Difference between revisions of "Military-Connected Status"

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Baker et al. (2020) [[https://www.upenn.edu/learninganalytics/ryanbaker/BakerBerningGowda.pdf pdf]]
Baker et al. (2020) [https://www.upenn.edu/learninganalytics/ryanbaker/BakerBerningGowda.pdf pdf]


* Model predicting student graduation and SAT scores for military-connected students
* Model predicting student graduation and SAT scores for military-connected students and non-military-connected students
* For prediction of graduation, algorithms applying across population resulted an AUC of 0.60, degrading from their original performance of 70% or 71% to chance.
* For prediction of graduation, applying algorithms across population resulted an poorer AUC ROC
* For prediction of SAT scores, algorithms applying across population resulted in a Spearman's ρ of 0.42 and 0.44, degrading a third from their original performance  to chance.
* For prediction of SAT scores, applying algorithms across population resulted in a poorer Spearman's ρ.

Latest revision as of 07:24, 18 May 2022

Baker et al. (2020) pdf

  • Model predicting student graduation and SAT scores for military-connected students and non-military-connected students
  • For prediction of graduation, applying algorithms across population resulted an poorer AUC ROC
  • For prediction of SAT scores, applying algorithms across population resulted in a poorer Spearman's ρ.