Selected article for: "logistic regression and low knowledge"
Author: Sylvester, Steven M.
Title: COVID‐19 and Motivated Reasoning: The Influence of Knowledge on COVID‐Related Policy and Health Behavior
  • Cord-id: 1zeni6zh
  • Document date: 2021_5_25
    • ID: 1zeni6zh
    Snippet: OBJECTIVE: The spread of misinformation about COVID‐19 severely influences the governments' ability to address the COVID‐19 pandemic. This study explores the predictors of accurate beliefs about COVID‐19 and its influence on COVID‐related policy and behavior. METHODS: Data from an original survey collected by Lucid in July 2020 are used. Ordinary Least Squares regression (OLS) is used to predict accurate beliefs about COVID‐19. Ordered logistic regression models are estimated to examin
    Document: OBJECTIVE: The spread of misinformation about COVID‐19 severely influences the governments' ability to address the COVID‐19 pandemic. This study explores the predictors of accurate beliefs about COVID‐19 and its influence on COVID‐related policy and behavior. METHODS: Data from an original survey collected by Lucid in July 2020 are used. Ordinary Least Squares regression (OLS) is used to predict accurate beliefs about COVID‐19. Ordered logistic regression models are estimated to examine the relationship between COVID‐19 knowledge, policy preferences, and health behavior intentions. RESULTS: Ideology and education were found to have a positive effect on knowledge about COVID‐19. Moreover, low levels of knowledge about COVID‐19 were found to reduce support for mandatory vaccination policy and willingness to get a coronavirus vaccine when available. CONCLUSION: These findings will help policymakers develop communication strategies for the public on the coronavirus vaccination.

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