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The article examines the problem of studying the causes of the onset of the armed rebellion in Eastern Ukraine in 2014. The author critically examines a published scientific paper, in which, based on extensive statistical data on violence and economic activity, several hypotheses are checked regarding the causes of the uprising in Eastern Ukraine. The author points out that the research design of the published paper relies on a statistical view of causality and shows a statistical correlation between the variables. However, this paper does not explain why the analyzed data demonstrate statistical correlation, i.e. why some or other factors lead to a rebellion. Using the possibilities of a multimethod research design, the author demonstrates how, based on a cross-case statistical research, it is possible to investigate casual mechanisms via process tracing and counterfactual analysis, i.e. via case studies for establishing within-case inference.
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