Fit Indices And Reliability Measures For The Validation Of An Emotional-Psychological Well-Being Scale In Post–COVID-19 Virtual Educational Platforms
DOI:
https://doi.org/10.64252/tycm4m73Keywords:
Emotional-psychological well-being, university students, fit indices, motivation, virtual platforms, post–COVID-19, satisfaction, scale validation.Abstract
Introduction: In the post–COVID-19 context, where the use of virtual platforms has become permanent, it is essential to implement reliable assessment tools to evaluate their impact on students’ well-being. This study aimed to validate the Emotional-Psychological Well-Being Behaviors Scale in engineering students, to facilitate future interventions in this field.
Methods: A confirmatory factor analysis was conducted using maximum likelihood estimation with robust standard errors (MLM). Model fit was evaluated with standard indices—including the chi-square ratio, CFI, RMSEA, and SRMR—which confirmed the robustness of the proposed model.
Results: Internal consistency, assessed through Cronbach’s alpha and McDonald’s omega, demonstrated high reliability of the instrument.
Discussion: Unlike other studies reporting that 90% of students do not engage with virtual classrooms, our findings highlight the transversal and indispensable role of these platforms. The evaluation of well-being behaviors provides insight into areas for improvement within the system, positioning the instrument as a useful tool for academic management.
Conclusions: The scale proved to be a reliable and valid instrument for assessing well-being in virtual contexts, supporting its practical application in educational institutions to design and implement support programs tailored to the emotional and academic needs of university students.
