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Concerning case range, Gary King, Robert Keohane, and Sidney Verba alert from "deciding upon around the dependent variable". They argue by way of example that researchers cannot make valid causal inferences about war outbreaks by only looking at occasions where war did occur (the researcher should also have a look at cases in which war did not happen).[22] Scholars of qualitative solutions have disputed this declare, nevertheless.

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A company case study ought to start with a clear aim and background info. Recognize the situation, clarify the solutions executed, and conclude with the effects reached. Use true data and prices from stakeholders to enhance credibility.

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[22] KKV read this article sees process-tracing and qualitative exploration as being "unable to yield strong causal inference" resulting from The reality that qualitative Students would battle with identifying which of numerous intervening variables truly one-way links the independent variable with a dependent variable. The key dilemma is always that qualitative investigation lacks a sufficient range of observations to appropriately estimate the effects of the independent variable. They write that the number of observations may very well be increased via a variety of suggests, but that may concurrently direct to another trouble: that the number of variables would improve and therefore lessen degrees of freedom.[37] Christopher H. Achen and Duncan Snidal equally argue that case experiments are not useful for principle development and concept testing.[forty web nine]