Predicting Psychological Distress Amid the COVID-19 Pandemic by Machine Learning: Discrimination and Coping Mechanisms of Korean Immigrants in the U.S.

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dc.contributor.authorChoi, Shinwoo
dc.contributor.authorHong, Joo Young
dc.contributor.authorKim, Yong Je
dc.contributor.authorPark, Hyejoon
dc.date.accessioned2020-12-11T18:55:32Z
dc.date.available2020-12-11T18:55:32Z
dc.date.issued2020-08
dc.description.abstractThe current study examined the predictive ability of discrimination-related variables, coping mechanisms, and sociodemographic factors on the psychological distress level of Korean immigrants in the U.S. amid the COVID-19 pandemic. Korean immigrants (both foreign-born and U.S.-born) in the U.S. above the age of 18 were invited to participate in an online survey through purposive sampling. In order to verify the variables predicting the level of psychological distress on the final sample from 42 states (n = 790), the Artificial Neural Network (ANN) analysis, which is able to examine complex non-linear interactions among variables, was conducted. The most critical predicting variables in the neural network were a person’s resilience, experiences of everyday discrimination, and perception that racial discrimination toward Asians has increased in the U.S. since the beginning of the COVID-19 pandemic.
dc.description.departmentSocial Work
dc.formatText
dc.format.extent14 pages
dc.format.medium1 file (.pdf)
dc.identifier.citationChoi, S., Hong, J. Y., Kim, Y. J., & Park, H. (2020). Predicting psychological distress amid the COVID-19 pandemic by machine learning: Discrimination and coping mechanisms of Korean immigrants in the U.S. International Journal of Environmental Research and Public Health, 17(17), 6057.
dc.identifier.doihttps://doi.org/10.3390/ijerph17176057
dc.identifier.issn1660-4601
dc.identifier.urihttps://hdl.handle.net/10877/13065
dc.language.isoen
dc.publisherMultidisciplinary Digital Publishing Institute
dc.rights.holder© 2020 The Authors.
dc.rights.licenseThis work is licensed under a Creative Commons Attribution 4.0 International License.
dc.sourceInternational Journal of Environmental Research and Public Health, 2020, Vol. 17, No. 17, Article 6057.
dc.subjectracism
dc.subjectmental health
dc.subjectKorean immigrants
dc.subjectUnited States
dc.subjectartificial neural network
dc.subjectCOVID-19
dc.subjectSocial Work
dc.titlePredicting Psychological Distress Amid the COVID-19 Pandemic by Machine Learning: Discrimination and Coping Mechanisms of Korean Immigrants in the U.S.
dc.typeArticle

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