Propiedades psicométricas de la Escala de Carga de Trabajo en profesores ecuatorianos

Psychometric Properties of the Workload scale in Ecuadorian Teachers

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Franco Agustín Méndez-Toledo
Yorguin Eduardo Martínez-Blanco
Josué Edison Turpo-Chaparro
Resumen

El objetivo de la presente investigación fue analizar las propiedades psicométricas de la escala de carga de trabajo en profesores ecuatorianos. Se desarrolló un estudio de diseño instrumental donde se analizaron los datos de 304 profesores de ambos sexos cuyas edades oscilaron entre 20 y 60 años. El análisis factorial confirmatorio mostró que la estructura interna de la escala de carga de trabajo es satisfactoria ((χ2 = 28,147, df = 9, p = 0.01; CFI = 0.958; TLI = 0.931 y RMSEA = 0.080), se alcanzó evidencia de validez convergente y discriminante. La confiabilidad es aceptable (α > 0.8). Se concluye que la escala de carga de trabajo en profesores ecuatorianos es una medida breve válida y confiable.

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Biografía del autor/a / Ver

Franco Agustín Méndez-Toledo, Escuela de Posgrado, Universidad Peruana Unión, Lima, Perú

Vicerrector Académico de la Universidad Peruana Unión.

Yorguin Eduardo Martínez-Blanco, Escuela de Posgrado, Universidad Peruana Unión, Lima, Perú

Departamental de Publicaciones de la Universidad Peruana Unión.

Josué Edison Turpo-Chaparro, Escuela de Posgrado, Universidad Peruana Unión, Lima, Perú

Director de Investigación de la Escuela de Posgrado, Universidad Peruana Unión. Doctor en
Educación.

Referencias / Ver

Acosta-Romo, M. F., & Maya-Pantoja, G. J. (2020). Competencias clínicas y carga laboral del profesional de Enfermería en la Unidad de Cuidado Intensivo adulto. Revista Ciencia y Cuidado, 17(2), 22–32. https://doi.org/10.22463/17949831.1698

Ahuja, M., Chudoba, K. M., George, J. F., Kacmar, C., & McKnight, H. (2002). Overworked and isolated? Predicting the effect of work-family conflict, autonomy, and workload on organizational commitment and turnover of virtual workers. Proceedings of the 35th Annual Hawaii International Conference on System Sciences, 3586–3593. https://doi.org/10.1109/HICSS.2002.994454

Alvites-Huamaní, C. G. (2019). Estrés docente y factores psicosociales en docentes de Latinoamérica, Norteamérica y Europa. Propósitos y Representaciones, 7(3), 141. https://doi.org/10.20511/pyr2019.v7n3.393

Ato, M., López-García, J. 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

Boedeker, W. (2001). Associations Between Workload and Diseases Rarely Occurring in Sickness Absence Data. Journal of Occupational and Environmental Medicine, 43(12), 1081–1088. https://doi.org/10.1097/00043764-200112000-00010

Calderón-De la Cruz, G. A., Merino-Soto, C., Juárez-García, A., & Jimenez-Clavijo, M. (2018). Validación de la Escala de Carga de Trabajo en Trabajadores Peruanos. Archivos de Prevención de Riesgos Laborales, 21(3), 123–127. https://doi.org/10.12961/aprl.2018.21.03.2

De Cuyper, N., & De Witte, H. (2006). Autonomy and workload among temporary workers: Their effects on job satisfaction, organizational commitment, life satisfaction, and self-rated performance. International Journal of Stress Management, 13(4), 441–459. https://doi.org/10.1037/1072-5245.13.4.441

Delgado-Gallegos, J. L., Montemayor-Garza, R. de J., Padilla-Rivas, G. R., Franco-Villareal, H., & Islas, J. F. (2020). Prevalence of Stress in Healthcare Professionals during the COVID-19 Pandemic in Northeast Mexico: A Remote, Fast Survey Evaluation, Using an Adapted COVID-19 Stress Scales. International Journal of Environmental Research and Public Health, 17(20), 1–12. https://doi.org/10.3390/ijerph17207624

Díaz, F., & Gómez, I. C. (2016). Research on burnout from 2000 to 2010 in Latin America. Psicología Desde El Caribe, 33(1), 113–131. https://doi.org/10.14482/psdc.33.1.8065

Ding, Y., Cao, Y., Duffy, V. G., Wang, Y., & Zhang, X. (2020). Measurement and identification of mental workload during simulated computer tasks with multimodal methods and machine learning. Ergonomics, 63(7), 896–908. https://doi.org/10.1080/00140139.2020.1759699

