Journal article
P. Ho, K. Chen, A. Shao, L. Bao, A. Ai, A. Tarfa, D. Brossard, L. Brown, M. Brauer
Journal of Mixed Methods Research, vol. 15(3), 2021, pp. 374–397
Journal of Mixed Methods Research, vol. 15(3), 2021, pp. 374–397
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Cite
APA
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Ho, P., Chen, K., Shao, A., Bao, L., Ai, A., Tarfa, A., … Brauer, M. (2021). A mixed methods study of public perception of social distancing: integrating qualitative and computational analyses for text data. Journal of Mixed Methods Research, 15(3), 374–397. https://doi.org/10.1177/15586898211020862
Chicago/Turabian
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Ho, P., K. Chen, A. Shao, L. Bao, A. Ai, A. Tarfa, D. Brossard, L. Brown, and M. Brauer. “A Mixed Methods Study of Public Perception of Social Distancing: Integrating Qualitative and Computational Analyses for Text Data.” Journal of Mixed Methods Research 15, no. 3 (2021): 374–397.
MLA
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Ho, P., et al. “A Mixed Methods Study of Public Perception of Social Distancing: Integrating Qualitative and Computational Analyses for Text Data.” Journal of Mixed Methods Research, vol. 15, no. 3, 2021, pp. 374–97, doi:10.1177/15586898211020862.
BibTeX Click to copy
@article{ho2021a,
title = {A mixed methods study of public perception of social distancing: integrating qualitative and computational analyses for text data},
year = {2021},
issue = {3},
journal = {Journal of Mixed Methods Research},
pages = {374–397},
volume = {15},
doi = {10.1177/15586898211020862},
author = {Ho, P. and Chen, K. and Shao, A. and Bao, L. and Ai, A. and Tarfa, A. and Brossard, D. and Brown, L. and Brauer, M.}
}
Abstract
In a rapidly changing public health crisis such as COVID-19, researchers need innovative approaches that can effectively link qualitative approaches and computational methods. In this article, computational and qualitative methods are used to analyze survey data collected in March 2020 (n = 2,270) to explore the content of persuasive messages and their relationship with self-reported health behavior—that is, social distancing. Results suggest that persuasive messages, based on participants’ perspectives, vary by gender and race and are associated with self-reported health behavior. This article illustrates how qualitative analysis and structural topic modeling can be used in synergy in a public health study to understand the public’s perception and behavior related to science issues. Implications for health communication and future research are discussed.
