Why is Respondent Fatigue an Issue in Epidemiology?
In epidemiologic studies, especially large-scale surveys and longitudinal studies, the quality and completeness of data are paramount. Respondent fatigue can lead to non-response bias, where the opinions or characteristics of those who complete the survey differ from those who do not. This can skew results and affect the validity of the studyâs findings. Additionally, data collected under fatigue conditions may be less accurate, leading to misclassification or underreporting of important health outcomes.
