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  <title>Case Study:</title>
  <subTitle>Research Design and Methods</subTitle>
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  <namePart>Robert K. Yin</namePart>
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   <placeTerm type="text">California</placeTerm>
   <publisher>SAGE Publications Ltd.</publisher>
   <dateIssued>2014</dateIssued>
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 <note>The case study approach as presented here, and quasi-experimentation more generally, is more similar to the experimental isolation paradigm than to the randomized-assignment-to-treatments model in that each rival hypothesis must be specified and specifically controlled for. The degree of certainty or consensus that the scientific community is able to achieve will usually be less in out-of-doors social science, due to the lesser degree of plausibility-reduction of rival hypotheses that is likely to be achieved. The inability to replicate at will (and with variations designed to rule out specific rivals) is part of the problem. We should use those singular-event case studies (which can never be replicated) to their fullest, but we should also be alert for opportunities to do intentionally replicated case studies.</note>
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