Enhancing Resilience: Analyzing Its Impact with a Second-Order Structural Equation Model on Burnout Among Mexican University Students During COVID-19

Blanca Rosa Garcia-Rivera, Ignacio Alejandro Mendoza-Martinez, Jorge Luis García-Alcaráz
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Abstract

This study employs a second-order structural equation model to assess the statistical impact of resilience on burnout subscales among undergraduate students from Mexican faculties during the COVID-19 pandemic. An online questionnaire was administered to a nationwide sample of 5557 students enrolled in a higher education institution. The questionnaire demonstrated high reliability, with alpha coefficients exceeding 0.70 for all subscales, and demonstrated construct validity with average variance extracted (AVE) coefficients surpassing 0.50, alongside discriminant validity values exceeding 0.70. Utilizing structural equation models with second-order latent variables through the maximum likelihood method, our study sought to test the research hypothesis. The results indicated that resilience exerted a significant and direct influence on the illusion to study (0.74), explaining approximately 55% of its variance. Additionally, psychological exhaustion (−0.36), indolence (−0.35), and guilt (−0.27) were significantly inversely related, elucidating around 13%, 12%, and 1% of their respective variances. The findings underline the significance of resilience as a pertinent psychosocial factor empowering students to confront the challenges posed by the COVID-19 pandemic. Resilience enhances students’ enthusiasm to study while simultaneously mitigating psychological exhaustion, indolence, and guilt. As defined by the World Health Organization (WHO), burnout emerges as a syndrome resulting from inadequately managed chronic stress. Previous research has demonstrated that depression, psychosomatic disorders, alcohol and tobacco consumption, and obesity stem from the profound feelings of guilt linked to burnout, as outlined in Gil-Monte’s burnout model. Significantly, students in academic contexts often perceive their burnout experiences as indicative of personal inadequacies, leading them to internalize guilt for their perceived underperformance. This self-criticism contributes to a pervasive sense of failure and a marked decline in self-esteem. Moreover, employing Student’s t-tests, this study reveals noteworthy gender-based disparities across all subscales, with the exception of persistence, tenacity, and self-efficacy.

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增强复原力:利用二阶结构方程模型分析其对 COVID-19 期间墨西哥大学生职业倦怠的影响
本研究采用二阶结构方程模型来评估在 COVID-19 大流行期间,复原力对墨西哥各院系本科生倦怠分量表的统计影响。我们在全国范围内对一所高等教育机构的 5557 名学生进行了在线问卷调查。该问卷具有很高的可靠性,所有分量表的α系数都超过了 0.70,并且具有建构效度,平均方差提取系数(AVE)超过了 0.50,判别效度值也超过了 0.70。我们的研究通过最大似然法,利用具有二阶潜变量的结构方程模型,试图检验研究假设。结果表明,抗挫折能力对学习幻觉(0.74)有显著的直接影响,解释了约 55% 的方差。此外,心理疲惫(-0.36)、懒散(-0.35)和内疚(-0.27)呈显著反向关系,分别解释了约 13%、12% 和 1%的方差。研究结果强调了抗逆力作为一个相关社会心理因素的重要性,它能增强学生应对 COVID-19 大流行所带来挑战的能力。抗逆力可以提高学生的学习热情,同时减轻心理疲惫、懒惰和内疚感。根据世界卫生组织(WHO)的定义,职业倦怠是一种因长期压力管理不当而产生的综合症。以往的研究表明,抑郁症、心身疾病、烟酒消费和肥胖症都源于吉尔-蒙特(Gil-Monte)的职业倦怠模型中所概述的与职业倦怠相关的强烈负罪感。值得注意的是,在学术环境中,学生往往认为他们的职业倦怠经历表明了个人的不足,从而导致他们为自己认为的表现不佳而内疚。这种自我批评导致了普遍的失败感和明显的自尊下降。此外,通过学生 t 检验,本研究还揭示了除坚持性、坚韧性和自我效能感之外,所有分量表中值得注意的性别差异。
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