Academic Scientific JournalsEpidemics among perceived impacts on Latvia before and during COVID-19: emerging threats versus stability
Keywords:
perceived impact, threats, personal control, COVID-19Abstract
Background
In the time of global challenges, perception of the ongoing change at different levels of social systems modulates individual expectations, decisions, and emotional health. A previous study in Latvia revealed that perceived threats, globalization, political power, and personal control form the latent structure of perceived impacts on the country. The present study assessed the stability of this structure, comparing a relatively favorable situation and the situation of the COVID-19 emergency in Latvia.
Participants and procedure
Two successive independent samples included 254 and 171 university students in 2019 and 2020, respectively. Participants assessed the impact of 15 factors on Latvia: personal impact, parents and relatives, friends, people of Latvia, political parties and leaders, Saeima (the parliament of Latvia), the government of Latvia, the European Union, the United States, other countries, global economic crises, war and military conflicts, terrorism, epidemics, and natural disasters.
Results
A series of confirmatory factor analyses established partial invariance of the model. During the COVID-19 emergency, a significant shift in the perceived impact of epidemics, natural disasters, and global economic crises combined with the relative stability of personal, meso-, and macrolevel factors.
Conclusions
This stability indicates possible resources for balancing perceived threats in the situation of successful coping with COVID-19 in Latvia in Spring 2020.
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References
Boehnke, K., Schwartz, S., Stromberg, C., & Sagiv, L. (1998). The structure and dynamics of worry: Theory, measurement, and cross-national replications. Journal of Personality, 66, 745–782. https:// doi.org/10.1111/1467-6494.00031.
Bronfenbrenner, U. (1979). The ecology of human development: Experiments by nature and design. Harvard University Press. Bronfenbrenner, U., & Morris, P. A. (2006). The bioecological model of human development. In W. Damon & R. M. Lerner (Eds.), Handbook of child psychology: Vol. 1. Theoretical models of human development (pp. 793–828). Wiley.
Cerami, C., Santi, G. C., Galandra, C., Dodich, A., Cappa, S., Vecchi, T., & Crespi, C. (2020). Covid-19 outbreak in Italy: Are we ready for the psychosocial and the economic crisis? Baseline findings from the PsyCovid Study. Frontiers in Psychiatry, 11, 556. https://doi.org/10.3389/fpsyt.2020.00556.
Chen, F. F. (2007). Sensitivity of goodness of fit indexes to lack of measurement invariance. Structural Equation Modeling, 14, 464–504. https:// doi.org/10.1080/10705510701301834.
Cheung, G. W., & Rensvold, R. B. (2002). Evaluating goodness-of-fit indexes for testing measurement invariance. Structural Equation Modeling, 9, 233–255. https://doi.org/10.1207/S15328007SEM0902_5.
Chzhen, Y. (2016). Perceptions of the economic crisis in Europe: Do adults in households with children feel a greater impact? Social Indicators Research, 127, 341–360. https://doi.org/10.1007/s11205-015-0956-z.
Der-Karabetian, A., Cao, Y., & Alfaro, M. (2014). Sustainable behavior, perceived globalization impact, world-mindedness, identity, and perceived risk in college samples from the United States, China, and Taiwan. Ecopsychology, 6, 218–223. https://doi.org/10.1089/eco.2014.0035.
European Centre for Disease Prevention and Control (ECDC) (2020). Communicable disease threats report. Week 22, 24–30 May 2020. Retrieved from https://www.ecdc.europa.eu/sites/default/files/ documents/Communicable-disease-threats-report-30-may-2020.pdf Eurostat (2020, July 8).
Mean and median income by household type – EU-SILC and ECHP surveys. Retrieved from https://appsso.eurostat.ec.europa.eu/ nui/show.do?dataset=ilc_di04&lang=en.
Fjäder, C. (2014). The nation-state, national security and resilience in the age of globalisation. Resilience, 2, 114–129. https://doi.org/10.1080/21693293.2014.914771.
Fritsche, I., Jonas, E., & Frankhänel, T. (2008). The role of control motivation in mortality salience effects on in-group support and defense. Journal of Personality and Social Psychology, 95, 524–541. https://doi.org/10.1037/a0012666.
Fung, H. H., & Carstensen L. L. (2006). Goals change when life’s fragility is primed: Lessons learned from older adults, the September 11 attacks and SARS. Social Cognition, 24, 248–278. https:// doi.org/10.1521/soco.2006.24.3.248.
Heckhausen, J., & Buchmann, M. (2019). A multidisciplinary model of life-course canalization and agency. Advances in Life Course Research, 41, article 100246. https://doi.org/10.1016/j.alcr.2018.09.002.
Heckhausen, J., Wrosch, C., & Schulz, R. (2010). A motivational theory of life-span development. Psychological Review, 117, 32–60. https://doi.org/10.1037/ a0017668.
Holman, E. A., & Silver, R. C. (2005). Future-oriented thinking and adjustment in a nationwide longitudinal study following the September 11th terrorist attacks. Motivation & Emotion, 29, 385–410. https://doi.org/10.1007/s11031-006-9018-9.
Holmes, E. A., O’Connor, R. C., Perry, V. H., Tracey, I., Wessely, S., Arseneault, L., Ballard, C., Christensen, H., Silver, R. C., Everall, I., Ford, T., John, A., Kabir, T., King, K., Madan, I., Michie, S., Przybylski, A. K., Shafran, R., Sweeney, A. … Bullmore, E. (2020). Multidisciplinary research priorities for the COVID-19 pandemic: a call for action for mental health science. Lancet Psychiatry, 7, 547–560. https://doi.org/10.1016/S2215-0366(20)30168-1.
