Design and Evaluation of an Instrument to Measure Internet use During the COVID-19 Era
Abstract
In the context of the pandemic caused by the new SARS-CoV-2 coronavirus and the COVID-19 disease, the policies to contain and mitigate it consist of isolation and social distancing. As part of these strategies, internet use has been fundamental for telecommuting; however, measuring internet activity is an incipient field of research. The aim of this study is to design and evaluate an instrument to measure internet use during the COVID-19 era. For that purpose, a survey was conducted with 253 students from the Universidad Autónoma del Estado de México. To verify the validity of the content of the items included in the survey, a Delphi analysis was carried out; and, to verify the validity of the constructs, several statistics were calculated, e.g., Cronbach’s alpha, KMO, and chi-squared, among others. Finally, a confirmatory factor analysis confirmed the eight dimensions that had been previously identified in the literature: selectivity, compatibility, computability, accessibility, extensionality, cumulativeness, anxiety, and addiction. They explain 59% of the total variance that was found. Although these findings are applicable only to this sample, the results obtained in this study provide evidence of the psychometric properties of the instrument, which can be used to make comparisons with other contexts and samples.
References
Akin, A.; Iskender, M. (2011). Internet addiction and depression, anxiety and stress. International Online Journal of Educational Sciences, v. 3, n. 1, 138-148. https://iojes.net/?mod=tammetin&makaleadi=&makaleurl=IOJES_436.pdf&key=41313
Amadu, L.; Syed Muhammad, S.; Mohammed, A.; Owusu, G.; Lukman, S. (2018). Using technology acceptance model to measure the use of social media for collaborative learning in Ghana. Journal of Technology & Science Education, v. 8, n. 4, 321-336 https://doi.org/10.3926/jotse.383
Arribas, A.; Islas, O. (2009). Niños y jóvenes mexicanos en Internet. Razón y Palabra, n. 67. https://www.redalyc.org/pdf/1995/199520725008.pdf
Cabero Almenara, J. C.; Barrosso Osuna, J.; Llorente Cejudo, M. C. (2016). Technology acceptance model & realidad aumentada: estudio en desarrollo. Revista Lasallista, v. 13, n. 2, 18-26. https://doi.org/10.22507/rli.v13n2a2
Cañón Buitrago, S. C.; Castaño Castrillón, J. J.; Hoyos Monroy, D. C.; Jaramillo Hernández, J. C.; Leal Ríos, D. R.; Rincón Viveros, R.; Sánchez Preciado, E. A.; Ureña Calderón, L. S. (2016). Uso de Internet y su relación con la salud de estudiantes universitarios en la Ciudad de Manizales, (Caldas, Colombia), 2015-2016. Archivos de Medicina, v. 16, n. 2, 312-325. https://doi.org/10.30554/archmed.16.2.1735.2016
Carreón Guillén, J.; Hernández Valdés, J.; García Lirios, C. (2015). Contrastación de un modelo de ciberconsumo. Enseñanza e Investigación en Psicología, v. 20, n. 2, 218-226. https://www.redalyc.org/articulo.oa?id=29242799012
Cassany, D.; Hernández, D. (2012). ¿Internet: 1; escuela: 0? CPU-e, Revista de Investigación Educativa, v. 14, 126-141. http://www.uv.mx/cpue/num14/opinion/cassany_hernandez_internet_1_escuela_0.html
Cayla, J. A. (2009). Epidemias mediáticas: una reflexión para la salud pública. Gaceta Sanitaria, v. 23, n. 5, 362-364. https://doi.org/10.1016/j.gaceta.2009.09.002
