Share
Integrated Inferences: Causal Models for Qualitative and Mixed-Method Research (Strategies for Social Inquiry)
Macartan Humphreys (Author)
·
Cambridge University Press,
· Paperback
Integrated Inferences: Causal Models for Qualitative and Mixed-Method Research (Strategies for Social Inquiry) - Macartan Humphreys
Choose the list to add your product or create one New List
✓ Product added successfully to the Wishlist.
Go to My Wishlists
Origin: U.S.A.
(Import costs included in the price)
It will be shipped from our warehouse between
Friday, July 12 and
Friday, July 19.
You will receive it anywhere in United Kingdom between 1 and 3 business days after shipment.
Synopsis "Integrated Inferences: Causal Models for Qualitative and Mixed-Method Research (Strategies for Social Inquiry)"
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.
- 0% (0)
- 0% (0)
- 0% (0)
- 0% (0)
- 0% (0)
All books in our catalog are Original.
The book is written in English.
The binding of this edition is Paperback.
✓ Producto agregado correctamente al carro, Ir a Pagar.