All Outputs (2)

How the Predictors of Math Achievement Change Over Time: A Longitudinal Machine Learning Approach (2024)
Journal Article
Lavelle-Hill, R., Frenzel, A. C., Goetz, T., Lichtenfeld, S., Marsh, H. W., Pekrun, R., Sakaki, M., Smith, G., & Murayama, K. (2024). How the Predictors of Math Achievement Change Over Time: A Longitudinal Machine Learning Approach. Journal of Educational Psychology, 116(8), 1383–1403. https://doi.org/10.1037/edu0000863

Researchers have focused extensively on understanding the factors influencing students’ academic achievement over time. However, existing longitudinal studies have often examined only a limited number of predictors at one time, leaving gaps in our kn... Read More about How the Predictors of Math Achievement Change Over Time: A Longitudinal Machine Learning Approach.

Detecting iodine deficiency risks from dietary transitions using shopping data (2024)
Journal Article
Mansilla, R., Long, G., Welham, S., Harvey, J., Lukinova, E., Nica-Avram, G., Smith, G., Salt, D., Smith, A., & Goulding, J. (2024). Detecting iodine deficiency risks from dietary transitions using shopping data. Scientific Reports, 14(1), Article 1017. https://doi.org/10.1038/s41598-023-50180-7

Plant-based product replacements are gaining popularity. However, the long-term health implications remain poorly understood, and available methods, though accurate, are expensive and burdensome, impeding the study of sufficiently large cohorts. To i... Read More about Detecting iodine deficiency risks from dietary transitions using shopping data.