Predicting attitudinal and behavioral responses to COVID-19 pandemic using machine learning.

ABSTRACT: At the beginning of 2020, COVID-19 became a global problem. Despite all the efforts to emphasize the relevance of preventive measures, not everyone adhered to them. Thus, learning more about the characteristics determining attitudinal and behavioral responses to the pandemic is crucial to improving future interventions. In this study, we applied machine learning on the multinational data collected by the International Collaboration on the Social and Moral Psychology of COVID-19 (N = 51,404) to test the predictive efficacy of constructs from social, moral, cognitive, and personality psychology, as well as socio-demographic factors, in the attitudinal and behavioral responses to the pandemic. The results point to several valuable insights. Internalized moral identity provided the most

SUBMITTER: Pavlovic T 

PROVIDER: S-EPMC9381137 | biostudies-literature | 2022 Jul

REPOSITORIES: biostudies-literature