scholarly journals A flexible Bayesian generalized linear model for dichotomous response data with an application to text categorization

2007 ◽  
pp. 76-91 ◽  
Author(s):  
Susana Eyheramendy ◽  
David Madigan
Keyword(s):  
Linear Model ◽  
Generalized Linear Model ◽  
Text Categorization ◽  
Response Data ◽  
Bayesian Generalized Linear Model

scholarly journals Exploring the Association between Compliance with Measures to Prevent the Spread of COVID-19 and Big Five Traits with Bayesian Generalized Linear Model

2021 ◽  
Author(s):  
Hyemin Han
Keyword(s):  
Regression Model ◽  
Linear Model ◽  
Big Five ◽  
Generalized Linear Model ◽  
Regression Models ◽  
Large Scale ◽  
Negative Association ◽  
Data Driven ◽  
Big Five Traits ◽  
Bayesian Generalized Linear Model

Research has examined the association between people’s compliance with measures to prevent the spread of COVID-19 and personality traits. However, previous studies were conducted with relatively small-size datasets and employed frequentist analysis that does not allow data-driven model exploration. To address the limitations, a large-scale international dataset, COVIDiSTRESS Global Survey dataset, was explored with Bayesian generalized linear model that enables identification of the best regression model. The best regression models predicting participants’ compliance with Big Five traits were explored. The findings demonstrated first, all Big Five traits, except extroversion, were positively associated with compliance with general measures and distancing. Second, neuroticism, extroversion, and agreeableness were positively associated with the perceived cost of complying with the measures while conscientiousness showed negative association. The findings and the implications of the present study were discussed.

Sign in / Sign up

Export Citation Format

Share Document