Academia.eduAcademia.edu

Case studies and their rationale

soc.kuleuven.be

AI-generated Abstract

Case studies are pivotal in understanding and exploring causal mechanisms within various contexts, particularly when quantitative data is limited. The paper delineates the design phase of conducting case studies by illustrating how to choose specific cases such as deviant or typical ones to drive hypothesis generation and theory testing. It emphasizes the importance of case studies in evaluating agency performance and control mechanisms, addressing how theoretical frameworks can guide empirical research while outlining practical options for researchers.