Psychometric Properties and Measurement Invariance of the Maslach Burnout Inventory–General Survey in Colombia
Bibliographic Data
| ID | 15465006 |
|---|---|
| Authors | Diana M Bravo (Fundación Universitaria Konrad Lorenz), Juan C Suárez‐Falcón (0000-0001-5230-9868, Universidad Nacional de Educación a Distancia), Javier M Bianchi (0000-0001-9803-6316, Fundación Universitaria Konrad Lorenz), Diana Obando (0000-0002-2352-4101, Fundación Universitaria Konrad Lorenz), Miguel A Segura‐Vargas (0000-0001-5718-5251, Fundación Universitaria Konrad Lorenz), Francisco J Ruiz (0000-0001-8863-1111, Fundación Universitaria Konrad Lorenz, corresponding author) |
| Year | 2021 |
| Volume | 18 |
| Issue | 10 |
| Pages | 5118-5118 |
| Publication date | 2021-05-12 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | International Journal of Environmental Research and Public Health (JOURNAL) |
| Journal identifiers | ISSN: 1661-7827 • E-ISSN: 1660-4601 |
| Publisher | Multidisciplinary Digital Publishing Institute (PUBLISHER • CH) |
| DOI | 10.3390/ijerph18105118 |
| PMID | 34065970 |
| OpenAlex | W3160916289 |
| Language | EN |
| Citations received | 11 |
| References cited | 30 |
The Maslach Burnout Inventory-General Survey (MBI-GS) is a widely used scale that measures burnout in the general professions. Debate persists regarding the factor structure of the MBI-GS, and there is scarce empirical evidence about the reliability, validity, and measurement invariance of the MBI-GS in Spanish-speaking samples. Moreover, the psychometric properties of the MBI-GS have not been analyzed in Colombia. This study aimed to analyze the internal consistency, factor structure, measurement invariance, and convergent validity of the MBI-GS in a large sample of Colombian workers. The MBI-GS was administered to a total sample of 978 workers from three private companies in Bogotá (66.9% males, 32.7% females, 0.4% other). All subscales showed adequate internal consistency (alphas ranging from 0.72 to 0.86). The three-factor model demonstrated a very good fit to the data (root mean square error of approximation - RMSEA = 0.05, comparative fit index - CFI = 0.99, non-normed fit index - NNFI = 0.98, and standardized root mean square residual - SRMR = 0.06). The measurement invariance both at a metric and scalar level was supported across gender, age group, and socioeconomic status. The MBI-GS subscales showed the expected correlations with job satisfaction, work engagement, psychological distress, and psychological inflexibility. In conclusion, the Spanish version of the MBI-GS demonstrated good psychometric properties in a Colombian sample
Burnout · Confirmatory factor analysis · Environmental health · Measurement invariance · Statistics · Structural equation modeling · Clinical Psychology · Healthcare professionals’ stress and burnout · Mathematics · Medicine · Occupational Health and Burnout · Psychology · Stress and Burnout Research
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| Unique citing works | 11 |
|---|---|
| Citations per year | 2,2 |
| Citation span | 2021 - 2026 (6) |
| Citation velocity | current |
| Highly cited | No |
| Citation types | Neutral: 11 |