Predicting panel attrition in longitudinal HRQoL surveys during the COVID-19 pandemic in the US

BACKGROUND: Online longitudinal surveys may be subject to potential biases due to sample attrition. This study was designed to identify potential predictors of attrition using a longitudinal panel survey collected during the COVID-19 pandemic. METHODS: Three waves of data were collected using Amazon...

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Detalles Bibliográficos
Autores principales: Yu, Tianzhou, Chen, Jiafan, Gu, Ning Yan, Hay, Joel W., Gong, Cynthia L.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9258760/
https://www.ncbi.nlm.nih.gov/pubmed/35794553
http://dx.doi.org/10.1186/s12955-022-02015-8

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9258760/
https://www.ncbi.nlm.nih.gov/pubmed/35794553
http://dx.doi.org/10.1186/s12955-022-02015-8

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