Psychometric Properties of Risk Perception Scale about Covid-19 and Social Isolation (RPSCI)
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Abstract
Risk perception is a concept related to the decision-making process and allows people to perceive the hazards surrounding the context and choose the best preventive methods to avoid them. The COVID-19 pandemic was a remarkable era in which people had to adopt protective methods, such as social isolation, to reduce the possibility of being contaminated by the virus. This study covers the development, psychometric properties, and norms of a scale to assess Risk Perception regarding COVID-19 and Social Isolation. The analysis suggested good expert agreement regarding the adequacy of the scale content and items and factor analysis suggested two factors, called the emotional and cognitive domains. The composite reliability suggested the internal consistency of the scale and its factors. All the results of this study suggest that this scale presents evidence of construct validity, constituting a reliable instrument. This new instrument may be used to evaluate risk perception related to COVID-19 and Social Isolation.
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References
American Educational Research Association. American Psychological Association & National Council of Measurement in Education (2014). Standards for educational and psychological testing.
Bedford, J., Enria, D., Giesecke, J., Heymann, D. L., Ihekweazu, C., Kobinger, G., Clifford Lane, H., Memish, Z., Myoung-Don., Sall, A.A., Schuchat, A., & Wieler, L. H. (2020). COVID-19: towards controlling of a pandemic. The lancet, 395(10229), 1015-1018. https://doi.org/10.1016/S0140-6736(20)30673-5
Bertea, P. (2010). Scales for measuring perceived risk in E-Commerce-testing influences on reliability. Management & Marketing-Craiova, (1s), 81-92. https://www.ceeol.com/search/article-detail?id=206969
Cori, L., Bianchi, F., Cadum, E., & Anthonj, C. (2020). Risk perception and COVID-19. International Jornal of Environmental Research and Public Health. https://doi.org/10.3390/ijerph17093114
Damásio, B. F. (2012). Uso da análise fatorial exploratória em psicologia. Avaliação Psicológica: Interamerican Journal of Psychological Assessment, 11(2), 213-228.
Detoc, M., Bruel, S., Frappe, P., Tardy, B., Botelho-Nevers, E., & Gagneux-Brunon, A. (2020). Intention to participate in a COVID-19 vaccine clinical trial and to get vaccinated against COVID-19 in France during the pandemic. Vaccine, 38(45), 7002-7006. https://doi.org/10.1016/j.vaccine.2020.09.041
Dryhurst, S., Schneider, C. R., Kerr, J., Freeman, A. L., Recchia, G., Van Der Bles, A. M., ... & van der Linden, S. (2020). Risk perceptions of COVID-19 around the world. Journal of Risk Research, 23(7-8), 994-1006. https://doi.org/10.1080/13669877.2020.1758193
Ferrando, P.J., & Lorenzo-Seva, U. (2017). Program FACTOR at 10: origins, development and future directions. Psicothema, 29(2), 236-241. https://doi.org/10.7334/psicothema2016.304
Field, A. (2013). Discovering statistics using IBM SPSS statistics. Sage.
Fischer, M., Coogan, A. N., Faltraco, F., & Thome, J. (2020). COVID-19 paranoia in a patient suffering from schizophrenic psychosis–a case report. Psychiatry research, 288, 113001. https://doi.org/10.1016/j.psychres.2020.113001
Gagneux-Brunon, A., Detoc, M., Bruel, S., Tardy, B., Rozaire, O., Frappe, P., & Botelho-Nevers, E. (2021). Intention to get vaccinations against COVID-19 in French healthcare workers during the first pandemic wave: a cross-sectional survey. Journal of Hospital Infection, 108, 168-173. https://doi.org/10.1016/j.jhin.2020.11.020
Giordani, R.C., Giolo, S.R., da Silva, M.G., & Muhl, C. (2021). Percepção de risco do COVID-19: Suscetibilidade e gravidade percebidas pela população brasileira. Journal of Health Psychology, Article first published online: September 6, 2021. https://doi.org/10.1177/13591053211044536
Holland, J. (2020). Risk perceptions of health and safety in cruising. AIMS Geosciences, 6(4), 422-436. https://doi.org/10.3934/geosci.2020023
Hwang, T., Rabheru, K., Peisah, C., Reichman, W., & Ikeda, M. (2020). Loneliness and social isolation during the COVID-19 pandemic. International Psychogeriatrics, 32(10), 1217-1220. https://doi.org/10.1017/S1041610220000988
Karlsson, L. C., Soveri, A., Lewandowsky, S., Karlsson, L., Karlsson, H., Nolvi, S., Karukivi, M., Lindfelt, M., & Antfolk, J. (2021). Fearing the disease or the vaccine: The case of COVID-19. Personality and individual differences, 172, 110590. https://doi.org/10.1016/j.paid.2020.110590
Lifshitz, R., Nimrod, G., & Bachner, Y. G. (2016). Measuring Risk Perception in Later Life: The Perceived Risk Scale. Journal of the American Psychiatric Nurses Association, 22(6), 469–474. https://doi.org/10.1177/1078390316659910
Lorenzo-Seva, U., & Ferrando, P.J. (2019). Robust Promin: a method for diagonally weighted factor rotation. Technical report, URV. Tarragona, Spain. https://doi.org/10.24265/liberabit.2019.v25n1.08
McHugh, M. L. (2012). Interrater reliability: the kappa statistic. Biochemia medica, 22(3), 276-282.
