This paper presents the findings of a statistical analysis exploring the ways in which personally relevant cases of COVID-19 influence an individual's level of concern towards the virus. The analysis makes use of public opinion data collected throughout the pandemic by a market research company called Ipsos. This study conducts an OLS regression analysis using three different samples of data from three distinct periods of time during the pandemic. The paper addresses each component of the study's deductive approach, outlining everything from the initial hypothesis to the conclusions and broader implications. Ultimately, this study does show evidence that an individual's personal experience with COVID-19 influences their attitudes towards the virus. This is consistent with the findings of previous psychological research that has explored how personally salient information affects humans' attitudes and beliefs.
Nicklas, Timothy J.
"How Personally Relevant Cases of COVID-19 Influence Individuals’ Level of Concern towards the Virus,"
Penn Journal of Philosophy, Politics & Economics: Vol. 16
, Article 7.
Available at: https://repository.upenn.edu/spice/vol16/iss1/7
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