Development and validation of the Oxford Pandemic Attitude Scale-COVID-19 (OPAS-C): an internet-based cross-sectional study in the UK and USA

BMJ Open. 2021 Jul 14;11(7):e043758. doi: 10.1136/bmjopen-2020-043758.

Abstract

Objectives: To develop and validate the Oxford Pandemic Attitude Scale-COVID-19 (OPAS-C), a multidimensional scale that addresses seven domains over 20 items including stress, fear, loneliness, sense of community, belief that the pandemic is a hoax or exaggerated, the use of and attitude to non-pharmaceutical interventions and vaccine hesitancy, in a single measure.

Design: Cross-sectional validation study.

Setting: Internet based with respondents in the USA and UK.

Participants: General community respondents using the Prolific Academic platform.

Main outcome measures: Exploratory factor analyses with promax oblique rotation and confirmatory factor analysis including goodness of fit indices: root mean square error of approximation (RMSEA), standardised root mean square residual (SRMR) and comparative fit index (CFI). Reliability as internal consistency using Cronbach's alpha. Convergent and discriminant validity using Pearson correlation coefficients.

Results: The sample included 351 respondents in the USA and the factorial structure was confirmed using a separate set of 348 respondents in the UK. The OPAS-C had excellent goodness of fit characteristics, with an RMSEA of 0.047 (90% CI 0.037 to 0.056), SRMR of 0.043 and CFI of 0.962. Reliability was excellent, demonstrating Cronbach's alpha of 0.87 in both the US and UK samples. Convergent validity showed correlation coefficients of 0.54 and 0.49 in the US and UK samples, respectively. Discriminant validity demonstrated correlations of 0.21 and 0.26 in the US and UK samples, respectively.

Conclusions: The OPAS-C represents the first validated scale that addresses mental health measures and public health-relevant responses to COVID-19, and may be a useful measure for use in future longitudinal and cross-sectional studies. Further international validation beyond the USA and UK may be helpful.

Keywords: COVID-19; epidemiology; public health.

MeSH terms

  • COVID-19*
  • Cross-Sectional Studies
  • Factor Analysis, Statistical
  • Humans
  • Internet
  • Pandemics*
  • Psychometrics
  • Reproducibility of Results
  • SARS-CoV-2
  • Surveys and Questionnaires
  • United Kingdom