Development and Validation of a Work Addiction Scale (WAS) in Peruvian Workers
DOI:
https://doi.org/10.69653/iah20234Keywords:
Work, Addiction, Occupational, Health, MeasurementAbstract
Background: Work addiction has garnered increasing interest in scientific literature due to its impact on individual and organizational well-being. Although various scales have been proposed for its measurement, there's a need for a validated and robust tool to accurately assess this construct. Objective: The primary aim of the study was to validate a work addiction scale. Methods: Content validity was assessed using Aiken's V index, descriptive statistics for each item, and Exploratory Factor Analysis (EFA) to identify the scale's underlying structure. This was followed by a Confirmatory Factor Analysis (CFA) to verify the proposed structure. Results: A total of 423 adults aged 18 to 47 years (M=34.22, SD=9.54) participated. Content validity revealed strong quality in most items. However, deficiencies were identified in specific items that did not meet the recommended threshold. The EFA confirmed two factors, though some items showed low communality or did not align with the anticipated theoretical dimensions. The CFA demonstrated good model fit and high reliability in both subdimensions of the scale. Conclusions: The proposed scale to measure work addiction is reliable and valid, though consideration should be given to eliminating or revising certain items to optimize it. This tool offers a valuable resource for research and professional practice in occupational health and organizational psychology.
References
Andreassen, C. S. (2014). Workaholism: An overview and current status of the research. In Journal of Behavioral Addictions (Vol. 3, Issue 1). https://doi.org/10.1556/JBA.2.2013.017
Andreassen, C. S., Griffiths, M. D., Hetland, J., & Pallesen, S. (2012). Development of a work addiction scale. Scandinavian Journal of Psychology, 53(3), 265–272. https://doi.org/10.1111/J.1467-9450.2012.00947.X
Ato, M., López, J., & Benavente, A. (2013). Un sistema de clasificación de los diseños de investigación en psicología. Anales de Psicología, 29(3), 1038–1059. https://doi.org/10.6018/analesps.29.3.178511
BBC, M. (2018). Los países del mundo en los que se trabaja más horas (y los dos primeros son de América Latina). British Broadcasting Corporation.
Brown, T. A. (2015). Confirmatory factor analysis for applied research (2nd ed.). Guilford Press.
Cabarcos, A. (2018). Adicción al trabajo y salud laboral: Causas y repercusiones sobre el trabajador. Universidade da Coruña.
Castañeda, E., & García de Alba, J. (2011). Perspectivas actuales de la adicción al trabajo. Psicología y Salud, 21(1), 131–139.
Clark, M. A., Smith, R. W., & Haynes, N. J. (2020). The Multidimensional Workaholism Scale: Linking the conceptualization and measurement of workaholism. Journal of Applied Psychology, 105(11). https://doi.org/10.1037/apl0000484
Del Líbano, M., Llorens, S., Schaufeli, W., & Salanova, M. (2006). Adicción al trabajo: concepto y evaluación (I). Gestión Práctica de Riesgos Laborales, 27, 24–30.
Escurra Mayaute, L. M. (1988). Cuantificación de la validez de contenido por criterio de jueces. Revista de Psicología, 6(1–2), 103–111.
Ferrando, P. J., & Anguiano-Carrasco, C. (2010). El análisis factorial como técnica de investigación en psicología. Papeles Del Psicologo, 31(1).
Fleming, J. S., & Merino Soto, C. (2005). Medidas de simplicidad y de ajuste factorial: un enfoque para la evaluación de escalas construidas factorialmente. Revista de Psicología, 23(2). https://doi.org/10.18800/psico.200502.002
Flowers, C. P., & Robinson, B. (2002). A structural and discriminant analysis of the work addiction risk test. In Educational and Psychological Measurement (Vol. 62, Issue 3). https://doi.org/10.1177/00164402062003008
García, N. (2018). Jornadas laborales en países de la OCDE y América Latina. Biblioteca Del Congreso Nacional de Chile BCM.
Hancock, G. R., & Mueller, R. O. (2001). Rethinking Construct Reliability within Latent Variable Systems. In R. Cudeck, S. D. Toit, & D. Soerbom (Eds.), Structural Equation Modeling: Present and Future—A Festschrift in Honor of Karl Joreskog (pp. 195–216). Scientific Software International.
INEI. (2022). Población ocupada del país alcanzó los 17 millones 120 mil personas en el año 2021.
Kaiser, H. F. (2016). The Application of Electronic Computers to Factor Analysis: Educational and Psychological Measurement, 20(1), 141–151. https://doi.org/10.1177/001316446002000116
Kline, R. B. (2016). Principles and practice of structural equation modeling (Cuarta Ed.). Guilford Press.
