Predictors of higher education dropout intention in the post-pandemic era: The mediating role of academic exhaustion

Bárbara Gonzalez, Teresa P Mendes, Ricardo Pinto, Sónia V Correia, Sara Albuquerque and Paula Paulino

PLOS ONE, 2025, vol. 20, issue 7, 1-30

Abstract: Introduction: The phenomenon of dropout in higher education needs the acknowledging of its multi-domain complexity. In the post-pandemic era, exhaustion may be a relevant feature affecting students. This cross-sectional study aimed primarily to test a predictive model of five domains of variables (background, academic, social, psychological, and economic) on dropout intention, in a relation mediated by academic exhaustion. Secondarily, it aimed to assess the structural invariance of this model across working status (working vs. non-working students) and residence status (living away from family’s residence vs. living in family residence). If these groups are differently affected by dropout determinants, specific dropout prevention measures should be implemented. Method: A stratified sample of 1402 Portuguese university students aged between 19 and 45 years (M = 22.87, SD = 3.64), selected through a convenience quota method, was assessed for background, academic, social, psychological, and economic variables using self-report instruments. Structural equation modelling was used. Results: The predictive model explained 51% of the variance in dropout intention. Academic exhaustion was the stronger predictor (β = 0.523, p

Date: 2025
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Persistent link: https://EconPapers.repec.org/RePEc:plo:pone00:0327643

DOI: 10.1371/journal.pone.0327643

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