Family Forms Survey: Identifying Donor-Conceived Offspring, Donors, and Recipients in a National Panel

Rachel Arocho[*1], Elizabeth B. Lozano[2,3], Rebecca L. Hansen[1], Rhea Rehani[2], Abigail F. Thompson[1], Taylor G. Fleming[2], Elizabeth C. Cooksey[4]

1 Utah Valley University *corresponding author
2 University of Illinois at Urbana-Champaign
3 California Northstate University College of Health Sciences
4 CHRR at The Ohio State University


Complicated families, such as those created through gamete donation, deserve scientific study to best understand their experiences and develop evidence-based support. However, research on donor-conceived (DC) offspring has often been stymied by a lack of representative and general samples; samples in this area have often relied on clinical populations and biased means of sampling. Gamete donors have been similarly hard to find, and recipient parents have also often been recruited through self-selected groups. Additionally, given the rise of popular discussion around donor conception in media, greater understanding of public familiarity with DC issues is needed. Thus, our project had two …


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The effect of advance letters on survey participation: The case of Ireland and the European Social Survey

Daniel Capistrano, University College Dublin, Ireland
Mathew Creighton, University College Dublin, Ireland


This study examined the effects of advance letters on individual participation in the 2018 round of the European Social Survey in Ireland. As participation rates in household surveys have been in decline in many countries, understanding the impact of engagement strategies, such as prior contact, are crucial for fieldwork planning and overall quality of data collection. Based on a natural experiment, we assessed the likelihood of individuals to take part in the survey comparing those who have received an advance letter with those who did not receive it. Contrary to previous evidence on the effectiveness of prior contact, our results …


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Measurement Challenges in Designing and Conducting Surveys on Urban Population: Experience from Bangladesh Urban Health Surveys

Gustavo Angeles, Department of Maternal and Child Health, Gillings School of Global Public Health, University of North Carolina, USA
Karar Zunaid Ahsan, Public Health Leadership Program, Gillings School of Global Public Health, University of North Carolina, USA
Siân Louise Curtis, Department of Maternal and Child Health, Gillings School of Global Public Health, University of North Carolina, USA
John Spencer, MEASURE Evaluation, Carolina Population Center, University of North Carolina, USA
Peter Kim Streatfield, Health System and Population Studies Division (HSPSD), International Centre for Diarrhoeal Disease Research, Bangladesh (icddr,b), Dhaka, Bangladesh
Nitai Chakraborty, Department of Statistics, Biostatistics & Informatics, University of Dhaka, Dhaka, Bangladesh.
Paul Brodish, MEASURE Evaluation, Carolina Population Center, University of North Carolina, USA


Urban populations in low- and middle-income countries are diverse in their health profiles and socioeconomic characteristics, and intra-urban differentials in health are in many cases even larger than those between urban and rural areas. Most existing household sample surveys implemented globally cannot provide required information on health outcomes, health-related behaviors, and health infrastructure specific to cities in regular intervals, particularly for sub-populations within urban areas. In this paper, we discussed some of the challenges for designing and conducting household surveys in urban areas to capture key health outcomes and service utilization indicators. Based on our experience in implementing the 2006 …


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Revisiting the ESS R8 sample a year after – Lessons from a re-contact survey to test patterns of unit non-response in Hungary

Blanka Szeitl, Tárki Social Research Institute, Budapest & Department of Statistics, Eötvös Loránd University, Budapest, Hungary
István György Tóth, Tárki Social Research Institute, Budapest, Hungary


The phenomenon of declining response rates is a major challenge for empirical social research. Should the loss of response units be non-random, population estimates may become biased. A rising share of the “unreachable” may lead to an increased probability of non-randomness of the loss. Exploring the process is therefore crucial to understanding what can be expected of our achieved samples. In a recent study, we investigated patterns of response unit loss by conducting a lagged recontact survey based on the European Social Survey (ESS) Round 8. We found that before one arrives at a premature verdict of unreachability, it is …


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Respondent Understanding of Data Linkage Consent

Joseph W. Sakshaug, German Institute for Employment Research (IAB), Ludwig Maximilian University of Munich, and University of Mannheim, Germany
Alexandra Schmucker, German Institute for Employment Research (IAB), Germany
Frauke Kreuter, German Institute for Employment Research (IAB), University of Maryland, and Ludwig Maximilian University of Munich, Germany
Mick P. Couper, University of Michigan and University of Maryland, USA
Leonie Holtmann, Deutsche Bundesbank, Germany


Across survey organizations around the world, there is increasing pressure to augment survey data with administrative data. In many settings, obtaining informed consent from respondents is required before administrative data can be linked. A key question is whether respondents understand the linkage consent request and if consent is correlated with respondent understanding. In the present study, we investigate these issues in separate telephone and Web surveys, where respondents were presented with follow-up knowledge questions to assess their understanding of the linkage consent request. Overall, we find that understanding of the linkage request is relatively high among respondents who consent to …


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How does switching a Probability-Based Online Panel to a Smartphone-Optimized Design Affect Response Rates and Smartphone Use?

Barbara Felderer, GESIS-Leibniz Institute for the Social Sciences, Mannheim, Germany and University of Mannheim, Germany
Jessica M. E. Herzing, University of Bern, Switzerland and University of Mannheim, Germany
Christian Bruch, GESIS-Leibniz Institute for the Social Sciences, Mannheim, Germany and University of Mannheim, Germany
Ulrich Krieger, University of Mannheim, Germany
Annelies G. Blom, University of Mannheim, Germany


In recent years, an increasing number of online panel participants respond to surveys on smartphones. As a result, survey practitioners are faced with a difficult decision: Either they hold the questionnaire design constant over time and thus stay with the original desktop-optimized design; or they switch to a smartphone-optimized format and thus accommodate respondents who prefer participating on their smartphone. Even though this decision is all but trivial, little research thus far has been conducted on the effect of such an adjustment on panel members’ survey participation and device use. We report on the switch to a smartphone-optimized design in …


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Using Record Linkage to improve matching rates of subject-generated ID-codes – A practical example from a panel study in schools

Robert Lipp, Sven Stadtmüller, Andrea Giersiefen, Christina Wacker & Andreas Klocke, Frankfurt University of Applied Sciences, Germany


The paper uses data from the first three waves of the German study Health Behavior and Injuries in School Age (GUS) to demonstrate how a record linkage procedure can improve matching rates of subject-generated ID-codes (SGICs) in panel studies. This post-processing technique uses a fuzzy-string-merge to match IDs that do not fit perfectly but are very similar. Other time-constant variables in the dataset were used to verify the matches. With this technique, more than 5 percent of previously unmatched cases could be paired up.


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The Interviewer Performance Profile (IPP): A Paradata-Driven Tool for Monitoring and Managing Interviewer Performance

Heidi M. Guyer, RTI International, Research Triangle Park, NC, USA
Brady T. West, Survey Research Center, University of Michigan, Ann Arbor, MI, USA
Wen Chang, Survey Research Center, University of Michigan, Ann Arbor, MI, USA


Monitoring interviewer performance during data collection is essential for ensuring optimal performance at the interviewer level, thereby leading to improved data collection parameters in areas such as effort and efficiency. Paradata are widely utilized to enhance typical measures of performance, such as response rates, and provide a more nuanced view of interviewer performance characteristics. We describe a paradata tool developed to monitor interviewer performance in real time: the Interviewer Performance Profile (IPP). Daily data updates allow for ongoing monitoring to detect areas of performance concern as well as areas of improvement over time. Additionally, the flexible nature of the IPP …


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