Morkevičiūtė, M., & Endriulaitienė, A. (2023). The Role of an Individual and a Situation in Explaining Work Addiction: Disclosing Complex Relations. International Journal of Environmental Research and Public Health, 20(5). https://doi.org/10.3390/ijerph20054560
Moyer, F., Azis, S., & Wuensch, K. (2017). De la adicción al trabajo al burnout: el capital psicológico como mediador. International Journal of Workplace Health Management, 10, 213–227.
Muthen, L., & Muthen, B. (2017). MPlus user’ guide (8th ed.).
Pérez, E. R., & Medrano, L. (2010). Análisis factorial exploratorio : Bases conceptuales y metodológicas. Revista Argentina de Ciencias Del Comportamiento, 2(1), 58–66.
Porras, N., & Parra, L. (2018). La adicción al trabajo como síntoma del malestar laboral contemporáneo. Revista Científica y Profesional de La Asociación Latinoamericana Para La Formación y La Enseñanza de La Psicología – ALFEPSI., 6, 4–14.
Porter, G. (1996). Organizational impact of workaholism: suggestions for researching the negative outcomes of excessive work. Journal of Occupational Health Psychology, 1(1). https://doi.org/10.1037/1076-8998.1.1.70
Quinones, C., & Griffiths, M. (2015). Addiction to Work: A Critical Review of the Workaholism Construct and Recommendations for Assessment. Journal of Psychosocial Nursing and Mental Health Services., 48–59.
Robinson, B. E. (1989). Workaholism: Hidden Legacies of Adult Children. Health Communications: Deerfield Beach.
Robinson, B. E., & Post, P. (1994). Validity of the Work Addiction Risk Test. Perceptual and Motor Skills, 78(1). https://doi.org/10.2466/pms.1994.78.1.337
Salanova, M., Líbano, M., Llorens, S., & Schaufeli, W. B. (2008). La adicción al trabajo. Notas Técnicas de Prevención.
Salas, E., & Copez, A. (2018). ¡ Necesito seguir trabajando ! Una revisión conceptual sobre la adicción al trabajo. Asociación de Docentes de La Universidad de San Martín de Porres., 32, 331–352. https://doi.org/al sobre la adicción al trabajo https://doi.org/10.24265/cultura.2018.v32.15
Schaufeli, W. B., Taris, T. W., & Bakker, A. B. (2008). It takes two to tango: Workaholism is working excessively and working compulsively. In The long work hours culture. Causes, consequences and choices.
Schumacker, R. E., & Lomax, R. G. (2016). A Beginner´s Guide to Structural Equation Modeling (4th ed.). Taylor & Francis.
Sícoli, C. P. (2016). Book review: Peru: Staying the course of economic success. In The American Economist (Vol. 62, Issue 1). https://doi.org/https://doi.org/10.1177/0569434516672758
Snir, R., & Harpaz, I. (2012). Beyond workaholism: Towards a general model of heavy work investment. Human Resource Management Review, 22(3). https://doi.org/10.1016/j.hrmr.2011.11.011
Soper, D. (2023). A-priori Sample Size Calculator for structural equation models. Software.
Sussman, S. (2012). Workaholism: A Review. Journal of Addiction, 1–20. https://doi.org/10.4172/2155-6105.S6-001.Workaholism
Taris, T. W., Schaufeli, W. B., & Shimazu, A. (2010). The push and pull of work: The differences between workaholism and work engagement. In Work Engagement: A Handbook of Essential Theory and Research.
VandenBos, G. R., & American Psychological Association. (2015). APA dictionary of Psychology (G. R. VandenBos & A. P. Association (eds.); 2nd ed.). American Psychological Association.
Volkow, N. D., & Morales, M. (2015). The Brain on Drugs: From Reward to Addiction. In Cell (Vol. 162, Issue 4). https://doi.org/10.1016/j.cell.2015.07.046
Worthington, R. L., & Whittaker, T. A. (2016). Scale Development Research: A Content Analysis and Recommendations for Best Practices. The Counseling Psychologist, 34(6), 806–838. https://doi.org/10.1177/0011000006288127
Zinbarg, R. E., Revelle, W., Yovel, I., & Li, W. (2005). Cronbach’s α, Revelle’s β, and Mcdonald’s ω H : their relations with each other and two alternative conceptualizations of reliability. Psychometrika 2005 70:1, 70(1), 123–133. https://doi.org/10.1007/S11336-003-0974-7