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  4. Psychometric analysis of the Escala de Cansancio Emocional in Ecuadorian college students during the COVID-19 outbreak [Análise psicométrica da Escala de Cansancio Emocional em estudantes universitários equatorianos durante o surto de COVID-19] [Análisis psicométrico de la Escala de Cansancio Emocional en estudiantes universitarios ecuatorianos durante el brote de COVID-19]
 
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Psychometric analysis of the Escala de Cansancio Emocional in Ecuadorian college students during the COVID-19 outbreak [Análise psicométrica da Escala de Cansancio Emocional em estudantes universitários equatorianos durante o surto de COVID-19] [Análisis psicométrico de la Escala de Cansancio Emocional en estudiantes universitarios ecuatorianos durante el brote de COVID-19]

Journal
Ciencias Psicologicas
Date Issued
2022
Author(s)
Moreta-Herrera R.
Vaca-Quintana, Diego
Universidad Indoamérica
Quistgaard-Álvarez A.
Merlyn-Sacoto M.-F.
Dominguez-Lara S.
Type
Article
DOI
10.22235/cp.v16i1.2755
URL
https://cris.indoamerica.edu.ec/handle/123456789/8599
Abstract
Academic emotional exhaustion is the first stage of academic burnout syndrome, and it is necessary to evaluate it and intervene early since the consequences are significant for people. The objective of this research is to perform a psychometric analysis of the Emotional Exhaustion Scale (Escala de Cansancio Emocional, ECE) to evaluate its internal structure, measurement invariance, and internal consistency reliability, in a sample of Ecuadorian college students in the context of the COVID-19 pandemic. Four hundred and fifty-three college students from Ecuador participated (76.21 % women) between the ages of 17 and 35 (M = 22.76 years). Results show that the one-dimensional structure has statistical support, is invariant concerning sex, and shows adequate internal consistency reliability. It is concluded that the ECE has adequate psychometric properties that allow its use in Ecuadorian college students. © 2022 Kazan Federal University. All rights reserved.
Subjects
  • Confirmatory factor a...

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