Construction and validation of a scale to assess socio-psychological and affective consequences of COVID-19

Construction and validation of a scale to assess socio-psychological and affective consequences of COVID-19

Main Article Content

David Javier Enríquez Negrete
Ricardo Sánchez-Medina

Abstract

The COVID-19 pandemic has generated different consequences, including susceptibility to infection with a potentially deadly virus, interpersonal relationships affected by confinement, and in some cases, a negative affective response to government decisions such as social distancing measures, school, workplaces and public transportation closures, and restrictions on meetings. The present study evaluated the psychometric fit of a scale that measures the socio-psychological and affective consequences of COVID-19. It was a cross-sectional, instrumental study; 582 Mexicans between 18 and 65 years of age (22.1% men, 77.9% women) participated. A scale was constructed with 14 Likert-type items with five answer options. The fit of the measurement model was evaluated through Exploratory Factor Analysis (EFA) and Confirmatory Factor Analysis (CFA). All items discriminated between high and low scores; the KMO and Bartlett's test of sphericity values were adequate to estimate the EFA. Four factors were identified: I) Deterioration of family relationships due to confinement (α=.88), II) Risk perception before COVID-19 (α=.84), III)Attitude about government health decisions (α=.94); and IV) Responsibility for health care (α=.70). The overall internal consistency index of the scale was α=.74 and ω=.75; the variance explained was 74.10%. However, the Parallel Analysis suggests only three dimensions: Factor I (α=.88; ω=.88), II (α=.94; ω=.94), and III (α=.84; ω=.84). This second model explains 79.28% and consists of 11 items. The model fit indices were acceptable: CMIN/DF=1.883; NFI=.984; CFI=.992; GFI=.979; AGFI=.964; SRMR=.029; RMSEA=.039. Having valid and reliable scales becomes a way to obtain relevant information as inputs for other research aimed at relating variables of interest or predicting preventive or risk behavior before COVID-19. 

References

Azlan, A. A., Hamzah, M. R., Sern, T. J., Ayub, S. H. y Mohamad, E. (2020). Public knowledge, attitudes and practices towards COVID-19: A cross-sectional study in Malaysia. PLOS ONE, 15(5), e0233668. https://doi.org/10.1371/journal.pone.0233668

Bell, J. (2020). The COVID-19 Pandemic: A Family Affair. Journal of Family Nursing, 26(2), 87-89. https://doi.org/10.1177/1074840720920883

Bollen, K. A. (1989). Structural Equations with Latent Variables. New York, John Wiley & Sons.

British Broadcasting Corporation (2020, marzo). Coronavirus | México registra el primer muerto por covid-19. Disponible en https://www.bbc.com/mundo/noticias-america-latina-51959283

Caldera-Villalobos, C., Garza-Veloz, I., Martínez-Avila, N., Delgado-Enciso, I., Ortiz-Castro, Y., Cabral-Pacheco, G. A., & Martinez-Fierro, M. L. (2020). The Coronavirus Disease (COVID-19) Challenge in Mexico: A Critical and Forced Reflection as Individuals and Society. Frontiers in Public Health, 8, 337. https://doi.org/10.3389/fpubh.2020.00337

Calleja, N. y Mason, T. A. (2020). Escala de Bienestar Subjetivo (EBS-20 y EBS-8): Construcción y Validación. Revista Iberoamericana de Diagnóstico y Evaluación, 55(2), 185-201. https://doi.org/10.21865/ridep55.2.14

Caro, Y., Ormsby, C., y Galindo, A. (2020, septiembre). Análisis de la Mortalidad en la Ciudad de México Durante el Primer Semestre de 2020 en el Contexto de la Pandemia por SARS-CoV-2. Informe Técnico, 12 de septiembre de 2020. Disponible en https://covid19.cdmx.gob.mx/storage/app/media/Exceso%20de%20mortalidad/informe-tecnico-comision-mortalidad-final-12sep2020-2docx.pdf

Carranza-Esteban, F., Mamani-Benito, O., Corrales-Reyes, I., Landa-Barzola, M., Marca-Dueñas, G., Tito-Betancur, V., y Tipo-Mamani, M. (2021). Evidencias psicométricas de una escala de preocupación por el contagio de la COVID-19 en internos peruanos. Revista Cubana de Investigaciones Biomédicas, 40(1), e1650. Disponible en http://scielo.sld.cu/scielo.php?script=sci_arttext&pid=S0864-03002021000200008&lng=es&tlng=es.

