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Last active August 29, 2015 14:17
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Big Data and Sociolinguistics
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talk_gist.md
  • As datasets grow in size, it's going to become trivial to find "significant" effects (i.e. non-zero).
    • That isn't a problem that can be fixed by just shrinking α down.
  • We need to ask ourselves:
    1. Are the effects we're observing large enough to be interesting?
    2. How big did we expect them to be?
  • To answer (2), we need an articulated theory that can make quantitative predictions.
  • I walk through two examples where I try to predict effect sizes given background theory.
  • link: https://jofrhwld.github.io/papers/plc39_2015/
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