Abstract
Qualitative small-N comparisons face the challenge to detect context-bound causality under conditions of limited empirical diversity. Rather than treating context as a causal factor, we test the usefulness of the novel method of comparative multilevel analysis (CMA) to identify and understand the role of context as a contingent necessary condition that enables a causal relationship to unfold. Combining CMA with pairwise comparisons, we assess how organ donation policies in Switzerland and Spain affect relatives’ refusal rates in a small-N setting exhibiting multiple contextual levels. To tackle limited diversity systematically, we suggest to refine the CMA methodology by accounting for several contexts and referring to higher-order constructs. Applying CMA with these refinements, we find voluntary information measures only affect refusal rates in contexts of a credible state explicitly supporting organ donation. The fact that CMA can easily be combined with other analytical and conceptual approaches makes it an effective technique to identify contextual effects in small-N research.
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Notes
French part: 2009, 2008: 4 big and 12 small donor action participant hospitals; 2007: 3/13. German part: 2009: 4 big and 11 small participant hospitals; 2008: 4/15, 2007: 3/16.
Rohlfing (2012) highlights that CMA becomes superfluous when combined with QCA.
References
Blatter, J., & Haverland, M. (2012). Designing case studies: Explanatory approaches in small-N research. Basingstoke: Palgrave Macmillan.
Braun, D., & Gilardi, F. (2006). Taking ‘Galton’s problem’ seriously. Towards a theory of policy diffusion. Journal of Theoretical Politics, 18(3), 298–322.
Byrne, D. (2009). Complex realist and configurational approaches to cases: A radical synthesis. In D. Byrne & C. C. Ragin (Eds.), The SAGE handbook of case-based methods (pp. 101–111). London: Sage.
Cioffi-Revilla, C., & Starr, H. (2003). Opportunity, willingness, and political uncertainty: Theoretical foundations of politics. In G. Goertz & H. Starr (Eds.), Necessary conditions: Theory, methodology and applications (pp. 225–248). New York: Rowman & Littlefield.
Council of Europe. (2011). Newsletter transplant 2011. International figures on donation and transplantation—2010. Retrieved July 20, 2014, from http://www.ont.es/publicaciones/Documents/Newsletter2011.pdf
Denk, T. (2010). Comparative multilevel analysis: Proposal for a methodology. International Journal of Social Research Methodology, 13(1), 29–39.
Denk, T., & Lehtinen, S. (2014). Contextual analyses with QCA-methods. Quality & Quantity, 48(6), 3475–3487.
Engeli, I., & Varone, F. (2011). Governing morality issues through procedural policies. Swiss Political Science Review, 17(3), 239–258.
Falletti, T., & Lynch, J. (2009). Context and causal mechanisms in political analysis. Comparative Political Studies, 42(9), 1143–1166.
Glennan, S. (2010). Mechanisms, causes, and the layered model of the world. Philosophy and Phenomenological Research, 81(2), 362–381.
Goertz, G. (1994). Contexts of international politics. Cambridge: Cambridge University Press.
Goertz, G. (2006). Social science concepts. A user’s guide. Princeton, NJ: Princeton University Press.
Goertz, G., & Starr, H. (2003). Necessary conditions: Theory, methodology, and applications. New York: Rowman & Littlefield.
Howlett, M. (2009). Governance modes, policy regimes and operational plans: A multi-level nested model of policy instrument choice and policy design. Policy Sciences, 42(1), 73–89.
Lascoumes, P., & Le Galès, P. (2007). Introduction: Understanding public policy through its instruments—From the nature of instruments to the sociology of public policy instrumentation. Governance, 20(1), 1–21.
Levi-Faur, D. (2006). A question of size? A heuristics for stepwise comparative research design. In B. Rihoux & H. Grimm (Eds.), Innovative comparative methods for policy analysis (pp. 43–66). New York: Springer.
Manatschal, A., & Thomann, E. (2011). Vergleich des Organspendewesens in der Schweiz und Spanien. Study mandated by the Swiss Federal Office of Public Health. Bern: Institute of Political Science and Büro Vatter AG.
Mill, S. J. (1843). A system of logic. London: Harrison and Co. Printers.
ONT. (2008). Actividád de Donación 2008. Madrid: Organización Nacional de Trasplantes ONT.
ONT. (2009). Programa de garantía de calidad del proceso de donación. Memoria de resultados de la autoevaluación año 2009. Madrid: Organización Nacional de Trasplantes ONT.
Pawson, R. (2002). Evidence-based policy: The promise of realist synthesis. Evaluation, 8(3), 340–358.
Peters, B. G. (1998). Comparative politics, theory and methods. Basingstoke: Palgrave.
Ragin, C. (2000). Fuzzy-set social science. Chicago: University of Chicago Press.
Rohlfing, I. (2012). Analyzing multilevel data with QCA: A straightforward procedure. International Journal of Social Research Methodology, 15(6), 497–506.
Ross, M. C., & Homer, E. (1976). Galton’s problem in cross-national research. World Politics, 29(1), 1–28.
Swisstransplant. (2009). Jahresbericht 2009. Retrieved July 20, 2014, from http://www.swisstransplant.org/l1/organspende-organ-transplantation-zuteilung-koordination-warteliste-statistiken.php
Tarrow, S. (2010). The strategy of paired comparison: Toward a theory of practice. Comparative Political Studies, 43(2), 230–259.
Vedung, E. (1998). Policy instruments: Typologies and theories. In M.-L. Bemelmans-Videc, R. C. Rist, & E. Vedung (Eds.), Carrots, sticks and sermons: Policy instruments and their evaluation (pp. 21–58). New Brunswick: Transaction Publishers.
Voß, J., Smith, A., & Grin, J. (2009). Designing long-term policy: Rethinking transition management. Policy Sciences, 42(4), 275–302.
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Thomann, E., Manatschal, A. Identifying context and cause in small-N settings: a comparative multilevel analysis. Policy Sci 49, 335–348 (2016). https://doi.org/10.1007/s11077-015-9233-x
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DOI: https://doi.org/10.1007/s11077-015-9233-x