How well do covariates perform when adjusting for sampling bias in online COVID-19 research? Insights from multiverse analyses.

ABSTRACT: COVID-19 research has relied heavily on convenience-based samples, which-though often necessary-are susceptible to important sampling biases. We begin with a theoretical overview and introduction to the dynamics that underlie sampling bias. We then empirically examine sampling bias in online COVID-19 surveys and evaluate the degree to which common statistical adjustments for demographic covariates successfully attenuate such bias. This registered study analysed responses to identical questions from three convenience and three largely representative samples (total N = 13,731) collected online in Canada within the International COVID-19 Awareness and Responses Evaluation Study ( www.icarestudy.com ). We compared samples on 11 behavioural and psychological outcomes (e.g., adherence to COVID-1

SUBMITTER: Joyal-Desmarais K 

PROVIDER: S-EPMC9638233 | biostudies-literature | 2022 Dec

REPOSITORIES: biostudies-literature