Validity testing of the conspiratorial thinking and anti-expert sentiment scales during the COVID-19 pandemic across 24 languages from a large-scale global dataset

被引:11
|
作者
Han, Hyemin [1 ]
Blackburn, Angelique M. [2 ]
Jeftic, Alma [3 ]
Tran, Thao Phuong [4 ]
Stoeckli, Sabrina [5 ]
Reifler, Jason [6 ]
Vestergren, Sara [7 ]
机构
[1] Univ Alabama, Educ Psychol Program, Tuscaloosa, AL 35487 USA
[2] Texas A&M Int Univ, Dept Psychol & Commun, Laredo, TX USA
[3] Int Christian Univ, Peace Res Inst, Tokyo, Japan
[4] Colorado State Univ, Dept Psychol, Ft Collins, CO 80523 USA
[5] Univ Bern, Dept Consumer Behav, Bern, Switzerland
[6] Univ Exeter, Dept Polit, Exeter, Devon, England
[7] Keele Univ, Sch Psychol, Keele, Staffs, England
关键词
Anti-expert sentiments; conspiratorial thinking; COVID-19; international survey; validation;
D O I
10.1017/S0950268822001443
中图分类号
R1 [预防医学、卫生学];
学科分类号
1004 ; 120402 ;
摘要
In this study, we tested the validity across two scales addressing conspiratorial thinking that may influence behaviours related to public health and the COVID-19 pandemic. Using the COVIDiSTRESSII Global Survey data from 12 261 participants, we validated the 4-item Conspiratorial Thinking Scale and 3-item Anti-Expert Sentiment Scale across 24 languages and dialects that were used by at least 100 participants per language. We employed confirmatory factor analysis, measurement invariance test and measurement alignment for internal consistency testing. To test convergent validity of the two scales, we assessed correlations with trust in seven agents related to government, science and public health. Although scalar invariance was not achieved when measurement invariance test was conducted initially, we found that both scales can be employed in further international studies with measurement alignment. Moreover, both conspiratorial thinking and anti-expert sentiments were significantly and negatively correlated with trust in all agents. Findings from this study provide supporting evidence for the validity of both scales across 24 languages for future large-scale international research.
引用
收藏
页数:7
相关论文
共 19 条