Psychometric qualities of the Argentine version of the Dutch Work Addiction Scale (DUWAS)
- Autores
- Omar, Alicia Graciela; Salessi, Solana Magalí; Vaamonde, Juan Diego; Urteaga Omar, Alicia Florencia
- Año de publicación
- 2018
- Idioma
- inglés
- Tipo de recurso
- artículo
- Estado
- versión publicada
- Descripción
- The objective of this study was to validate the 10-item Dutch Work Addiction Scale (DUWAS) for use with Argentine workers. This measure comprises a total of 10 items equally distributed in two dimensions: working excessively and working compulsively. Data were obtained from 459 employees of public and private organizations (52.3% men; Mtenure = 6.5 years). Participants completed the adapted version of the DUWAS together with measures of work passion, job satisfaction, and work-family enrichment. In line with the original validation, exploratory factor analysis revealed a two-factor structure, namely working excessively and working compulsively. Confirmatory factory analysis showed satisfactory standardized loadings and good model fit indices for the two-factor model (SBχ2 = 2.35; GFI = .90; CFI = .96; RMSEA = .03; 95% CI [.04; .05]; AIC = 150.31). Both factors showed good internal consistency and composite reliability, and presented expected correlations with the other study variables. These findings support the use of the DUWAS to identify, prevent, and reduce the harmful consequences of work addiction within Argentine organizations.
Fil: Omar, Alicia Graciela. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Rosario; Argentina. Universidad Nacional de Rosario. Facultad de Humanidades y Artes. Instituto de Investigaciones; Argentina
Fil: Salessi, Solana Magalí. Universidad Nacional de Rosario. Facultad de Humanidades y Artes; Argentina. Universidad Nacional de Rafaela.; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Rosario; Argentina
Fil: Vaamonde, Juan Diego. Universidad Nacional de Rosario. Facultad de Psicología; Argentina. Universidad Nacional de Rafaela.; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Rosario; Argentina
Fil: Urteaga Omar, Alicia Florencia. Universidad Autónoma de Entre Ríos; Argentina - Materia
-
WORK ADICTION
DUWAS
FACTORIAL ANALYSIS
VALIDITY
WORKAHOLISM
SCALE VALIDATION - Nivel de accesibilidad
- acceso abierto
- Condiciones de uso
- https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
- Repositorio
.jpg)
- Institución
- Consejo Nacional de Investigaciones Científicas y Técnicas
- OAI Identificador
- oai:ri.conicet.gov.ar:11336/104413
Ver los metadatos del registro completo
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Psychometric qualities of the Argentine version of the Dutch Work Addiction Scale (DUWAS)Omar, Alicia GracielaSalessi, Solana MagalíVaamonde, Juan DiegoUrteaga Omar, Alicia FlorenciaWORK ADICTIONDUWASFACTORIAL ANALYSISVALIDITYWORKAHOLISMSCALE VALIDATIONhttps://purl.org/becyt/ford/5.1https://purl.org/becyt/ford/5The objective of this study was to validate the 10-item Dutch Work Addiction Scale (DUWAS) for use with Argentine workers. This measure comprises a total of 10 items equally distributed in two dimensions: working excessively and working compulsively. Data were obtained from 459 employees of public and private organizations (52.3% men; Mtenure = 6.5 years). Participants completed the adapted version of the DUWAS together with measures of work passion, job satisfaction, and work-family enrichment. In line with the original validation, exploratory factor analysis revealed a two-factor structure, namely working excessively and working compulsively. Confirmatory factory analysis showed satisfactory standardized loadings and good model fit indices for the two-factor model (SBχ2 = 2.35; GFI = .90; CFI = .96; RMSEA = .03; 95% CI [.04; .05]; AIC = 150.31). Both factors showed good internal consistency and composite reliability, and presented expected correlations with the other study variables. These findings support the use of the DUWAS to identify, prevent, and reduce the harmful consequences of work addiction within Argentine organizations.Fil: Omar, Alicia Graciela. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Rosario; Argentina. Universidad Nacional de Rosario. Facultad de Humanidades y Artes. Instituto de Investigaciones; ArgentinaFil: Salessi, Solana Magalí. Universidad Nacional de Rosario. Facultad de Humanidades y Artes; Argentina. Universidad Nacional de Rafaela.; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Rosario; ArgentinaFil: Vaamonde, Juan Diego. Universidad Nacional de Rosario. Facultad de Psicología; Argentina. Universidad Nacional de Rafaela.; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Rosario; ArgentinaFil: Urteaga Omar, Alicia Florencia. Universidad Autónoma de Entre Ríos; ArgentinaSpringer2018-09info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/104413Omar, Alicia Graciela; Salessi, Solana Magalí; Vaamonde, Juan Diego; Urteaga Omar, Alicia Florencia; Psychometric qualities of the Argentine version of the Dutch Work Addiction Scale (DUWAS); Springer; Current Psychology; 2018; 9-2018; 1-111046-13101936-4733CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/url/https://link.springer.com/article/10.1007/s12144-018-9999-zinfo:eu-repo/semantics/altIdentifier/doi/10.1007/s12144-018-9999-zinfo:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-10-22T11:06:37Zoai:ri.conicet.gov.ar:11336/104413instacron:CONICETInstitucionalhttp://ri.conicet.gov.ar/Organismo científico-tecnológicoNo correspondehttp://ri.conicet.gov.ar/oai/requestdasensio@conicet.gov.ar; lcarlino@conicet.gov.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:34982025-10-22 11:06:37.361CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse |
| dc.title.none.fl_str_mv |
Psychometric qualities of the Argentine version of the Dutch Work Addiction Scale (DUWAS) |
| title |
Psychometric qualities of the Argentine version of the Dutch Work Addiction Scale (DUWAS) |
| spellingShingle |
Psychometric qualities of the Argentine version of the Dutch Work Addiction Scale (DUWAS) Omar, Alicia Graciela WORK ADICTION DUWAS FACTORIAL ANALYSIS VALIDITY WORKAHOLISM SCALE VALIDATION |