Hu, L., & Bentler, P. M. (1999). Cutoff criteria for fit indexes in covariance structure analysis: Conventional criteria versus new alternatives. Structural Equation Modeling, 6, 1−55. https:// doi.org/10.1080/10705519909540118.
Jiang, G., Mai, Y., & Yuan, K. H. (2017). Advances in measurement invariance and mean comparison of latent variables: Equivalence testing and a projection-based approach. Frontiers in Psychology, 8, 1823. https://doi.org/10.3389/fpsyg.2017.01823.
Kasapoğlu, A., Turan, F., & Dönmez, A. (2009). Impacts of disasters: Comparisons of several worries in Turkey. Stress and Health, 25, 63–70. https:// doi.org/10.1002/smi.1216.
Kline, R. B. (2011). Principles and practice of structural equation modeling (3rd ed.). Guilford Press. Kolesovs, A. (2015). Anticipated macro-context before and during an economic crisis: a person-oriented approach. Baltic Journal of Psychology, 2015, 16, 127–140.
Kolesovs, A., & Kashirsky, D. V. (2014). Anticipated future of Latvia and Russia during a global economic crisis: a mixed methods perspective. Psihologija, 47, 153–167. https://doi.org/10.2298/PSI1402153.K
Kolesovs, A., & Ruza, A. (2019). Global, macro, and personal impacts on Latvia: a latent structure of perceived control. E-psychologie, 13, 13–22. https:// doi.org/10.29364/epsy.356.
Ministry of Defense of the Republic of Latvia, & SKDS (2015). Latvijas iedzīvotāju viedoklis par valsts aizsardzības jautājumiem [The public opinion of the people of Latvia on defense issues]. Retrieved from http://petijumi.mk.gov.lv/sites/default/files/title_ file/petijumus_2015_gada_latvijas_valsts_iedzivotaju_viedoklis_par_aizsardzibas_jautajumiem.pdf.
Nurmi, J. E. (2004). Socialization and self-development: Channeling, selection, adjustment, and reflection. In R. M. Lerner & L. Steinberg (Eds.), Handbook of adolescent psychology (pp. 85–124). Wiley.
Pinquart, M., & Silbereisen, R. K. (2004). Human development in times of social change: Theoretical considerations and research needs. International Journal of Behavioral Development, 28, 289–298. https:// doi.org/10.1080/01650250344000406.
Postelnicescu, C. (2016). Europe’s new identity: The refugee crisis and the rise of nationalism. Europe’s Journal of Psychology, 12, 203–209. https:// doi.org/10.5964/ejop.v12i2.1191.
Putnick, D. L., & Bornstein, M. H. (2016). Measurement invariance conventions and reporting: The state of the art and future directions for psychological research. Developmental Review, 41, 71–90. https://doi.org/10.1016/j.dr.2016.06.004.
Rasnača, Z. (2020). COVID-19 and labour law: Latvia. Italian Labour Law e-Journal, 13. https:// doi.org/10.6092/issn.1561-8048/10958.
Rosseel, Y. (2012). lavaan: An R package for structural equation modeling. Journal of Statistical Software, 48, 1–36. https://doi.org/10.18637/jss.v048.i02.
Ruza, A., Ruza, I., Rascevskis, V., Vorobjovs, A., & Murasovs, V. (2016). Safety and security in the EU: Perception of Latvian residents. Journal of Security and Sustainability Issues, 5, 365–375. https:// doi.org/10.9770/jssi.2016.5.3(5).
Seginer, R. (2008). Future orientation in times of threat and challenge: How resilient adolescents construct their future. International Journal of Behavioral Development, 32, 278–282. https:// doi.org/10.1177/0165025408090970.
Soper, D. S. (2020). A-priori sample size calculator for structural equation models [Software]. Retrieved from http://www.danielsoper.com/statcalc/calculator.aspx?id=89.
Stein, C. H., Abraham, K. M., Bonar, E. E., Leith, J. E., Kraus, S. W., Hamill, A. C., Gumber, S., Hoffmann, E., & Fogo, W. R. (2011). Family ties in tough times: How young adults and their parents view the U.S. economic crisis. Journal of Family Psychology, 25, 449–454. https://doi.org/10.1037/a0023697.
Steyn, M., Badenhorst, J., & Kamper, G. (2010). Our voice counts: Adolescents’ view on their future in South Africa. South African Journal of Education, 30, 169–188. https://doi.org/10.15700/saje.v30n2a337.
Tomasik, M. J., Silbereisen, R. K., & Heckhausen, J. (2010). Is it adaptive to disengage from demands of social change? Adjustment to developmental barriers in opportunity-deprived regions. Motivation and Emotion, 34, 384–398. https:// doi.org/10.1007/s11031-010-9177-6.
Trommsdorff, G. (2000). Effects of social change on individual development: The role of social and personal factors and the timing of events. In L. J. Crockett & R. K. Silbereisen (Eds.), Negotiating adolescence in times of social change (pp. 58–68). Cambridge University Press.
Tull, M. T., Edmonds, K. A., Scamaldo, K. M., Richmond, J. R., Rose, J. P., & Gratz, K. L. (2020). Psychological outcomes associated with stay-at-home orders and the perceived impact of COVID-19 on daily life. Psychiatry Research, 289, 113098. https:// doi.org/10.1016/j.psychres.2020.113098.
Westland, J. C. (2010). Lower bounds on sample size in structural equation modeling. Electronic Commerce Research and Applications, 9, 476–487. https:// doi.org/10.1016/j.elerap.2010.07.003.
Yuan, K. H., & Chan, W. (2016). Measurement invariance via multigroup SEM: Issues and solutions with chi-square-difference tests. Psychological Methods, 21, 405–426. https://doi.org/10.1037/met0000080.
