Examinando por Autor "Lavoie, Kim L."

Mostrando 1 - 2 de 2
  • Miniatura
    Artículo
    How well do covariates perform when adjusting for sampling bias in online COVID‑19 research? Insights from multiverse analyses
    (Springer Nature (Alemania; Reino Unido), 2022) Joyal Desmarais, Keven; Stojanovic, Jovana; Kennedy, Eric B.; Enticott, Joanne C.; Gosselin Boucher, Vincent; Vo, Hung; Košir, Urška; Lavoie, Kim L.; Bacon, Simon L.; Losada, Analía verónica; iCARE Study Team
    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 samplingbias. 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-19 prevention measures, vaccine intentions) across three time points and employed multiverse-style analyses to examine how 512 combinations of demographic covariates (e.g., sex, age, education, income, ethnicity) impacted sampling discrepancies on these outcomes. Signifcant discrepancies emerged between samples on 73% of outcomes. Participants in the convenience samples held more positive thoughts towards and engaged in more COVID-19 prevention behaviours. Covariates attenuated sampling diferences in only 55% of cases and increased diferences in 45%. No covariate performed reliably well. Our results suggest that online convenience samples may display more positive dispositions towards COVID-19 prevention behaviours being studied than would samples drawn using more representative means. Adjusting results for demographic covariates frequently increased rather than decreased bias, suggesting that researchers should be cautious when interpreting adjusted fndings. Using multiversestyle analyses as extended sensitivity analyses is recommended.
  • Miniatura
    Artículo
    Impact of biological sex and genderrelated factors on public engagement in protective health behaviours during the COVID-19 pandemic : cross-sectional analyses from a global survey
    (BMJ Publishing Group (Reino Unido), 2022) Dev, Rubee; Raparelli, Valeria; Bacon, Simon L.; Lavoie, Kim L.; Pilote, Louise; Norris, Colleen M.; Losada, Analía Verónica; iCARE Study Team; GOING-FWD Consortium
    Given the main objective of this study was to examine whether sex and gender-related factors were associated with the public’s adherence to COVID-19-recommended protective health behaviours. Design This was a retrospective analysis of the survey that captured data on people’s awareness, attitudes and behaviours as they relate to the COVID-19 policies. Setting Data from the International COVID-19 Awareness and Responses Evaluation survey collected between March 2020 and February 2021 from 175 countries. Participants Convenience sample around the world.