Cervantes-López, M. J.; Peña-Maldonado, A. A.; Ramos-Sánchez, A. (2020). Use of information and communication technologies as a support tool for medical students' learning. CienciaUAT, v. 15, n. 1, 162-171. https://doi.org/10.29059/cienciauat.v15i1.1380
Colesca, S. E.; Dobrica, L. (2008). Adoption and use of e-government services: The case of Romania. Journal of Applied Research & Technology, v. 6, n. 3, 204-216. https://doi.org/10.22201/icat.16656423.2008.6.03.526
Colle, R. (2013). Prensa y Big data: el desafío de la acumulación y análisis de datos. Mediterránea, v. 4, n. 1, 1-8. https://doi.org/10.14198/MEDCOM2013.4.1.13
De la Cueva González-Cotera, J. (2012). Internet como entorno de la opinión pública: envolviendo los derechos fundamentales en derechos ordinarios. Revista Internacional de Pensamiento Político, v. 7, 93-115. https://upo.es/revistas/index.php/ripp/article/view/3682
Drozdova, A. V. (2020). The Dichotomy of Public/Private in the New Media Space. Changing Societies & Personalities, v. 4, n. 4, 441-456. http://doi.org/10.15826/csp.2020.4.4.110
Eddine Toudert, D. (2015). Brecha digital y perfiles de uso de las TIC en México: Un estudio exploratorio con microdatos. Culturales, v. 3, n. 1, 167-200. http://culturales.uabc.mx/index.php/Culturales/article/view/328
García Alonso, J. C. (2007). Hacia una web accesible. Acimed, v. 15, n. 5, 1-11. http://scielo.sld.cu/scielo.php?script=sci_arttext&pid=S1024-94352007000500006
Gard, R. (2018). Open data privacy and security policy issues and its influence on embracing the Internet of things. First Monday, v. 23, n. 5. https://doi.org/10.5210/fm.v22i5.8166
Garduño Vera, R. (2004). La sociedad de la información en México frente al uso de Internet. Revista Digital Universitaria, v. 5, n. 8, 1-13. http://www.revista.unam.mx/vol.5/num8/art50/art50.htm
Gravili, G.; Benvenuto, M.; Avram, A.; Viola, C. (2018). The influence of the Digital Divide on Big Data generation within supply chain management. The International Journal of Logistics Management, v. 29, n. 2, 592-628. https://doi.org/10.1108/IJLM-06-2017-0175
Gupta, A.; Garg, D.; Kumar, P. (2018). Analysis of Students’ Ratings of Teaching Quality to Understand the Role of Gender and Socio-economic Diversity in Higher Education. IEEE Transaction on Education, v. 61, n. 4. https://dx.doi.org/10.1109/TE.2018.2814599
Hu, L. T.; Bentler, P. M. (1999). Cutoff criteria for fit indexes in covariance structure analysis: Conventional criteria versus new alternatives. Structural Equation Modeling: A Multidisciplinary Journal, v. 6, n. 1, 1-55. http://doi.org/10.1080/10705519909540118
Instituto Nacional de Estadística, Geografía e Informática (2020). En México somos 126.014.024 habitantes: censo de población y vivienda 2020. https://www.inegi.org.mx/contenidos/saladeprensa/boletines/2021/EstSociodemo/ResultCenso2020_Nal.pdf
Jiang, Y.; Chen, D.; Lai, F. (2010). Technological personal environmental (TPE) framework: A conceptual model for technology acceptance at the individual level. Journal of International Technology & Information Management, v. 19, n. 3, 89-98. https://aquila.usm.edu/fac_pubs/16527/
Juarros, M. F. (2006). ¿Educación superior como derecho o como privilegio? Las políticas de admisión a la universidad en el contexto de los países de la región. Andamios, v. 3, n. 5, 69-90. https://doi.org/10.29092/uacm.v3i5.342
Juwita Siregar, J.; Aryanti Wardaya Puspokusumo, R. A.; Rahayu, A. (2017). Analysis of the affecting factors technology acceptance model in the application of knowledge management for small medium enterprises in industry creatives. Procedia Computer Science, v. 116, 500-508. https://doi.org/10.1016/j.procs.2017.10.075
