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Download fileA factor confirmation and convergent validity of the "areas of worklife scale" (AWS) to Spanish translation
journal contribution
posted on 2013-04-18, 00:00 authored by S Gascón, Michael LeiterMichael Leiter, N Stright, M A Santed, J Montero-Marín, E Andrés, A Asensio-Martínez, J García-CampayoBACKGROUND: 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.
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.
History
Journal
Health and quality of life outcomesVolume
11Article number
63Pagination
1 - 11Publisher
BioMed CentralLocation
London, Eng.Publisher DOI
eISSN
1477-7525Language
engPublication classification
C Journal article; C1.1 Refereed article in a scholarly journalCopyright notice
2013, Gascón et al.Usage metrics
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Categories
Keywords
Burnout, ProfessionalFeasibility StudiesFemaleHospitals, RuralHospitals, UrbanHumansMalePsychometricsQuality of LifeReproducibility of ResultsSpainTranslatingWorkScience & TechnologyLife Sciences & BiomedicineHealth Care Sciences & ServicesHealth Policy & ServicesStressBurnout measureAreas of worklifeJOB BURNOUTVALIDATIONMODELLIFE