Author:
Damonte Alessia,Negri Fedra
Abstract
AbstractThe previous chapters convey the image of causal analysis in public policy and beyond as a fragmented field where research communities seldom learn from each other’s findings. This chapter resumes the ontological, epistemological, and methodological evidence that causal analysis is characterized by a plurality of objects and “incommensurable” interpretations. It also argues that the same evidence pinpoints how this plurality is complementary at every level, and causal structures raise as the elements that link ontology and methodology and can organize heterogeneous findings to improve learning across accounts.
Publisher
Springer International Publishing
Reference81 articles.
1. Bevir, Mark and Asaf Kedar. (2008). “Concept Formation in Political Science: An Anti-Naturalist Critique of Qualitative Methodology.” Perspectives on Politics 6(3), 503–17. https://doi.org/10.1017/S1537592708081255
2. Brady, H. E. (2008). Causation and explanation in social science. In J. M. Box-Steffensmeier, H. E. Brady, & D. Collier (Eds.), The Oxford handbook of political methodology (pp. 217–270). Oxford University Press.
3. Busetti, S., & Dente, B. (2018). Designing multi-actor implementation: A mechanism-based approach. Public Policy and Administration, 33(1), 46–65.
4. Campbell, D., & Stanley, J. (1963). Experimental and quasi-experimental designs for research on teaching. In N. L. Gage (Ed.), Handbook of research on teaching (pp. 171–246). Rand McNally.
5. Carnap, R. (1952). The continuum of inductive methods. University of Chicago Press.