| title_short |
Psychometric qualities of the Argentine version of the Dutch Work Addiction Scale (DUWAS) |
| title_full |
Psychometric qualities of the Argentine version of the Dutch Work Addiction Scale (DUWAS) |
| title_fullStr |
Psychometric qualities of the Argentine version of the Dutch Work Addiction Scale (DUWAS) |
| title_full_unstemmed |
Psychometric qualities of the Argentine version of the Dutch Work Addiction Scale (DUWAS) |
| title_sort |
Psychometric qualities of the Argentine version of the Dutch Work Addiction Scale (DUWAS) |
| dc.creator.none.fl_str_mv |
Omar, Alicia Graciela Salessi, Solana Magalí Vaamonde, Juan Diego Urteaga Omar, Alicia Florencia |
| author |
Omar, Alicia Graciela |
| author_facet |
Omar, Alicia Graciela Salessi, Solana Magalí Vaamonde, Juan Diego Urteaga Omar, Alicia Florencia |
| author_role |
author |
| author2 |
Salessi, Solana Magalí Vaamonde, Juan Diego Urteaga Omar, Alicia Florencia |
| author2_role |
author author author |
| dc.subject.none.fl_str_mv |
WORK ADICTION DUWAS FACTORIAL ANALYSIS VALIDITY WORKAHOLISM SCALE VALIDATION |
| topic |
WORK ADICTION DUWAS FACTORIAL ANALYSIS VALIDITY WORKAHOLISM SCALE VALIDATION |
| purl_subject.fl_str_mv |
https://purl.org/becyt/ford/5.1 https://purl.org/becyt/ford/5 |
| dc.description.none.fl_txt_mv |
The objective of this study was to validate the 10-item Dutch Work Addiction Scale (DUWAS) for use with Argentine workers. This measure comprises a total of 10 items equally distributed in two dimensions: working excessively and working compulsively. Data were obtained from 459 employees of public and private organizations (52.3% men; Mtenure = 6.5 years). Participants completed the adapted version of the DUWAS together with measures of work passion, job satisfaction, and work-family enrichment. In line with the original validation, exploratory factor analysis revealed a two-factor structure, namely working excessively and working compulsively. Confirmatory factory analysis showed satisfactory standardized loadings and good model fit indices for the two-factor model (SBχ2 = 2.35; GFI = .90; CFI = .96; RMSEA = .03; 95% CI [.04; .05]; AIC = 150.31). Both factors showed good internal consistency and composite reliability, and presented expected correlations with the other study variables. These findings support the use of the DUWAS to identify, prevent, and reduce the harmful consequences of work addiction within Argentine organizations. Fil: Omar, Alicia Graciela. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Rosario; Argentina. Universidad Nacional de Rosario. Facultad de Humanidades y Artes. Instituto de Investigaciones; Argentina Fil: Salessi, Solana Magalí. Universidad Nacional de Rosario. Facultad de Humanidades y Artes; Argentina. Universidad Nacional de Rafaela.; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Rosario; Argentina Fil: Vaamonde, Juan Diego. Universidad Nacional de Rosario. Facultad de Psicología; Argentina. Universidad Nacional de Rafaela.; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Rosario; Argentina Fil: Urteaga Omar, Alicia Florencia. Universidad Autónoma de Entre Ríos; Argentina |
| description |
The objective of this study was to validate the 10-item Dutch Work Addiction Scale (DUWAS) for use with Argentine workers. This measure comprises a total of 10 items equally distributed in two dimensions: working excessively and working compulsively. Data were obtained from 459 employees of public and private organizations (52.3% men; Mtenure = 6.5 years). Participants completed the adapted version of the DUWAS together with measures of work passion, job satisfaction, and work-family enrichment. In line with the original validation, exploratory factor analysis revealed a two-factor structure, namely working excessively and working compulsively. Confirmatory factory analysis showed satisfactory standardized loadings and good model fit indices for the two-factor model (SBχ2 = 2.35; GFI = .90; CFI = .96; RMSEA = .03; 95% CI [.04; .05]; AIC = 150.31). Both factors showed good internal consistency and composite reliability, and presented expected correlations with the other study variables. These findings support the use of the DUWAS to identify, prevent, and reduce the harmful consequences of work addiction within Argentine organizations. |
| publishDate |
2018 |
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2018-09 |
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info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion http://purl.org/coar/resource_type/c_6501 info:ar-repo/semantics/articulo |
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article |
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publishedVersion |
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http://hdl.handle.net/11336/104413 Omar, Alicia Graciela; Salessi, Solana Magalí; Vaamonde, Juan Diego; Urteaga Omar, Alicia Florencia; Psychometric qualities of the Argentine version of the Dutch Work Addiction Scale (DUWAS); Springer; Current Psychology; 2018; 9-2018; 1-11 1046-1310 1936-4733 CONICET Digital CONICET |
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http://hdl.handle.net/11336/104413 |
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Omar, Alicia Graciela; Salessi, Solana Magalí; Vaamonde, Juan Diego; Urteaga Omar, Alicia Florencia; Psychometric qualities of the Argentine version of the Dutch Work Addiction Scale (DUWAS); Springer; Current Psychology; 2018; 9-2018; 1-11 1046-1310 1936-4733 CONICET Digital CONICET |
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eng |
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eng |
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Springer |
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Springer |
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CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicas |
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dasensio@conicet.gov.ar; lcarlino@conicet.gov.ar |
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