Do supplemental list frames for subpopulations increase subpopulation sampling efficiency? Evidence from the National Household Food Acquisition and Purchase Survey

Shiyu Zhang, Survey Research Center, Institute for Social Research, University of Michigan-Ann Arbor, Michigan, USA
John A. Kirlin, Kirlin Analytic Services, Fredericksburg, VA, USA
Elina T. Page, Economic Research Service, United States Department of Agriculture, Washington, DC, USA
Xingyou Zhang, U.S. Bureau of Labor Statistics, Washington, DC, USA
Brady T. West, Survey Research Center, Institute for Social Research, University of Michigan-Ann Arbor, Michigan, USA


Multiple-frame sampling has been regarded as a device for increasing efficiency in identifying small subpopulations. However, there has been a lack of empirical evidence in supporting the efficiency of the multiple-frame approach and in guiding best practices. The current study focuses on a special scenario in which two frames were used to recruit sample members. Using paradata from the U.S. National Household Food Acquisition and Purchase Survey (FoodAPS), the current analysis focuses on recruiting households that received Supplementary Nutrition Assistance Program (SNAP) as a sub-goal of the survey sampling. SNAP households account for around one-fifth of the general U.S. population, …


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Assessing Nonresponse Bias by Permitting Individuals to Opt Out of a Survey

Taylor Lewis, Research Triangle Institute (RTI) International, Washington, DC, USA


The Federal Employee Viewpoint Survey (FEVS) is a Web-based organizational climate survey administered annually by the U.S. Office of Personnel Management. The survey targets full- or part-time, permanently employed civilian personnel from more than 80 U.S. government agencies. Despite increases in the scope, publicity, and uses of FEVS data, its response rate has gradually declined over time. In an effort to gauge the causes for nonresponse, this paper discusses results from an experiment fielded during the 2017 FEVS in which a portion of sampled individuals was given the opportunity to opt out from the survey. Before effectively being added to …


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The Impact of Nurse Continuity on Biosocial Survey Participation

Alexandru Cernat, University of Manchester, United Kingdom
Joseph W. Sakshaug, Institute for Employment Research, Germany; Ludwig Maximilian University of Munich, Germany; and University of Mannheim, Germany


Biological measurements (or biomeasures) are increasingly being collected in large longitudinal biosocial surveys, enabling researchers to exploit the advantages of social science data with objective health measures to better understand how health and social behaviour interact over time. However, not all survey respondents are willing to take part in the biomeasure component of biosocial surveys, even when the measures are administered by certified medical professionals, such as nurses. Thus, understanding factors which affect participation in biomeasure collection is essential for making valid biosocial inferences about the population. Previous research has shown that interviewer continuity can be useful for optimizing longitudinal …


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Fieldwork Monitoring Strategies for Interviewer-Administered Surveys Special issue

Katharina Meitinger, Utrecht University, The Netherlands
Daniela Ackermann-Piek, GESIS – Leibniz Institute for the Social Sciences, Germany
Michael Blohm, GESIS – Leibniz Institute for the Social Sciences, Germany
Brad Edwards, Westat, United States
Tobias Gummer, GESIS – Leibniz Institute for the Social Sciences, Germany
Henning Silber, GESIS – Leibniz Institute for the Social Sciences, Germany



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Using Geospatial Data to Monitor and Optimize Face-to-Face Fieldwork Special issue

Ina Bieber, Johannes N. Blumenberg, Manuela S. Blumenberg & Michael Blohm, GESIS Leibniz Institute for the Social Sciences, Mannheim, Germany


Interviewers occupy a key position in face-to-face interviews. Their behavior decisively contributes to the quality of surveys. However, monitoring interviewers in face-to-face surveys is much more challenging than in telephone surveys. It is often up to the interviewer when they conduct the interviews and which addresses they work on first. Nevertheless, homogeneous fieldwork, i.e. that which has a geographically similar processing status, is particularly essential for time- and event-dependent studies such as election studies. Irregular fieldwork combined with geographical differences can have substantial impacts on data quality. Using the example of the German Longitudinal Election Study (GLES), we propose and …


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Developments in fieldwork procedures and monitoring in longitudinal surveys: case prioritisation and electronic contact sheets on the UK Millennium Cohort Study Special issue

Lisa Calderwood (1), Lucy Haselden (1), Vilma Agalioti-Sgompou (1), Andrew Cleary (2), Nickie Rose (2), Claire Bhaumik (2) and James Thom (2)
(1) Centre for Longitudinal Studies, UCL Institute of Education.
(2) Ipsos MORI Social Research Institute


Maximising response is important in any survey and especially so in a longitudinal survey where non-response at a particular wave contributes to attrition. A key element of response maximisation in face-to-face surveys is the adoption and implementation of thorough fieldwork procedures. The introduction of electronic sample management systems has provided more timely and accurate para-data with which to monitor interviewers’ compliance with fieldwork procedures. One of the major advantages of longitudinal surveys is that they are able to make use of prior wave data in order to identify cases at highest risk of non-response and thereby target appropriate fieldwork interventions …


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Using field monitoring strategies to improve panel sample representativeness: Application during data collection in the Survey of Health, Ageing and Retirement in Europe (SHARE) Special issue

Michael Bergmann & Annette Scherpenzeel, Technical University of Munich (Chair for the Economics of Aging), Munich Center for the Economics of Aging (MEA), Max Planck Institute for Social Law and Social Policy, Munich, Germany


The Survey of Health, Ageing and Retirement in Europe (SHARE) is a multidisciplinary and cross-national face-to-face panel study of the process of population ageing. For the sixth wave of data collection, we applied an adaptive/responsive fieldwork design in the German sub-study of SHARE to test actual possibilities and effects of implementing targeted monitoring strategies during fieldwork. The central aim of this design was to improve panel sample representativeness by attempting to achieve more equal response probabilities across subgroups. However, our findings show that we only partly met this goal. Although our adaptive design (interviewer bonus incentives for 80+ respondents) indicated …


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Converting Nonrespondents in PIAAC Germany 2012 Using Responsive Measures Special issue

Silke Martin, GESIS – Leibniz Institute for the Social Sciences, Mannheim, Germany
Anouk Zabal, GESIS – Leibniz Institute for the Social Sciences, Mannheim, Germany


Using paradata to modify design features during fieldwork is the earmark of responsive designs (Groves & Heeringa, 2006). One objective of responsive approaches is to improve the composition of the final sample by gaining the participation of nonrespondents. A simple but innovative attempt at realizing such a response intervention was undertaken during the fieldwork of PIAAC Germany 2012. Different groups of nonrespondents were identified for follow-up efforts. With a view to the outcome measures of PIAAC, basic skills of the adult population, two groups were focused: Non-nationals and sample persons with low educational attainment. To identify these groups, different sources …


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