Keywords
competencias
formación
capital humano
infraestructura
perspectivas
actividad económica
COVID-19
pandemia
crisis
reactivación
diagnóstico
negocios
empresas
organizaciones economy
skills
training
human capital
infrastructure
prospects
economic activity
COVID-19
pandemic
crisis
reactivation
diagnosis
business
companies
organizations
How to Cite
Abstract
The objective of the study was the psychometric validation of a scale of own elaboration for the measurement of the perspectives of undergraduate students on the competences, training requirements, infrastructure, and human capital that the state of Tabasco, Mexico, requires for recovery of post-COVID-19 economic activity. Data was collected anonymously online, and each participant provided informed consent at the beginning of the questionnaire. A subsample of 368 students was selected. An exploratory factor analysis (EFA) was performed, using the factor extraction method by maximum likelihood with direct Oblimin rotation, reporting factor loadings greater than 0.5, thus meeting the minimum criteria to maintain all items. To validate the theoretical model, a Confirmatory Factor Analysis (CFA) was carried out, which allowed us to demonstrate the validity of the previously obtained structure. The model fit indicators (SRMR, AGFI, RMSEA, TLI, and CFI) were calculated, for which satisfactory values were obtained. The measurement model confirms the theoretical structure through the main adjustment indicators of both the exploratory and confirmatory factor analysis. The results present a contribution to the study of the rehabilitation process of economic activities after the COVID-19 pandemic. From a methodological perspective, it provides a solid and reliable diagnostic tool for the development of regional economic recovery programs.
References
Batista-Foguet, J. M., Coenders, G., y Alonso, J. (2004). Confirmatory factor analysis. Its role on the validation of health-related questionnaires. Medicina Clínica, 122(Suppl 1), 21-27. https://doi.org/10.1157/13057542
Boissay, F., y Rungcharoenkitkul, P. (2020). Macroeconomic effects of Covid-19: an early review. Bank for International Settlements Bulletin, (7), 1-9. https://www.bis.org/publ/bisbull07.htm
Chiatchoua, C., Lozano, C. y Macías-Durán, J. (2020). Análisis de los efectos del COVID-19 en la economía mexicana. Revista Del Centro de Investigación de La Universidad La Salle, 14(53), 265-290. https://doi.org/10.26457/recein.v14i53.2683
Comisión Económica para América Latina y el Caribe [CEPAL]. (2020a). Informe Especial COVID-19 No 4: las empresas frente a la COVID-19: emergencia y reactivación. https://www.cepal.org/es/temas/covid-19
Comisión Económica para América Latina y el Caribe [CEPAL]. (2020b). Informe Especial COVID-19 No 5: Enfrentar los efectos cada vez mayores del COVID-19 para una reactivación con igualdad: nuevas proyecciones. https://www.cepal.org/es/publicaciones/45782-enfrentar-efectos-cada-vez-mayores-covid-19-reactivacion-igualdad-nuevas
Comisión Económica para América Latina y el Caribe [CEPAL]. (2020c). Measuring the impact of COVID-19 with a view to reactivation [Report]. Comisión Económica Para América Latina y El Caribe, 2(2), 1-21. https://repositorio.cepal.org/bitstream/handle/11362/45477/S2000285_en.pdf?sequence=4
COVID-19 Economic Impact Surveys United Foundation. (2020). Home_COVID-19 Economic Impact Surveys. https://www.covid-impact.org/
Cupani, M. (2012). Análisis de Educaciones Estructurales: conceptos, etapas de desarrollo y un ejemplo de aplicación. Revista Tesis, (1), 186-199. https://revistas.unc.edu.ar/index.php/tesis/article/download/2884/2750
Deloitte. (2019). Liderando la empresa social: reinvención con un enfoque humano. Tendencias globales de capital humano 2019. https://www2.deloitte.com/ni/es/pages/human-capital/articles/human-capital-trends-2019.html#
Deloitte. (2020). La empresa social en acción: La paradoja como camino hacia adelante. Tendencias globales de capital humano 2020. https://www2.deloitte.com/ni/es/pages/human-capital/articles/human-capital-trends-2019.html#
Dunn, T. J., Baguley, T., y Brunsden, V. (2014). From alpha to omega: A practical solution to the pervasive problem of internal consistency estimation. British Journal of Psychology, 105(3), 399-412. https://doi.org/10.1111/bjop.12046
Fernández A. (2015). Aplicación del análisis factorial confirmatorio a un modelo de medición del rendimiento académico en lectura. Ciencias Económicas, 33(2), 39-66. http://dx.doi.org/10.15517/rce.v33i2.22216
Fong, C., Flores, K. E. y Cardoza, L. M. (2017). La teoría de recursos y capacidades: un análisis bibliométrico. Nova Scientia, 9(19), 411-440. https://doi.org/10.21640/ns.v9i19.739
Gaskin, J., James, M. y Lim, J. (2019). Master Validity Tool [AMOS Plugin]. http://statwiki.kolobkreations.com/
Henseler, J., Ringle, C. M., y Sarstedt, M. (2014). A new criterion for assessing discriminant validity in variance-based structural equation modeling. Journal of the Academy of Marketing Science, 43(1), 115-135. https://doi.org/10.1007/s11747-014-0403-8
Hu, L. T., y Bentler, P. M. (1999). Cutoff criteria for fit indexes in covariance structure analysis: Conventional criteria versus new alternatives. Structural Equation Modeling, 6(1), 1-55. https://doi.org/10.1080/10705519909540118
Huynh, T. L. (2020). The COVID-19 risk perception: A survey on socioeconomics and media attention. Economic Bulletin, 40(1), 758-764. http://www.accessecon.com/Pubs/EB/2020/Volume40/EB-20-V40-I1-P64.pdf
IBM (2017). SPSS Statistics (Versión 25) [Computer software].
