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<dc:dc xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:invenio="http://invenio-software.org/elements/1.0" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><dc:identifier>doi:10.1186/1477-7525-11-63</dc:identifier><dc:language>eng</dc:language><dc:creator>Gascón, S.</dc:creator><dc:creator>Leiter, M. P.</dc:creator><dc:creator>Stright, N.</dc:creator><dc:creator>Santed, M. A.</dc:creator><dc:creator>Montero-Marín, J.</dc:creator><dc:creator>Andrés, E.</dc:creator><dc:creator>Asensio-Martínez, A.</dc:creator><dc:creator>García-Campayo, J.</dc:creator><dc:title>A factor confirmation and convergent validity of the " areas of worklife scale" (AWS) to Spanish translation</dc:title><dc:identifier>ART-2013-81760</dc:identifier><dc:description>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 a between .71, and .85). Construct validity was confirmed by a six factor model of the AWS as a good measure of work environments (¿2 (352) = 806.21, p &lt; 0.001; ¿2/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 subdimensions 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.</dc:description><dc:date>2013</dc:date><dc:source>http://zaguan.unizar.es/record/129307</dc:source><dc:doi>10.1186/1477-7525-11-63</dc:doi><dc:identifier>http://zaguan.unizar.es/record/129307</dc:identifier><dc:identifier>oai:zaguan.unizar.es:129307</dc:identifier><dc:identifier.citation>Health and Quality of Life Outcomes 11, 63 (2013), [11 pp.]</dc:identifier.citation><dc:rights>by</dc:rights><dc:rights>https://creativecommons.org/licenses/by/4.0/deed.es</dc:rights><dc:rights>info:eu-repo/semantics/openAccess</dc:rights></dc:dc>

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