Case scientific tests of cases that defy existing theoretical expectations might contribute understanding by delineating why the cases violate theoretical predictions and specifying the scope circumstances of the theory.[21] Case scientific studies are valuable in cases of causal complexity where by there might be equifinality, complex interaction consequences and path dependency.[24][45] They can also be a lot more appropriate for empirical verifications of strategic interactions in rationalist scholarship than quantitative methods.

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In clarifying traces of background and causation it is more useful to pick out topics that provide an interesting, unconventional, or significantly revealing list of instances. A case choice that relies on representativeness will rarely be capable to deliver these kinds of insights.

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