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Internal Structure of the Work–Family Conflict Questionnaire (WFCQ) in Teacher Teleworking

Author

Listed:
  • Henry Santa-Cruz-Espinoza

    (Escuela Profesional de Psicología, Universidad Autónoma del Perú, Lima 15842, Peru)

  • Gina Chávez-Ventura

    (Instituto de Investigación en Ciencia y Tecnología, Universidad César Vallejo, Trujillo 13009, Peru)

  • Julio Domínguez-Vergara

    (Dirección de Investigación, Universidad Tecnológica del Perú, Lima 15046, Peru)

  • César Merino-Soto

    (Instituto de Investigación de Psicología, Universidad de San Martín de Porres, Surquillo 15036, Peru)

Abstract

The interference between family and work roles has led to the development of scales for their measurement. However, instrumental studies of work–family conflict have not been conducted in the context of teacher teleworking during the COVID-19 pandemic. For this reason, the objectives of this study were set to obtain evidence of the internal structure and fairness of the Blanch and Aluja Work–Family Conflict Questionnaire, as well as its association with job satisfaction and other sociodemographic variables. A total of 235 Peruvian school teachers between the ages of 24 and 72 years (M = 43.79 and SD = 9.67) responded to the scale using the online form. The analysis employed the non-parametric item response theory modeling (Mokken scaling analysis). The structure of two correlated factors was confirmed: work conflict in the family (WCF) and family conflict in the work (FCW). Both dimensions were invariant with respect to sex group and educational level. The association of both dimensions with job satisfaction was theoretically convergent, and the gender of the teachers slightly moderated this relationship. The reliability was adequate for group research. Finally, the instrument can be useful in the organizational context of teachers who telework.

Suggested Citation

  • Henry Santa-Cruz-Espinoza & Gina Chávez-Ventura & Julio Domínguez-Vergara & César Merino-Soto, 2023. "Internal Structure of the Work–Family Conflict Questionnaire (WFCQ) in Teacher Teleworking," IJERPH, MDPI, vol. 20(2), pages 1-16, January.
    • Handle: RePEc:gam:jijerp:v:20:y:2023:i:2:p:970-:d:1025812
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    References listed on IDEAS

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    1. Cezary Kuśnierz & Aleksandra M. Rogowska & Karolina Chilicka & Iuliia Pavlova & Dominika Ochnik, 2022. "Associations of Work-Family Conflict with Family-Specific, Work-Specific, and Well-Being-Related Variables in a Sample of Polish and Ukrainian Adults during the Second Wave of the COVID-19 Pandemic: A," IJERPH, MDPI, vol. 19(17), pages 1-20, September.
    2. Yura Loscalzo, 2021. "The Impact of Workaholism and Work Engagement on Distant Learning and Work-Family Conflict During the COVID-19 Lockdown," The AMFITEATRU ECONOMIC journal, Academy of Economic Studies - Bucharest, Romania, vol. 23(58), pages 752-752, August.
    3. Sarbu, Miruna, 2018. "The role of telecommuting for work-family conflict among German employees," Research in Transportation Economics, Elsevier, vol. 70(C), pages 37-51.
    4. Mazza, Angelo & Punzo, Antonio & McGuire, Brian, 2014. "KernSmoothIRT: An R Package for Kernel Smoothing in Item Response Theory," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 58(i06).
    5. J. Ramsay, 1991. "Kernel smoothing approaches to nonparametric item characteristic curve estimation," Psychometrika, Springer;The Psychometric Society, vol. 56(4), pages 611-630, December.
    6. van der Ark, L. Andries, 2012. "New Developments in Mokken Scale Analysis in R," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 48(i05).
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