Dominguez-Lara, S., & Merino-Soto, C. (2015). ¿Por qué es importante reportar los intervalos de confianza del coeficiente alfa de Cronbach? Revista Latinoamericana En Ciencias Sociales, Niñez y Juventud, 13(2), 1326–1328. http://revistaumanizales.cinde.org.co/rlcsnj/index.php/Revista-Latinoamericana/article/view/2030

Esteban-Carranza, R. F., Mamani-Benito, O. J., Rodriguez-Alarcon, J. F., Corrales-Reyes, I. E., & Farfán-Solís, R. (2021). Escala de preocupación por el contagio de la COVID-19 en personal de la salud peruano. Revista Colombiana de Psiquiatría, 19–21. https://doi.org/10.1016/j.rcp.2021.03.006

Ferrando, P. J. (1996). Evaluación de la unidimensionalidad de los items mediante análisis factorial. Psicothema, 8(2), 397–410. http://www.psicothema.com/psicothema.asp?id=38

Firdaus, R. A., Akuba, S. F., & Purnamasari, D. (2019). The Influence of Motivation, Leadership and Perceived Workload as Intervening on Teacher Commitment. Journal of Educational Science and Technology (EST), 5(3), 268. https://doi.org/10.26858/est.v5i3.10847

Funke, G. J., Knott, B. A., Salas, E., Pavlas, D., & Strang, A. J. (2012). Conceptualization and Measurement of Team Workload. Human Factors: The Journal of the Human Factors and Ergonomics Society, 54(1), 36–51. https://doi.org/10.1177/0018720811427901

Gil-Monte, P. R. (2016). The UNIPSICO questionnaire: psychometric properties of the scales measuring psychosocial demands. Archivos de Prevención de Riesgos Laborales, 19(2), 86–94. https://doi.org/10.12961/aprl.2016.19.02.2

Gomes, A. P. R., & Quintão, S. D. R. (2012). Burnout, satisfação com a vida, depressão e carga horária em professores. Análise Psicológica, 29(2), 335–344. https://doi.org/10.14417/ap.56

Gonzalez, T., de la Rubia, M. A., Hincz, K. P., Comas-Lopez, M., Subirats, L., Fort, S., & Sacha, G. M. (2020). Influence of COVID-19 confinement on students’ performance in higher education. PLOS ONE, 15(10), 1–23. https://doi.org/10.1371/journal.pone.0239490

Henson, R. K. (2001). Understanding Internal Consistency Reliability Estimates: A Conceptual Primer on Coefficient Alpha. Measurement and Evaluation in Counseling and Development, 34(3), 177–189. https://doi.org/10.1080/07481756.2002.12069034

Hoyle, R. (1995). Structural Equation Modeling: Concepts, Issues, and Applications. SAGE Publications. https://www.amazon.com/Structural-Equation-Modeling-Concepts-Applications/dp/0803953186

Hu, L., & Bentler, P. M. (1999). Cutoff criteria for fit indexes in covariance structure analysis: Conventional criteria versus new alternatives. Structural Equation Modeling: A Multidisciplinary Journal, 6(1), 1–55. https://doi.org/10.1080/10705519909540118

Huyghebaert, T., Gillet, N., Beltou, N., Tellier, F., & Fouquereau, E. (2018). Effects of workload on teachers’ functioning: A moderated mediation model including sleeping problems and overcommitment. Stress and Health, 34(5), 601–611. https://doi.org/10.1002/smi.2820

Iivari, N., Sharma, S., & Ventä-Olkkonen, L. (2020). Digital transformation of everyday life – How COVID-19 pandemic transformed the basic education of the young generation and why information management research should care? International Journal of Information Management, 55(June), 1–6. https://doi.org/10.1016/j.ijinfomgt.2020.102183

Jacome-Muñoz, M., Noroña-Salcedo, D., & Vega-Falcon, V. (2021). Factores psicosociales y desempeño docente en un instituto superior tecnológico en Quito , Ecuador. Revista Médica Electrónica, 43(5), 1254–1268. http://scielo.sld.cu/scielo.php?script=sci_arttext&pid=S1684-18242021000501254#B5

Kahraman, T., Göz, E., & Genç, A. (2018). Validity and reliability of the Turkish version of the Physical Workload Questionnaire. Work, 59(2), 295–302. https://doi.org/10.3233/WOR-172670

