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

Abstract 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...

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Bibliographic Details
Main Authors: Tianzhou Yu, Jiafan Chen, Ning Yan Gu, Joel W. Hay, Cynthia L. Gong
Format: Article
Language:English
Published: BMC 2022-07-01
Series:Health and Quality of Life Outcomes
Subjects:
Online Access:https://doi.org/10.1186/s12955-022-02015-8