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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...
Autores principales: | Yu, Tianzhou, Chen, Jiafan, Gu, Ning Yan, Hay, Joel W., Gong, Cynthia L. |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2022
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Materias: | |
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 |
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