Pacico, J. C., Hutz, C. S. Schneider, A. M. A., & Bandeira, D. R. (2015). Validade. Psicometria, 71-95
Paek, H. J., & Hove, T. (2017). Risk perceptions and risk characteristics. In Oxford research encyclopedia of communication. https://doi.org/10.1093/acrefore/9780190228613.013.283
Pasquali, L. (2014). Psicometria: teoria dos testes na psicologia e na educação. Editora Vozes Limitada.
Qiao, S., Li, Z., Liang, C., Li, X., & Rudisill, C. A. (2021). Risk perception of COVID-19 and its socioeconomic correlates in the United States: A social media analysis. medRxiv. https://doi.org/10.1101/2021.01.27.21250654
Qiao, S., Tam, C. C., & Li, X. (2020). Risk exposures, risk perceptions, negative attitudes toward general vaccination, and COVID-19 vaccine acceptance among college students in South Carolina. medRxiv. https://doi.org/10.1101/2020.11.26.20239483
Reckase, M. D. (1985). The difficulty of test items that measure more than one ability. Applied Psychological Measurement, 9, 401-412. https://doi.org/10.1177/014662168500900409
Shahin, M. A. H., & Hussien, R. M. (2020). Risk perception regarding the COVID-19 outbreak among the general population: a comparative Middle East survey. Middle East Current Psychiatry, 27(1), 1-19. https://doi.org/10.1186/s43045-020-00080-7
Shen, Z., Zhong, Z., Xie, J., Ding, S., Li, S., & Li, C. (2021). Development and psychometric assessment of the public health emergency risk perception scale: Under the outbreak of COVID-19. International journal of nursing sciences, 8(1), 87-94. https://doi.org/10.1016/j.ijnss.2020.12.012
Sternberg, Robert; Sternberg, Karin. (2017). Psicologia Cognitiva. São Paulo. CENGAGE.
Team, R. C. (2020). R: A language and environment for statistical computing.
Thaker, J. (2021). The persistence of vaccine hesitancy: COVID-19 vaccination intention in New Zealand. Journal of Health Communication, 26(2), 104-111. https://doi.org/10.1080/10810730.2021.1899346
Timmerman, M. E., & Lorenzo-Seva, U. (2011). Dimensionality Assessment of Ordered Polytomous Items with Parallel Analysis. Psychological Methods, 16, 209-220. https://doi.org/10.1037/a0023353
Travert, M., Maïano, C., & Griffet, J. (2017). Understanding injuries in sports: self-reported injury and perceived risk of injury among adolescents. European review of applied psychology, 67(6), 291-298. https://doi.org/10.1016/j.erap.2017.10.002
Valentini, F., & Damásio, B., F. (2016). Variância média extraída e confiabilidade composta: indicadores de precisão. Psicologia: teoria e pesquisa, 32(2). https://doi.org/10.1590/0102-3772e322225
Van der Linden, S. (2015). The social-psychological determinants of climate change risk perceptions: Towards a comprehensive model. Journal of Environmental Psychology, 41, 112-124. https://doi.org/10.1016/j.jenvp.2014.11.012
Wang, J., & Wang, X. (2019). Structural equation modeling: Applications using Mplus. John Wiley & Sons.
Yusoff, M. S. B. (2019). ABC of content validation and content validity index calculation. Education in Medicine Journal.11(2):49–54. https://doi.org/10.21315/eimj2019.11.2.
Zavaleta, Diego; Samuel, Kim; Mills, China T. (2017). Measures of Social Isolation. Social Indicators Research, 131(1), 367–391. https://doi.org/10.1007/s11205-016-1252-2
Zhan, L., Zeng, X., Morrison, A. M., Liang, H., & Coca-Stefaniak, J. A. (2020). A risk perception scale for travel to a crisis epicentre: Visiting Wuhan after COVID-19. Current Issues in Tourism, 1-18. https://doi.org/10.1080/13683500.2020.1857712