RETRODUCITIVE RESEARCH STRATEGY AND COMPLEXITY OF MECHANISMS IN SOCIAL SCIENCE

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.

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Publication Details

Journal
Quantum Journal of Social Sciences and Humanities
Published
2025-02-28
DOI
https://doi.org/10.55197/qjssh.v6i1.591
Primary Topic
Big Data and Business Intelligence
Type
article
Field-Weighted Citation Impact
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article

RETRODUCITIVE RESEARCH STRATEGY AND COMPLEXITY OF MECHANISMS IN SOCIAL SCIENCE

Mohammad Reevany Bustami, Muhtadi Al-Abyadh
Quantum Journal of Social Sciences and Humanities
Big Data and Business Intelligence
article

RETRODUCITIVE RESEARCH STRATEGY AND COMPLEXITY OF MECHANISMS IN SOCIAL SCIENCE

Mohammad Reevany Bustami, Muhtadi Al-Abyadh
article en

Abstract

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.

Quantum Journal of Social Sciences and HumanitiesVol. 6(1)
Universiti Sains Malaysia (MY)
Openalex Percentile: Top 95%
Big Data and Business Intelligence
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