative and Mixed-Method Research”?
What are the book details (language, pages, edition)?