Chekole, Y. A., & Abate, S. M. (2021). Global prevalence and determinants of mental health disorders during the COVID-19 pandemic: A systematic review and meta-analysis. Annals of Medicine and Surgery (2012), 68, 102634. https://doi.org/10.1016/j.amsu.2021.102634

Chen, C., Byrne, E., & Vélez, T. (2022). Impact of the 2020 pandemic of COVID-19 on Families with School-aged Children in the United States: Roles of Income Level and Race. Journal of Family Issues, 43(3), 719–740. https://doi.org/10.1177/0192513X21994153

Clemente-Suárez, V. J., Dalamitros, A. A., Beltran-Velasco, A. I., Mielgo-Ayuso, J., & Tornero-Aguilera, J. F. (2020). Social and Psychophysiological Consequences of the COVID-19 Pandemic: An Extensive Literature Review. Frontiers in Psychology, 11, 580225. https://doi.org/10.3389/fpsyg.2020.580225

De Vicente-y-Oliva, M. y Manera-Bassa, J. (2003). El análisis factorial por componentes principales. En: J. Lévy, & J. Varela (Coords.), Análisis multivariable para las Ciencias Sociales (pp. 327-360). Madrid: Pearson Prentice Hall.

Feinberg, M. E., A Mogle, J., Lee, J. K., Tornello, S. L., Hostetler, M. L., Cifelli, J. A., Bai, S., & Hotez, E. (2022). Impact of the COVID-19 Pandemic on Parent, Child, and Family Functioning. Family Process, 61(1), 361–374. https://doi.org/10.1111/famp.12649

Gobierno de la Ciudad de México (2020). Gaceta Oficial de la Ciudad de México. No. 307. Órgano de Difusión del Gobierno de la Ciudad de México. Disponible en https://data.consejeria.cdmx.gob.mx/portal_old/uploads/gacetas/182dba042c9d9530ccac4e8d99f81f73.pdf

Hair, J. F., Black, W. C., Babin, B. J., Anderson, R. E., & Tatham, R. L. (2006). Multivariate data analysis (6a. ed.). New Jersey: Pearson

Janssen, L., Kullberg, M. J., Verkuil, B., van Zwieten, N., Wever, M., van Houtum, L., Wentholt, W., & Elzinga, B. M. (2020). Does the COVID-19 pandemic impact parents' and adolescents' well-being? An EMA-study on daily affect and parenting. PloS One, 15(10), e0240962. https://doi.org/10.1371/journal.pone.0240962

Korneta, P., & Rostek, K. (2021). The Impact of the SARS-CoV-19 Pandemic on the Global Gross Domestic Product. International Journal of Environmental Research and Public Health, 18(10), 5246. https://doi.org/10.3390/ijerph18105246

Kutsar, D., & Kurvet-Käosaar, L. (2021). The Impact of the COVID-19 Pandemic on Families: Young People's Experiences in Estonia. Frontiers in Sociology, 6, 732984. https://doi.org/10.3389/fsoc.2021.732984

Lloret-Segura, S., Ferreres-Traver, A., Hernández-Baeza, A., y Tomás-Marco, I. (2014). El análisis factorial exploratorio de los ítems: una guía práctica, revisada y actualizada. Anales de Psicología, 30(3), 1151-1169. https://doi.org/10.6018/analesps.30.3.199361

McDonald, R. P. (1999). Test theory: A unified treatment. Mahwah: Lawrence Erlbaum.