IBM (2019). SPSS Amos (Versión 26) [Computer software].
International Labour of Conference. (2020). Promoting employment and decent work in a changing landscape Promoting employment and decent work in a changing landscape. https://www.ilo.org/wcmsp5/groups/public/---ed_norm/---normes/documents/publication/wcms_736638.pdf
International Labour Organization. (2020a). Taking stock of the initial responses in technical data from Obstacles faced COVID-19 outbreak TVET institutional responses to COVID-19. https://www.ilo.org/wcmsp5/groups/public/---ed_emp/---ifp_skills/documents/publication/wcms_767890.pdf
International Labour Organization. (2020b). TVET and skills development in the time of Covid-19. In Skills development in the time of COVID-19 Taking stock of the initial responses in technical and vocational education and training. https://gemreportunesco.wordpress.com/2020/04/28/tvet-and-skills-development-in-the-time-of-covid-19/
JASP Team (2020). JASP (Version 0.13) [Computer software].
Jackman, J. A., Gentile, D. A., Cho, N. J. y Park, Y. (2021). Addressing the digital skills gap for future education [comment]. Nature Human Behavior. https://doi.org/10.1038/s41562-021-01074-z
King, M. F., y Bruner, G. C. (2000). Social desirability bias: A neglected aspect of validity testing social desirability bias: a neglected aspect of validity testing. Psychology y Marketing, 17(2), 79-103. https://doi.org/10.1002/(SICI)1520-6793(200002)17
Krejcie, R. V, y Morgan, D. W. (1970). Determining Sample Size for Research Activities. Education and Psychological Measurement, 30, 607-610. https://doi.org/10.1177/001316447003000308
Lai, P. (2017). the Literature Review of Technology Adoption Models and Theories for the Novelty Technology. Journal of Information Systems and Technology Management, 14(1), 21-38. https://doi.org/10.4301/s1807-17752017000100002
Ledesma, R. (2008). Introducción al Bootstrap . Tutorials in Quantitative Methods for Psychology, 4(2), 51-60. https://doi.org/10.20982/tqmp.04.2.p051
Littlewood, H. F., y Bernal, E. R. (2014). Mi primer modelamiento de ecuaciones estructurales. Herman Frank Littlewood Zimmerman.
Magaña-Medina, D. E. y Aguilar-Morales, N. (2021). Propuesta de un modelo de sendero para analizar algunos efectos percibidos a causa de la COVID-19 en la actividad productiva. Estudios Gerenciales, 37(158), 61-72. https://doi.org/10.18046/j.estger.2021.158.4436
Manco-Chávez, J. A., Uribe-Hernández, Y. C., Buendia-Aparcana, R., Vértiz-Osores, J. J., Alcoser, S. D. I. y Rengifo-Lozano, R. A. (2020). Integration of ICTS and digital skills in times of the pandemic COVID-19. International Journal of Higher Education, 9(9), 11-20. https://doi.org/10.5430/ijhe.v9n9p11
Manzano, A., y Zamora, S. (2010). Sistema de ecuaciones estructurales: 4. Centro Nacional de Evaluación para la Educación Superior, A.C.
