Developing psychometrically validated assessment tools to examine social and intergroup processes related to COVID-19 is fundamental for creating interventions that reduce the spread of this virus. Thus, this manuscript aimed to evaluate the psychometric properties of a new measure, Assessment of COVID-19 Attitudes and Behaviors (ACAB), that assesses COVID-19-related attitudes (e.g., about physical distancing, xenophobia), behaviors (e.g., helping others versus prioritizing own needs), and beliefs (e.g., about others’ roles in spreading COVID-19). We used exploratory and confirmatory factor analyses (EFA, CFA) to provide factor analytic support and Fisher's r-to-z transformation to provide construct validity evidence. EFA revealed and CFA confirmed a four-factor structure of social distancing adjustment, self-prioritization, prosocial behaviors, and belief in conspiracies. Fisher's r-to-z transformation provided evidence for the construct validity of the four factors. This psychometrically validated instrument will enhance social science researchers’ ability to accurately identify and explicate psychological processes related to COVID-19.

中文翻译：

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评估 COVID-19 态度和行为的心理测量学特性

开发经过心理测量验证的评估工具来检查与 COVID-19 相关的社会和群体间过程对于创建减少这种病毒传播的干预措施至关重要。因此，本手稿旨在评估一项新措施的心理测量特性，即评估 COVID-19 态度和行为 (ACAB)，该措施评估与 COVID-19 相关的态度（例如，关于身体距离、仇外心理）、行为（例如，帮助其他人与优先考虑自己的需求）和信念（例如，关于他人在传播 COVID-19 中的作用）。我们使用探索性和验证性因子分析（EFA、CFA）来提供因子分析支持和 Fisher 的r- to - z转换以提供结构效度证据。EFA 揭示和 CFA 确认了社会距离调整、自我优先、亲社会行为和对阴谋的信念的四因素结构。Fisher 的r到z转换为四个因素的结构效度提供了证据。这种经过心理测量验证的仪器将提高社会科学研究人员准确识别和解释与 COVID-19 相关的心理过程的能力。