RETRODUCITIVE RESEARCH STRATEGY AND COMPLEXITY OF MECHANISMS IN SOCIAL SCIENCE
DOI:
https://doi.org/10.55197/qjssh.v6i1.591Keywords:
retroductive strategy, historical sociology, mechanisms, spiral movement, social dynamicAbstract
This paper delves into the retroductive research strategy, a methodological approach rooted in critical realism, emphasizing its significance in understanding and explaining complex social phenomena. The retroductive strategy effectively integrates theoretical and empirical analyses to uncover the underlying internal and external mechanisms that shape observed events and structures. By employing a layered ontology that spans the empirical, actual, and real domains, the study illustrates how these mechanisms interact to produce social phenomena. Furthermore, the incorporation of historical sociology contextualizes these mechanisms within temporal and cultural frameworks, revealing the dynamic and cyclical process of transforming empirical observations into enduring causal structures. This spiral-like movement enriches our understanding of societal change and continuity, highlighting the intricate interplay of internal and external factors that influence social dynamics. By merging retroductive reasoning with historical analysis, the study offers a robust framework for examining the emergence, evolution, and implications of social mechanisms. Ultimately, this research contributes to a deeper understanding of the generative mechanisms that underpin social phenomena, providing valuable insights for scholars and practitioners in the social sciences. The findings underscore the importance of a comprehensive approach to studying social structures, encouraging further exploration of the complexities inherent in social research methodologies.
References
Baker, J.M. (2001): Selecting a research methodology. – The Marketing Review 24p.
Bhambra, G.K. (2011): Historical sociology, modernity, and postcolonial critique. – The American Historical Review 116(3): 653-662.
Bhaskar, R. (2013): A realist theory of science. – Routledge 304p.
Blaikie, N. (2000): Designing social research: The logic of anticipation Polity Press. – Cambridge, UK 298p.
Bygstad, B., Munkvold, B.E. (2011a): Exploring the role of informants in interpretive case study research in IS. – Journal of Information Technology 26(1): 32-45.
Bygstad, B., Munkvold, B.E. (2011b): In search of mechanisms: Conducting a critical realist data analysis. – Thirty Second International Conference on Information System 15p.
Creswell, J.W., Creswell, J.D. (2017): Research design: Qualitative, quantitative, and mixed methods approaches. – Sage Publications 270p.
Danermark, B., Ekström, M., Karlsson, J.C. (2019): Explaining society: Critical realism in the social sciences. – Routledge 242p.
Hedström, P., Bearman, P. (Eds.) (2009): The Oxford handbook of analytical sociology. – Oxford University Press 796p.
Hernawan, W. (2017): Ibn Khaldun thought: A review of al-Muqaddimah book. – Jurnal Ushuluddin 23(2): 173-184.
Khan, S.N. (2014): Qualitative research method: Grounded theory. – International Journal of Business and Management 9(11): 224-233.
Mudzakkir, M. (2022): The Transformation Of Private Higher Education Institution In Post-Reformation Indonesia 1998-2018: Case Studies Of Universitas Muhammadiyah Yogyakarta And Universitas Muhammadiyah Surakarta. – Universiti Sains Malaysia 408p.
Mukumbang, F.C. (2023): Retroductive theorizing: a contribution of critical realism to mixed methods research. – Journal of Mixed Methods Research 17(1): 93-114.
Mukumbang, F.C., Kabongo, E.M., Eastwood, J.G. (2021): Examining the application of retroductive theorizing in realist-informed studies. – International Journal of Qualitative Methods 20(1): 14p.
Sayer, A. (1999): Realism and social science. – Sage Publications 224p.
Sayer, R.A. (1992): Method in social science: A realist approach. – Psychology Press 313p.
Wilson, N.H., Adams, J. (2015): Historical sociology. – International Encyclopedia of the Social & Behavioral Sciences 4p.
