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ldscherer's profile
Laura Scherer
Laura Scherer
Laura Scherer
@ldscherer

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Laura Scherer

@ldscherer

Improving medicine with behavioral science. Improving behavioral science with open science reform. Assistant prof at U of Colorado Med School

CU Denver
sites.google.com/site/ldscherer…
Joined September 2014

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    1. Laura Scherer‏ @ldscherer Nov 22

      Laura Scherer Retweeted Tal Yarkoni

      Great paper. Worth a read and a bunch of navel-gazing afterward. Tal has tried to explain this to me over the years in ~5 minute increments, so I'm glad he finally wrote it all down. More thoughts below...1/xhttps://twitter.com/talyarkoni/status/1197682895198072835 …

      Laura Scherer added,

      Tal Yarkoni @talyarkoni
      I wrote this paper arguing that the inferential statistics we report in psychology papers are so disconnected from the hypotheses they're meant to test that they may as well be made up. feedback is appreciated. https://psyarxiv.com/jqw35 
      1 reply 10 retweets 36 likes
      Show this thread
    2. Laura Scherer‏ @ldscherer Nov 22

      The issues that Tal raises are why JPSP has historically required a ridiculous # of studies for publications. The point is to show generalizability of a phenomenon across different types of stimuli, manipulations, and populations. However, we are doing it wrong …2/x

      1 reply 1 retweet 8 likes
      Show this thread
    3. Laura Scherer‏ @ldscherer Nov 22

      …and it is wrong in at least 3 ways: 1. assuming that similar-looking effects across very different studies (“conceptual replication”) reflected the same underlying psychological phenomenon (see Tal’s footnote #10) 3/x

      1 reply 0 retweets 9 likes
      Show this thread
    4. Laura Scherer‏ @ldscherer Nov 22

      2. belief that null findings reflect something wrong with the study which serves as justification for reporting bias, and 3. lack of “exact” replication to establish that any given effect is robust for just those constrained stimuli 4/x

      1 reply 0 retweets 9 likes
      Show this thread
      Laura Scherer‏ @ldscherer Nov 22

      Overall, my takeaway from this paper is consistent with what I already have come to believe, which is that it requires 100-1000x more research investment than what we currently do to establish the kinds of generalized conclusions about humanity that we typically claim to make 5/x

      6:16 AM - 22 Nov 2019
      • 7 Retweets
      • 34 Likes
      • Matan Mazor Uku Vainik Gina Grimshaw Anna Khazenzon Gordon Pennycook Siri Leknes David Funder Gerard Saucier Kaitlyn Werner
      2 replies 7 retweets 34 likes
        1. New conversation
        2. Laura Scherer‏ @ldscherer Nov 22

          Furthermore, the chance that any of us will discover a psychological phenomenon that is highly generalizable in this way is very low. I think we need to let go of this as an expectation for scientific contribution in the social sciences 6/x

          1 reply 1 retweet 16 likes
          Show this thread
        3. Laura Scherer‏ @ldscherer Nov 22

          If we were completely honest about the limitations of generalizability of our studies, it would quickly become apparent that we are all “applied” researchers in the sense of providing very constrained answers to very constrained questions. 7/x

          1 reply 5 retweets 43 likes
          Show this thread
        4. End of conversation
        1. New conversation
        2. Charles Driver‏ @CharlesDriverAU Nov 22
          Replying to @ldscherer

          I would kind of hope that data / info aggregation, and taking variance seriously (ie modelling), could make it within reasonable reach. But I may live in a statistical bubble...

          1 reply 0 retweets 0 likes
        3. Charles Driver‏ @CharlesDriverAU Nov 22
          Replying to @CharlesDriverAU @ldscherer

          Modelling *and* induced variation, I meant to say...

          0 replies 0 retweets 0 likes
        4. End of conversation

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