Karasek, R. A. (1979). Job Demands, Job Decision Latitude, and Mental Strain: Implications for Job Redesign. Administrative Science Quarterly, 24(2), 285. https://doi.org/10.2307/2392498

Kim, K. (2019). Teachers ’ administrative workload crowding out instructional activities activities. Asia Pacific Journal of Education, 00(00), 1–19. https://doi.org/10.1080/02188791.2019.1572592

Kim, L. E., Jörg, V., & Klassen, R. M. (2019). A Meta-Analysis of the Effects of Teacher Personality on Teacher Effectiveness and Burnout. Educational Psychology Review, 31(1), 163–195. https://doi.org/10.1007/s10648-018-9458-2

Kjønø, L. G., Killingmo, R. M., Vigdal, Ø. N., Grotle, M., & Storheim, K. (2022). Assessing physical workload among people with musculoskeletal disorders: validity and reliability of the physical workload questionnaire. BMC Musculoskeletal Disorders, 23(1), 282. https://doi.org/10.1186/s12891-022-05222-y

Koksal, E., Dost, B., Terzi, Ö., Ustun, Y. B., Özdin, S., & Bilgin, S. (2020). Evaluation of Depression and Anxiety Levels and Related Factors Among Operating Theater Workers During the Novel Coronavirus (COVID-19) Pandemic. Journal of PeriAnesthesia Nursing, 35(5), 472–477. https://doi.org/10.1016/j.jopan.2020.06.017

Larzabal-Fernandez, A., Ramos-Noboa, M. I., Jaramillo-Zambrano, A., & Hong-Hong, A. E. (2020). Propiedades psicométricas de la Escala de Malestar Subjetivo de Kessler (K10) en adultos Ecuatorianos. CienciAmérica, 9(3), 27–40. https://doi.org/10.33210/ca.v9i3.265

Lemay, D. J., Bazelais, P., & Doleck, T. (2021). Transition to online learning during the COVID-19 pandemic. Computers in Human Behavior Reports, 4, 100130. https://doi.org/10.1016/j.chbr.2021.100130

Llorca-Rubio, J. L., Llorca-Pellicer, M., Gil-Monte, P. R., & Gil-LaOrden, P. (2022). Validación psicométrica de la batería UNIPSICO en valenciano/catalán: análisis de las escalas que evalúan las variables psicosociales de demanda. Archivos de Prevención de Riesgos Laborales, 25(3), 285–299. https://doi.org/10.12961/aprl.2022.25.03.05

Lloret-Segura, S., Ferreres-Traver, A., Hernández-Baeza, A., & Tomás-Marco, I. (2014). El análisis factorial exploratorio de los ítems: una guía práctica, revisada y actualizada. Anales de Psicología, 30(3). https://doi.org/10.6018/analesps.30.3.199361

Lozada, D., Paredes, M., Viloria, H., & Rivadeneira, D. (2021). Riesgos en el uso de whatsapp: Sobrecarga y desgaste profesional en docentes universitarios. Revista Universidad y Sociedad, 13(1), 219–226.

Matthews, G., De Winter, J., & Hancock, P. A. (2020). What do subjective workload scales really measure? Operational and representational solutions to divergence of workload measures. Theoretical Issues in Ergonomics Science, 21(4), 369–396. https://doi.org/10.1080/1463922X.2018.1547459

Merino-Soto, C., Calderón-De la Cruz, G., Gil-Monte, P., & Juárez-García, A. (2021). Validez sustantiva en el marco de la validez de contenido: Aplicación en la escala de Carga de Trabajo. Revista Argentina de Ciencias Del Comportamiento, 13(1), 81–92. http://www.scielo.org.ar/scielo.php?pid=S1852-42062021000100081&script=sci_abstract&tlng=en

Minaya-Herrera, M. E., Cabral, G. R., Mamani-Benito, O., Tarqui, E. E. A., & Landa-Barzola, M. (2022). Adaptation and workload as predictors of professional self-efficacy in Peruvian university teachers during the COVID-19 pandemic. Electronic Journal of Research in Educational Psychology, 20(56), 27–42.