King, D. (2016). Internet addictions. Cyberpsychology: Journal of Psychosocial Research on Cyberspace, v. 10, n. 3. https://doi.org/10.5817/CP2016-3-1
Kiss de Alejandro, D. M. (2006). Niveles de interacción en la comunicación de Internet. Ámbitos, n. 15, 45-57. https://revistascientificas.us.es/index.php/Ambitos/article/view/9616
Kleine, D. (2009). The ideology behind the technology–Chilean microentrepreneurs and public ICT policies. Geoforum, v. 40, n. 2, 171-183. https://doi.org/10.1016/j.geoforum.2008.02.006
Koul, S.; Eydgahi, A. (2018). Utilizing technology acceptance model for driverless car technology adoption. Journal Technology Management Innovation, v. 13, n. 4, 37-46. https://doi.org/10.4067/S0718-27242018000400037
Lai, P. C. (2017). The literature review of technology adoption models and theories for the novelty technology. Journal of Information System & Technology Management, v. 14, n. 1, 21-38. https://doi.org/10.4301/s1807-17752017000100002
Leal Güemez, R.; Porras Duarte, S. T. (2019). Desarrollo digital en México. Denarious, v. 37, 13-47. https://doi.org/10.24275/uam/izt/dcsh/denarius/v2019n37/Leal
Liao, S.; Hong, J.-C.; Wen, M.-H.; Pan, Y.-C.; Wu, Y. (2018). Applying technology acceptance model (TAM) to explore user´s behavioral intention to adopt a performance assessment system for e-book production. Journal of Mathematical Science & Technology Education, v. 14, n. 10, em1601. https://doi.org/10.29333/ejmste/93575
Mayor-Ríos, J. A.; Pacheco-Ortiz, D. M.; Patiño-Vanegas, J. C.; Ramos-y-Yovera, S. E. (2019). Análisis de la integración del Big Data en los programas de contaduría pública en universidades acreditadas en Colombia. Revista CEA, v. 5, n. 9, 53-76. https://doi.org/10.22430/24223182.1256
McClintock, C. H.; Lau, E.; Miller, L. (2016). Phenotypic Dimensions of Spirituality: Implications for Mental Health in China, India, and the United States. Frontiers in Psychology, v. 7. http://doi.org/10.3389/fpsyg.2016.01600
Mecinas Montiel, J. M. (2016). The digital divide in Mexico: A mirror of proverty. Mexican Law Review, v. 9, n. 1, 93-102. https://doi.org/10.1016/j.mexlaw.2016.09.005
Morales-Luna, G. (2011). Computabilidad y computación cuántica: Revisión de modelos alternativos de computación. Ingeniería Industrial, v. 10, n. 2, 49-53. http://revistas.ubiobio.cl/index.php/RI/article/view/42
Mubarak, F.; Nycyk, M. (2017). Teaching older people internet skills to minimize grey digital divides: Developed and developing countries in focus. Journal of Information, Communication and Ethics in Society, v. 15, n. 2, 165-178. https://doi.org/10.1108/JICES-06-2016-0022
Organización Mundial de la Salud (2021). Enfermedad por coronavirus (COVID-19). https://www.who.int/es
Ozamiz, N.; Dosil, M.; Picaza, M.; Idoiaga, N. (2020). Niveles de estrés, ansiedad y depresión en la primera fase del brote del Covid-19 en una muestra recogida en el norte de España. Cuadernos de Saude Publica, v. 36, n. 4, 1-9. https://doi.org/10.1590/0102-311X00054020
Park, S. Y. (2009). An analysis of the technology acceptance model in understanding university students’ behavioral intention to use e-learning. Educational Technology Society, v. 12, n. 3, 150-162. https://www.jstor.org/stable/pdf/jeductechsoci.12.3.150.pdf