Nicola, M., Alsafi, Z., Sohrabi, C., Kerwan, A., Al-Jabir, A., Iosifidis, C., Agha, M., & Agha, R. (2020). The socio-economic implications of the coronavirus pandemic (COVID-19): A review. International Journal of Surgery, 78, 185–193. https://doi.org/10.1016/j.ijsu.2020.04.018

Orellana, C., y Orellana, L. (2020). Predictores de síntomas emocionales durante la cuarentena domiciliar por pandemia de COVID-19 en El Salvador. Actualidades en Psicología, 34(128), 103-120. https://doi.org/10.15517/ap.v34i128.41431

Prat-Santaolária, R., & Doval-Diéguez, E. (2003). Construcción y análisis de escalas. En: J. Lévy, & J. Varela (Coords.), Análisis multivariable para las Ciencias Sociales (pp. 43-89). Madrid: Pearson Prentice Hall.

Ruiz-Manriquez, J., León-Lara, X., Campos-Murguía, A., Solis-Ortega, A. A., Pérez-González, B., Uscanga, L. F., y Peláez-Luna, M. (2020). Conocimiento sobre la infección por SARS-CoV-2 de Gastroenterólogos y Endoscopistas de Latino América. Revista de Gastroenterologia de Mexico, 85(3), 288–294. https://doi.org/10.1016/j.rgmx.2020.04.003

Scarinci, I. C., Pandya, V. N., Kim, Y. I., Bae, S., Peral, S., Tipre, M., Hardy, C., Hansen, B., & Baskin, M. L. (2021). Factors Associated with Perceived Susceptibility to COVID-19 Among Urban and Rural Adults in Alabama. Journal of Community Health, 1–10. https://doi.org/10.1007/s10900-021-00976-3

Secretaria de Gobernación (2020, febrero). Diario Oficial de la Federación. DOF: 16/03/2020. Disponible en https://www.dof.gob.mx/nota_detalle.php?codigo=5589479&fecha=16/03/2020

Seligman, M.(2011). Florecer. La nueva psicología positiva y la búsqueda del bienestar. España: Océano.

Setia M. S. (2016). Methodology Series Module 5: Sampling Strategies. Indian Journal of Dermatology, 61(5), 505–509. https://doi.org/10.4103/0019-5154.190118

Soper, D.S. (2021). A-priori Sample Size Calculator for Structural Equation Models [Software]. Disponible en https://www.danielsoper.com/statcalc

Squires, J. E., Estabrooks, C. A., Newburn-Cook, C. V., & Gierl, M. (2011). Validation of the conceptual research utilization scale: an application of the standards for educational and psychological testing in healthcare. BMC Health Services Research, 11, 107. https://doi.org/10.1186/1472-6963-11-107

Szcześniak, D., Gładka, A., Misiak, B., Cyran, A., & Rymaszewska, J. (2021). The SARS-CoV-2 and mental health: From biological mechanisms to social consequences. Progress in Neuro-psychopharmacology & Biological Psychiatry, 104, 110046. https://doi.org/10.1016/j.pnpbp.2020.110046

Thomas, P. A., Liu, H., & Umberson, D. (2017). Family Relationships and Well-Being. Innovation in Aging, 1(3), igx025. https://doi.org/10.1093/geroni/igx025

Thomson, K. C., Jenkins, E., Gill, R., Richardson, C. G., Gagné-Petteni, M., McAuliffe, C., & Gadermann, A. M. (2021). Impacts of the COVID-19 Pandemic on Family Mental Health in Canada: Findings from a Multi-Round Cross-Sectional Study. International Journal of Environmental Research and Public Health, 18(22), 12080. https://doi.org/10.3390/ijerph182212080

Tseng, W.-T., Dörnyei, Z., & Schmitt, N. (2006). A New Approach to Assessing Strategic Learning: The Case of Self-Regulation in Vocabulary Acquisition. Applied Linguistics, 27(1), 78–102. https://doi.org/10.1093/applin/ami046

Venema, T., & Pfattheicher, S. (2021). Perceived susceptibility to COVID-19 infection and narcissistic traits. Personality and Individual Differences, 175, 110696. https://doi.org/10.1016/j.paid.2021.110696

Yunusa, I., Iloanusi, S., Mgbere, O., Iloanusi, N. R., Ajayi, A. I., & Essien, E. J. (2021). Public opinion regarding government response to COVID-19: case study of a large commercial city in Nigeria. The Pan African Medical Journal, 38, 282. https://doi.org/10.11604/pamj.2021.38.282.26361