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The Kārya-Kāraṇa Siddhānta, the principle of cause and effect forms the cornerstone of Ayurvedic philosophy, explaining that every effect (kārya) arises from a specific cause (kāraṇa). This conceptual and analytical study explores the correlation between this classical doctrine and the modern scientific approach to causality in research methodology. Data were compiled through an extensive review of Ayurvedic scriptures such as Caraka Saṃhitā, Suśruta Saṃhitā, and Aṣṭāṅga Hṛdaya, alongside contemporary research literature. The study identifies that Satkāryavāda, Pariṇāmavāda, and Svabhāvoparamavāda form the theoretical basis for understanding transformation and manifestation, paralleling the hypothesis-testing and cause-and-effect validation processes in modern science. The review also reveals that the Ayurvedic classifications of causation—samavāyī, asamavāyī, and nimitta kāraṇa align with modern distinctions between inherent, associative, and external causal factors. In research methodology, establishing causality through hypothesis formulation, experimentation, and controlled trials reflects the logical principles of the Kārya-Kāraṇa Siddhānta. The findings highlight a philosophical and methodological convergence between Ayurveda and modern research, positioning this Siddhānta as a universal framework for understanding causation across disciplines.
Keywords:
Kārya-Kāraṇa Siddhānta, causality, research methodology, Satkāryavāda, Ayurvedic philosophy
Cite Article:
"A Conceptual and Analytical Study on Kārya-Kāraṇa Siddhānta with Reference to Cause-Effect Relationship in Research Methodology”", International Journal for Research Trends and Innovation (www.ijrti.org), ISSN:2455-2631, Vol.11, Issue 1, page no.a583-a586, January-2026, Available :http://www.ijrti.org/papers/IJRTI2601084.pdf
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ISSN:
2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator