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From description to generalization, or there and back again.

Kelsey L WestKasey C SoskaWhitney G ColeDanyang HanJustine E HochChristina M HospodarBrianna E Kaplan
Published in: The Behavioral and brain sciences (2022)
In his target article, Yarkoni prescribes descriptive research as a potential antidote for the generalizability crisis. In our commentary, we offer four guiding principles for conducting descriptive research that is generalizable and enduring: (1) prioritize context over control; (2) let naturalistic observations contextualize structured tasks; (3) operationalize the target phenomena rigorously and transparently; and (4) attend to individual data.
Keyphrases
  • cross sectional
  • public health
  • working memory
  • electronic health record
  • machine learning
  • risk assessment
  • deep learning