विधियों की तुलना करें
चुनी हुई विधियों की आमने-सामने समीक्षा करें; भिन्नता वाली पंक्तियाँ रेखांकित हैं।
| Counterfactual Analysis× | प्रक्रिया अनुरेखण× | |
|---|---|---|
| क्षेत्र≠ | International Relations | मनोमिति |
| परिवार≠ | Process / pipeline | Latent structure |
| उद्भव वर्ष≠ | 1991 | 2005 |
| प्रवर्तक≠ | James Fearon (methodological treatment); Tetlock & Belkin (framework) | Alexander George, Andrew Bennett |
| प्रकार≠ | Method of causal reasoning via hypothetical alternatives | Qualitative causal inference |
| मौलिक स्रोत≠ | Fearon, J. D. (1991). Counterfactuals and hypothesis testing in political science. World Politics, 43(2), 169–195. DOI ↗ | Bennett, A., & Checkel, J. T. (Eds.). (2015). Process Tracing: From Metaphor to Analytic Tool. Cambridge University Press. DOI ↗ |
| उपनाम≠ | Counterfactual Reasoning in IR, What-If Analysis in International Relations, Counterfactual Thought Experiments, Hypothetical Case Analysis | — |
| संबंधित≠ | 3 | 5 |
| सारांश≠ | Counterfactual analysis evaluates causal claims in international relations by reasoning about what would have happened had some antecedent been different: had the archduke not been assassinated, had the United States not deployed missiles, had a leader chosen otherwise. As Fearon (1991) argues, such counterfactuals play a necessary if often implicit role in testing hypotheses about singular and small-N events, where ordinary statistical comparison is impossible. Done rigorously — with plausible antecedents, sound connecting principles, and attention to confounders — counterfactual analysis disciplines the 'what if' reasoning that pervades historical and conflict explanation. | Process Tracing is a qualitative research method developed by George and Bennett (2005) for studying causal mechanisms and causal chains within individual cases. It involves examining the sequence of events and decision-making processes within a case to infer whether a hypothesized causal mechanism actually operated. Process tracing aims to strengthen causal inference in case studies by looking beyond correlation to understand how causes produce effects. |
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