Molina, G. A., Ayala, A. V., Endara, S. A., Aguayo, W. G., Rojas, C. L., Jiménez, G. E., Moyón, M. A., & Moyón, F. X. (2021). Ecuador and Covid-19: A pandemic we won’t be able to run away from. International Journal of Infectious Diseases, 109, 33–35. https://doi.org/10.1016/j.ijid.2021.05.077

Montani, F., Vandenberghe, C., Khedhaouria, A., & Courcy, F. (2020). Examining the inverted U-shaped relationship between workload and innovative work behavior: The role of work engagement and mindfulness. Human Relations, 73(1), 59–93. https://doi.org/10.1177/0018726718819055

Ocampo-Gómez, E., Jiménez-García, S., & Palacios-Ramírez, L. (2020). El investigador fragmentado: conflictos y tensiones derivados de la diversificación de su carga laboral. Revista Iberoamericana de Educación Superior, 11(30), 41–56. https://doi.org/10.22201/iisue.20072872e.2020.30.587

Perks, S. (2020). AI could reduce teacher workload. Physics World, 33(8), 11. https://doi.org/https://doi.org/10.1088/2058-7058/33/8/15

Rapanta, C., Botturi, L., Goodyear, P., Guàrdia, L., & Koole, M. (2020). Online University Teaching During and After the Covid-19 Crisis: Refocusing Teacher Presence and Learning Activity. Postdigital Science and Education, 2(3), 923–945. https://doi.org/10.1007/s42438-020-00155-y

Raykov, T. (2001). Bias of Coefficient afor Fixed Congeneric Measures with Correlated Errors. Applied Psychological Measurement, 25(1), 69–76. https://doi.org/10.1177/01466216010251005

Reyes, P., & Imber, M. (1992). Teachers’ perceptions of the fairness of their workload and their commitment, job satisfaction, and morale: Implications for teacher evaluation. Journal of Personnel Evaluation in Education, 5(3), 291–302. https://doi.org/10.1007/BF00125243

Saltos, M., Perez, C., Suarez, R., & Linares, S. (2018). Análisis de la carga laboral del personal de enfermería, según gravedad del paciente Analysis of the workload of nursing staff, according to the severity of the patient. Revista Cubana de Enfermeria, 34(2), 1–9. http://www.revenfermeria.sld.cu/index.php/enf/article/view/2170/366

Siegrist, J. (1996). Adverse health effects of high-effort/low-reward conditions. Journal of Occupational Health Psychology, 1(1), 27–41. https://doi.org/10.1037/1076-8998.1.1.27

Simancas-Pallares, M., Díaz-Cárdenas, S., Barbosa-Gómez, P., Buendía-Vergara, M., & Arévalo-Tovar, L. (2016). Propiedades psicométricas del Índice de Bienestar General-5 de la Organización Mundial de la Salud en pacientes parcialmente edéntulos. Revista de La Facultad de Medicina, 64(4), 701. https://doi.org/10.15446/revfacmed.v64n4.52235

Stachteas, P., & Stachteas, C. (2020). The psychological impact of the COVID-19 pandemic on secondary school teachers. Psychiatriki, 31(4), 293–301. https://doi.org/10.22365/jpsych.2020.314.293

Stapleton, P., Garby, S., & Sabot, D. (2020). Psychological distress and coping styles in teachers: A preliminary study. Australian Journal of Education, 64(2), 127–146. https://doi.org/10.1177/0004944120908960

Tacca, D., & Tacca, A. (2019). Sindrome de Burnout en profesores peruanos. Revista de Investigación Psicológica, 22(1), 11–30. http://www.scielo.org.bo/scielo.php?script=sci_arttext&pid=S2223-30322019000200003

Tomic, M., & Tomic, E. (2011). Existential fulfilment, workload and work engagement among nurses. Journal of Research in Nursing, 16(5), 468–479. https://doi.org/10.1177/1744987110383353

Varela, J., & Lévy, J. P. (2006). Modelización con estructuras de covarianzas en ciencias sociales. Netbiblo.

Weinger, M. B., Reddy, S. B., & Slagle, J. M. (2004). Multiple Measures of Anesthesia Workload During Teaching and Nonteaching Cases. Anesthesia & Analgesia, 98(5), 1419–1425. https://doi.org/10.1213/01.ANE.0000106838.66901.D2

Werang, B. (2017). The effect of workload, individual characteristics, and school climate on teachers´emotional exhaustion in elementary schools of Papua. Jurnal Cakrawala Pendidikan, 37(3), 457–469. https://doi.org/10.21831/cp.v38i3.20635

Yawson, D. E., & Yamoah, F. A. (2020). Understanding satisfaction essentials of E-learning in higher education: A multi-generational cohort perspective. Heliyon, 6(11), e05519. https://doi.org/10.1016/j.heliyon.2020.e05519

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