School of Social Work and Arts, Charles Sturt University, Wagga Wagga, NSW, 2678, Australia.
School of Health and Biomedical Sciences, RMIT University, Bundoora, VIC, 3083, Australia.
BMC Psychol. 2023 Mar 29;11(1):85. doi: 10.1186/s40359-023-01093-7.
Social distancing rules have proven to be essential in reducing the spread of COVID-19. However, we can optimise these rules if we identify factors which predict compliance. Thus, in this study we investigated whether compliance with distancing rules is predicted by whether an individual is motivated by moral, self-interested, or social reasons. We also investigated the impact of an individual's utilitarian orientation both on compliance itself and on reasons for compliance.
Our sample consisted of 301 participants recruited from four US states - California, Oregon, Mississippi, and Alabama - who completed an anonymous online survey. Six vignettes describing hypothetical social distancing rules were developed for the study. Participants indicated (i) how likely they were to violate each hypothetical distancing rule, (ii) how morally wrong violating each rule would be, (iii) how much risk of contracting COVID-19 they would tolerate in order to violate each rule, and (iv) how much social condemnation they would tolerate in order to violate each rule. Based on these responses, we gauged each participant's overall degree of compliance with social distancing rules as well as the extent to which each participant's compliance is motivated by moral, self-interested, and social reasons. We also measured other variables that could affect compliance including personality, level of religiosity, and inclination to engage in utilitarian reasoning. Multiple regression and exploratory structural equation modelling were used to determine predictors of compliance with social distancing rules.
We found that moral, self-interested, and social motivation each positively predicted compliance, with self-interested motivation being the strongest predictor. Furthermore, utilitarian orientation indirectly predicted compliance, with moral, self-interested, and social motivation as positive mediating factors. No controlled covariates (personality factors, religiosity, political orientation, or other background variables) predicted compliance.
These findings have implications not only for the design of social distancing rules but also for efforts to ensure vaccine uptake. Governments need to consider how to harness moral, self-interested, and social motivation to promote compliance, perhaps by co-opting utilitarian reasoning, which positively influences these motivational forces.
社交距离规则已被证明对减少 COVID-19 的传播至关重要。然而,如果我们能够确定哪些因素可以预测遵守规则的情况,我们就可以对这些规则进行优化。因此,在这项研究中,我们调查了个人是否出于道德、自利或社会原因而遵守距离规则,这是否可以预测其遵守规则的情况。我们还研究了个人功利主义取向对遵守规则本身以及遵守规则的原因的影响。
我们的样本由来自美国四个州(加利福尼亚州、俄勒冈州、密西西比州和阿拉巴马州)的 301 名参与者组成,他们完成了一项匿名在线调查。为研究设计了六个描述假设社交距离规则的情景。参与者表示(i)他们违反每个假设的距离规则的可能性有多大,(ii)违反每个规则在道德上有多错误,(iii)他们愿意容忍感染 COVID-19 的多少风险来违反每个规则,以及(iv)他们愿意容忍多少社会谴责来违反每个规则。根据这些回答,我们衡量了每个参与者遵守社交距离规则的总体程度,以及每个参与者遵守规则的动机是出于道德、自利还是社会原因。我们还测量了可能影响遵守规则的其他变量,包括个性、宗教信仰程度和功利主义推理倾向。使用多元回归和探索性结构方程模型来确定与遵守社交距离规则相关的预测因素。
我们发现道德、自利和社会动机都与遵守规则呈正相关,其中自利动机是最强的预测因素。此外,功利主义取向间接预测了遵守规则的情况,道德、自利和社会动机是积极的中介因素。没有控制协变量(人格因素、宗教信仰、政治取向或其他背景变量)可以预测遵守规则的情况。
这些发现不仅对设计社交距离规则具有重要意义,而且对确保疫苗接种率也具有重要意义。政府需要考虑如何利用道德、自利和社会动机来促进遵守规则,也许可以借助功利主义推理,这对促进这些动机力量有积极影响。