Adaptation to Remote Higher Education Questionnaire: Expansion of psychometric properties

Abstract

Higher Education (QAES-R) and other variables. The study analyzed the relationships between the QAES-R with the reasons for academic dropout and motivation. A total of 319 Brazilian university students participated (Mage = 26.25; SD = 9.5). Statistically significant correlations were identified between the QAES-R and most factors of the other instruments. In the first model tested, the QAES-R factors predicted academic dropout : Social (32%), Academic (24%), Institutional (15%), and Teacher (10%) (χ2/gl = 1.87; RMSEA = .05; CFI = .87; TLI = .87). In the second model, the QAES-R predicted learning goals (45%), performance-avoidance (39%), and performance-approach (30%) (χ2/gl = 1.42; RMSEA = .04; CFI = .90; TLI = .90). These results extend the psychometric properties of the QAES-R to assess the academic adaptation of students during emergency remote teaching.