PLS-SEM Validation for Burnout Measures in Latino College Students: A Socially Sustainable Educational Return

Miguel Reyna-Castillo (), Maira Alejandra Pulgarín-Rodríguez (), Arles Humberto Ríos-Serna and Alejandro Santiago ()
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Miguel Reyna-Castillo: Faculty of Architecture, Design and Urbanism, Autonomous University of Tamaulipas, Centro Universitario Tampico-Madero, Tampico 89339, Mexico
Maira Alejandra Pulgarín-Rodríguez: Faculty of Education, Corporación Universitaria Minuto de Dios, Bello 051050, Antioquia, Colombia
Arles Humberto Ríos-Serna: Faculty of Education, Corporación Universitaria Minuto de Dios, Bello 051050, Antioquia, Colombia
Alejandro Santiago: Faculty of Engineering “Arturo Narro Siller”, Autonomous University of Tamaulipas, Centro Universitario Tampico-Madero, Tampico 89339, Mexico

Sustainability, 2022, vol. 14, issue 21, 1-16

Abstract: Health care is an essential factor in the social sustainability of the university; therefore, it is a challenge and a responsibility to monitor a safe return to school that ensures the support of the physical and emotional well-being of students. In this sense, the Maslach Burnout Inventory-Student Survey (MBI-SS) is a validated resource with robust techniques in several regions of the world to diagnose school burnout. However, few efforts appear in the literature to validate it from a predictive approach in the Latin region. This study aims to validate, from a predictive approach, measures of school burnout in Latino university students from Mexico and Colombia. A total of 235 surveys were administered (Mx. n = 127, Co. n = 108), and a Partial Least Squares (PLS) measurement model was validated using the statistical program SmartPLS 3.3.7. As a result, 22 valid items were obtained in four reliable subconstructs: burnout, family cynicism, inefficacy, and somatization. The value of this research is its contribution to filling two gaps related to the MBI-SS scale (1) to contribute to the validation of the MBI-SS in a Latin context and (2) the use of the nonparametric statistical technique PLS focused on prediction.

Keywords: validation of measurement model; PLS-SEM; burnout; university students; Latin America; social sustainability; MBI-SS; EMEDO (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2022
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