Version 2 2024-06-13, 10:14Version 2 2024-06-13, 10:14
Version 1 2016-11-30, 15:24Version 1 2016-11-30, 15:24
journal contribution
posted on 2013-04-18, 00:00authored byS Gascón, Michael Leiter, N Stright, M A Santed, J Montero-Marín, E Andrés, A Asensio-Martínez, J García-Campayo
BACKGROUND: Perceived incongruity between the individual and the job on work-life areas such as workload, control, reward, fairness, community and values have implications for the dimensions of burnout syndrome. The "Areas of Work-life Scale" (AWS) is a practical instrument to measure employees´ perceptions of their work environments.
AIMS: Validate a Spanish translation of the AWS, and it relationship with Masclach Burnout Inventory dimensions.
METHODS: The study was conducted in three medium-sized hospitals and seven rural and urban Primary Care centres (N = 871) in Spain. The "Maslach Burnout Inventory General Survey" (MBI-GS) and AWS were applied. We developed a complete psychometric analysis of its reliability, and validity.
RESULTS: Data on the reliability supported a good internal consistency (Cronbach α between .71, and .85). Construct validity was confirmed by a six factor model of the AWS as a good measure of work environments (χ²(₃₅₂) = 806.21, p < 0.001; χ²/df = 2.29; CFI = 0.935, RMSEA = 0.039); concurrent validity was analysed for its relationship with other measures (opposing dimensions to burnout, and MBI), and each correlation between dimensions and sub-dimensions were statistically significant; as well, predictive validity, by a series of Multiple Regression Analysis examined the resulting patterns of the Confirmatory Factor Analysis (CFA) confirms the relationship between the work-life areas and burnout dimensions.
CONCLUSIONS: Leiter and Maslach's AWS has been an important instrument in exploring several work-life factors that contribute to burnout. This scale can now be used to assess the quality of work-life in order to design and assess the need for intervention programs in Spanish-speaking countries.