- In our 🚨 NEW PAPER 🚨 "Beyond the income-achievement gap: The role of individual, family, and environmental factors in cognitive resilience among low-income youth", we used machine learning to characterise predictors of cognitive resilience. acamh.onlinelibrary.wiley.com/doi/full/10....
- Our models were reliably able to predict resilience but were substantially more accurate for crystallized cognition than for fluid cognition.Jan 24, 2025 15:46
- Key predictors included developmental factors such as birthweight and duration of breastfeeding, neighborhood-level factors (e.g., enrollment in advanced placement courses), children's temperament and mental health, physical activity and involvement in extracurricular activities.
