I quite enjoyed Robert Yin’s article
on case studies. I found his analogy of the detective to be very instructive. This
fits very nicely with my recurring theme of the obsession with making social science
research appear “sciencey”. I very much appreciated his point about the
importance of the investigator’s intuition, though I can see the sciencey
people getting up in arms about that. However, I would like to extend the
analogy even further. Within law there are two types of “truth”. In criminal
court the standard of proof (truth) is “beyond a reasonable doubt”. This, if
you will, is analogous to the hard sciences standard. Many in the social
sciences seem to expect this level proof from their class of research. I would
rather see the civil standard of “on a balance of probabilities” applied as the
expected standard. The fact that it demands a “lower” level of certainty does
not make this necessarily less useful at getting at the truth (See OJ Simpson).
Given the complexity of many social science subjects, the need for intuitive input
from the investigator, I think a balance of probabilities is the appropriate
standard by which to judge most social science research.
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