McKibbin, W., y Roshen, F. (2020). The Global Macroeconomic Impacts of COVID-19. Brookings Institute, (March), 1-43. https://www.brookings.edu/wp-content/uploads/2020/03/20200302_COVID19.pdf
Monterey County. (2020). COVID-19 Business economic impact survey. https://survey123.arcgis.com/share/62108f58a78b47148ee082a3ef23563d
Organización Internacional de Trabajo [OIT]. (2020). Panorama laboral 2020. Organización Internacional Del Trabajo, 201. https://www.ilo.org/wcmsp5/groups/public/---americas/---ro-lima/documents/publication/wcms_764630.pdf
Organización para la Cooperación y el Desarrollo Económicos [OECD]. (2020). OECD Economic Surveys: Greece 2020. OECD Publishing. https://doi.org/https://doi.org/10.1787/b04b25de-en
Ontario Ministry of Finance. (2020). Survey_ Economic impacts of COVID-19 _ Ontario. https://www.ontario.ca/form/survey-economic-impacts-covid-19
Organización de las Naciones Unidas [ONU]. (2020a). A UN framework for the immediate socio-economic response to COVID-19. United Nations (Issue April). https://www.un.org/sites/un2.un.org/files/un_framework_report_on_covid-19.pdf
Organización de las Naciones Unidas [ONU]. (2020b). E-Government Survey 2020. Digital Government in the Decade of action for sustainable development. https://publicadministration.un.org/egovkb/Portals/egovkb/Documents/un/2020-Survey/2020%20UN%20E-Government%20Survey%20(Full%20Report).pdf
Organización de las Naciones Unidas [ONU]. (2020c). Shared Responsibility, Global Solidarity: Responding to the Socio-Economic Impacts of Covid-19. United Nations, March, 1-26. https://www.un.org/sites/un2.un.org/files/sg_report_socio-economic_impact_of_covid19.pdf
Organización de las Naciones Unidas para la Educación, la Ciencia y la Cultura [UNESCO]. (2020). COVID-19 y educación superior: De los efectos inmediatos al día después. Análisis de impactos , respuestas políticas y recomendaciones. http://www.iesalc.unesco.org/wp-content/uploads/2020/05/COVID-19-ES-130520.pdf
Pagés, C., Aclan, C., Alfonso, M., Arroio, R., Irigoyen, J. L., Mejía, I., y Tejerina, L. (2020). Del confinamiento a la reapertura: Consideraciones estratégicas para el reinicio de las actividades en América Latina y el Caribe en el marco de la COVID-19. Banco Interamericano de Desarrollo. https://doi.org/10.18235/0002349
Pan American Health Organization, y World Health Organization. (2020). Rehabilitation considerations during the outbreak COVID-19. PAHO - WHO. https://doi.org/www.paho.org/coronavirus
Römer, M., Dunn, B., Stettler, E., y Arora, V. (2020). Developing winning IT business strategies post-COVID-19. Kearney. https://www.kearney.com/digital-transformation/article/?/a/developing-winning-it-business-strategies-post-covid-19
San Benito County Administration. (2020). San Benito County COVID-19 Economic Impact Survey. https://www.surveymonkey.com/r/QHX36CV
Sánchez, A., Magaña, D.E., Aquino, S.P., Gómez, N.P., Cornelio, E.M., Silva, M.P., Palmeros, G., Aguilar, N., Rodríguez, A.R. y Corona, A. (2020). Diagnóstico participativo post COVID-19 en Tabasco [Proyecto de Investigación Inédito]. Universidad Juárez Autónoma de Tabasco-Consejo de Ciencia y Tecnología del Estado de Tabasco
Scott, C.L. (2015). El futuro del aprendizaje 2 ¿Qué tipo de aprendizaje se necesita en el siglo XXI? [Documentos de Trabajo ERF, No. 14]. Investigación y Prospectiva en Educación UNESCO.
Urrutia Egaña, M., Barrios Araya, S., Gutiérrez Núñez, M., y Mayorga Camus, M. (2015). Métodos óptimos para determinar validez de contenido. Revista Cubana de Educación Médica Superior, 28(3), 547-558. http://scielo.sld.cu/scielo.php?script=sci_arttext&pid=S0864-21412014000300014
Valdés-Cuervo, A. A., García-Vázquez, F., Torres-Acuña, G. M., Urías-Murrieta, M., y Grijalva-Quiñonez, C. S. (2019). Medición en Investigación Educativa con Apoyo del SPSS y el AMOS. Instituto Tecnológico de Sonora.
Venkatesh, V., y Bala, H. (2008). Technology acceptance model 3 and a research agenda on interventions. Decision Sciences, 39(2), 273-315. https://doi.org/10.1111/j.1540-5915.2008.00192.x
Ventura-León, J. L., y Caycho-Rodríguez, T. (2017). El coeficiente Omega: un método alternativo para la estimación de la confiabilidad. Revista Latinoamericana En Ciencias Sociales, Niñez y Juventud, 15(1), 625-627. https://doi.org/10.11600/1692715x.13110020813
Weller, J. (2020). La pandemia del COVID-19 y su efecto en las tendencias de los mercados laborales.
https://www.cepal.org/es/publicaciones/apps
Williams, B., Brown, T., y Onsman, A. (2010). Exploratory factor analysis: A five-step guide for novices. Australasian Journal of Paramedicine, 8(3), 1-13. https://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.475.8594&rep=rep1&type=pdf
World Bank Group. (2020). Propuesta de lista de verificación de la sostenibilidad para evaluar las intervenciones de recuperación económica. Abril de 2020. http://pubdocs.worldbank.org/en/254301587410909038/lista-de-verificacion-de-la-sostenibilidad-para-evaluar-las-intervenciones-de-recuperacion-economica.pdf
Yuan, K. H. (2005). Fit indices versus test statistics. Multivariate Behavioral Research, 40(1), 115-148. https://doi.org/10.1207/s15327906mbr4001_5
Zhang, S., Moeckel, R., Tsui Moreno, A., Shuai, B., y Gao, J. (2020). A work-life conflict perspective on telework. Transportation Research Part A: Policy and Practice, 141, 51-68. https://dx.doi.org/10.1016%2Fj.tra.2020.09.007
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