Les déterminants de la résilience et de la réussite scolaire : une approche bayésienne

Abstract

With a sample of 22,113 students from the 7th to the 12th grade in New Brunswick, the determinants of resilience and academic achievement were identified at the provincial level and for each of the province’s seven health zones. To do so, this study used a three-step methodology. The first was two frequentist logistic regressions to do a preliminary sorting of the determinants. The second was a series of Bayesian logistic regressions with 20,000 MCMC simulations to narrow the estimations, and finally, probability calculations were run with fictitious student profiles.