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Activity Number: 169 - SPEED:Improving Survey Data Quality with Multiple Data Sources, Administrative Data, and Nonresponse Bias Control
Type: Contributed
Date/Time: Monday, July 29, 2019 : 10:30 AM to 12:20 PM
Sponsor: Survey Research Methods Section
Abstract #304619
Title: Nurse Effects on Nonresponse to Survey-Based Biomeasures
Author(s): Joseph Sakshaug* and Alexandru Cernat and Tarani Chandola and James Nazroo and Natalie Shlomo
Companies: Institute for Employment Research / University of Mannheim and University of Manchester and University of Manchester and University of Manchester and University of Manchester
Keywords: health surveys; physical measurements; nonresponse; weighting; multilevel models

Collecting biological data in large representative surveys is becoming more common due to their potential to inform research and policy. Nevertheless, the introduction of nurses in survey data collection can lead to unintended effects on response rates and non-response bias. In this paper, we investigate whether how nurses influence the non-response process by looking at five waves of data coming from two surveys in the UK: Understanding Society and the English Longitudinal Study of Ageing. We specifically look at three stages of possible non-response due to: 1) participation in the nurse visit, 2) consent to blood collection, and 3) whole blood sample collection. We find that nurses explain between 5 and 14 percent of the variance in non-response to biological data collection. We also find that older nurses are more successful in obtaining data from a nurse visit and those with more survey collection experience are more likely to be able to collect blood. Finally, we show that including the nurse characteristics in weighting models leads to modest changes in population estimates of biological markers.

Authors who are presenting talks have a * after their name.

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