Peláez Herreros, O. (2009). Descripción y proyección de la esperanza de vida al nacimiento en México (1900-2050). Estudios Demográficos y Urbanos, v. 24, n. 2, 469-492. https://doi.org/10.24201/edu.v24i2.1341
Peraza, J.; Quiñonez, Y.; Lizárraga, C.; Olivarría, M.; Estrada, R.; Ortega, J. (2017). Haciendo el internet accesible, un paso más hacia la universalidad de la información. Computación, Informático, Biomédica y Electrónica, v. 6, n. 1, 61-75. http://recibe.cucei.udg.mx/index.php/ReCIBE/article/view/65
Pifarré, M. J. (2013). Internet y redes sociales: un nuevo contexto para el delito. Internet, Derecho y Política, n. 16, 40-43. https://doi.org/10.7238/idp.v0i16.1985
Primabudi, A. M.; Samopa, F. (2017). Analysis of factor influencing purchase decision in online store. Case study: Game sales in online store. International Journal of Education & Research, v. 5, n. 7, 277-288. https://www.ijern.com/journal/2017/July-2017/20.pdf
Rey-Moreno, M.; Medina Molina, C. (2016). Social capital in e services adoption. Psychology & Marketing, v. 33, n. 12, 1151-1158. https://doi.org/10.1002/mar.20952
Sánchez-Carbonell, X.; Beranuy, M.; Castellana, M.; Chamarro, A.; Oberst, U. (2008). La adicción a Internet y el móvil: ¿moda o trastorno? Adicciones, v. 20, n. 2, 149-159. https://doi.org/10.20882/adicciones.279
Serrano Mascaraque, E. (2009). Accesibilidad versus usabilidad web: evaluación y correlación. Investigación Bibliotecológica, v. 23, n. 48, 61-103. https://doi.org/10.22201/iibi.0187358xp.2009.48.16970
Sevim, N.; Yüncü, D.; Eroğlu Hall, E. (2017). Analysis of the extend technology acceptance model in online travel products. Journal of Internet Applications and Management, v. 8, n. 2, 45-61. https://doi.org/10.5505/iuyd.2017.03522
Simonetto, A. (2012). Formative and reflective models: state of the art. Electronic Journal of Applied Statistical Analysis, v. 5, n. 3, 452-457. https://doi.org/10.1285/i20705948v5n3p452
Turan, A. H. (2012). Internet shopping behavior of Turkish customer: comparison of two competing models. Journal of Theoretical & Applied Electronic Commerce Research, v. 7, n. 1, 77-93. https://doi.org/10.4067/S0718-18762012000100007
Villa Zapata, A. M.; Ramírez Salazar, K. P.; Tavera Mesías, J. F. (2015). Antecedentes de la intención de uso de los sitios WEB de compras colectivas. Revista EIA, v. 12, n. 24, 55-70. https://doi.org/10.14508/reia.2015.12.24.55-70
Wamuyu, P. K. (2017). Bridging the digital divide among low income urban communities. Leveraging use of Community Technology Centers. Telematics and Informatics, v. 34, n. 8, 1709-1720. https://doi.org/10.1016/j.tele.2017.08.004
Yasa, N. N. K.; Ratnaningrum, L. P. R. A.; Sukaatmadja, P. G. (2014). The application of technology acceptance model on Internet banking users in the city of Denpasar. Journal management Dan, v. 16, n. 2, 93-102. https://doi.org/10.9744/jmk.16.2.93-102
Yuslihasri, E.; Aminul Islam, Md.; Ku Daud, K. A. (2011). Factors That Influence Customers Buying Intention On Shopping Online. International Journal of Marketing Studies, v. 3, n. 1, 128-143. https://doi.org/10.5539/ijms.v3n1p128
Zahid, H.; Haji Din, B. (2019). Determinants of intention to adopt e-government services in Pakistan: An imperative for sustainable development. Resources, v. 8, n. 3, 1-25. https://doi.org/10.3390/resources8030128
Zhang, S.; Li, F.; Xiao, J. J. (2020). Internet penetration and consumption inequality in China. International Journal of Consumer Studies, v. 44, n. 5, 407-422. https://doi.org/10.1111/ijcs.12575