1. Covid-19 Attitudes Data
- Author
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Kate Faasse, Matthew Schmolesky, Jon Grahe, Haneda R, Benitez I, Joseph McFall, Matteson A, Auman R, Fagan J, and Akers K
- Subjects
Text mining ,Coronavirus disease 2019 (COVID-19) ,Computer science ,business.industry ,business ,Data science - Abstract
Dr. Jon Grahe and the students of his 2020 Fall Semester class, Advanced Statistics and Research Methods at Pacific Lutheran University, three collaborators outside of the class, and three collaborators from other universities, collected data from online participants living in the United States (Nraw = 1019, Nprocessed = 821). Participants answered questions pertaining to various subjects related to the Novel Coronavirus-2019 pandemic including how closely they had been gathering information, their information sources, level of trust in various authorities, perceived risk, knowledge of COVID-19, avoidance behaviors, demographics, and COVID-19 exposure. The data are available here: https://osf.io/e8rzm/. These data could be used to examine psychological variables during a pandemic as well as provide a novel, real-world data set for students studying statistics and research methods.
- Published
- 2021
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