Exploring the association between compliance with measures to prevent the spread of COVID-19 and big five traits with Bayesian generalized linear model.
Exploring the association between compliance with measures to prevent the spread of COVID-19 and big five traits with Bayesian generalized linear model.
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DOI：
10.1016/j.paid.2021.110787
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发表时间：
2021-07
影响因子：
4.3
通讯作者：
Han H
中科院分区：
文献类型：
--
作者：
Han H
研究人员调查了人们遵守防止COVID-19传播的措施与人格特征之间的关系。然而，以前的研究是用相对较小的数据集进行的，并且采用了不允许数据驱动模型探索的频率论分析。为了解决这些局限性，使用贝叶斯广义线性模型对大规模国际数据集COVIDiSTRESS全球调查数据集进行了探索，该模型能够识别最佳回归模型。最好的回归模型预测参与者的遵守大五特质进行了探索。研究结果表明，除外向性外，所有大五人格特质都与一般测量和距离的依从性呈正相关。第二，神经质，外向性和宜人性与遵守措施的感知成本呈正相关，而谨慎性则呈负相关。最后，对研究结果和意义进行了讨论。
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.
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影响因子：
3.5
作者：
Lieberoth A;Lin SY;Stöckli S;Han H;Kowal M;Gelpi R;Chrona S;Tran TP;Jeftić A;Rasmussen J;Cakal H;Milfont TL;COVIDiSTRESS global survey consortium
通讯作者：
COVIDiSTRESS global survey consortium
影响因子：
1.7
作者：
Atalan, Abdulkadir
通讯作者：
Atalan, Abdulkadir
DOI：
10.1348/096317905x26183
发表时间：
2005-09-01
影响因子：
6.2
作者：
Clarke, S;Robertson, IT
通讯作者：
Robertson, IT
影响因子：
3.3
作者：
Hahn, Elisabeth;Gottschling, Juliana;Spinath, Frank M.
通讯作者：
Spinath, Frank M.
DOI：
10.1007/s11469-020-00352-7
发表时间：
2020-06-22
影响因子：
8
作者：
Abdelrahman, Mohamed
通讯作者：
Abdelrahman, Mohamed