BIBLIO is the largest independent book marketplace in the world, with over 100 million books.

Skip to content

Finding Pathways: Mixed-Method Research for Studying Causal Mechanisms (Strategies for Social Inquiry)

Finding Pathways: Mixed-Method Research for Studying Causal Mechanisms (Strategies for Social Inquiry)

Finding Pathways: Mixed-Method Research for Studying Causal Mechanisms
Stock photo: cover may vary

Finding Pathways: Mixed-Method Research for Studying Causal Mechanisms (Strategies for Social Inquiry) Hardback - 2014

by Weller, Nicholas

Add to wish list
  • Used
  • Good
  • Hardback
Used - Good

Description

hardcover. Good. Access codes and supplements are not guaranteed with used items. May be an ex-library book.
Ask the seller a question Add to wish list
NZ$253.38
Free Delivery within USA
Standard delivery: 7 to 14 days
More delivery options
Dropship order
Ships from Bonita (California, United States)

Details

About Bonita California, United States

Biblio member since 2020

Terms of Sale: 30 day return guarantee, with full refund including original shipping costs for up to 30 days after delivery if an item arrives misdescribed or damaged.

Browse books from Bonita

Reader reviews for Finding Pathways: Mixed-Method Research for Studying Causal Mechanisms (Strategies for Social Inquiry)

From the publisher

Social scientists have identified a need to move beyond the analysis of correlation among variables to the study of causal mechanisms that link them. Nicholas Weller and Jeb Barnes propose that a solution lies in 'pathway analysis', the use of case studies to explore the causal links between related variables. This book focuses on how the small-N component of multi-method research can meaningfully contribute and add value to the study of causal mechanisms. The authors present both an extended rationale for the unique role that case studies can play in causal mechanism research, and a detailed view of the types of knowledge that case studies should try to generate and how to leverage existing large-N data to guide the case selection process. The authors explain how to use their approach both to select cases and to provide context on previously studied cases.
tracking-