2019 Outstanding Service Award: Ineke Stoop
Ineke Stoop was head of the methodology department at the Netherlands Institute for Social Research (SCP) until her retirement in 2019. Her work and service to the survey/social sciences field is visible in various ways. She has taught courses on non-response, survey design and international comparative surveys, and has authored articles, chapters and books on these same topics. One of her most recent edited books (together with Johnson, Penell, and Dorer) focuses on important work on ‘Advances in Comparative Survey Methods: Multinational, Multiregional, and Multicultural Contexts’ (3MC). But she has not only been outstanding in her own contribution to knowledge, she has also inspired others to excel--being supportive to young researchers, stimulating their careers, transferring knowledge, and being a role model. Ineke really is a "grand dame" of survey methodology, very influential in many respects, and it is a big loss for the field that she is now retiring. Her dissertation, "The Hunt for the Last Respondent", was one of the most influential books about response and response bias, giving rise to the project on Representativity indicators (R-indicator) of various Statistical Institutes. She was one of the founders of the European Social Survey, and was much involved with it from the beginning until her retirement this year. As chair of the European Statistical Advisory Commission (ESAC) she exerted considerable influence on the quality of European statistics and survey data.
2019 Early Career Award: Felicitas Mittereder
Felicitas Mittereder from Facebook received the Early Career Award for her paper “Can We Predict Breakoff and Intervene Appropriately in Web Surveys?”
"This paper presents an innovative, complex, and elegant study with potentially valuable implications for many users of web surveys. The study addresses the problem of breakoff--i.e., survey respondents quitting a web survey partway through. Mittereder models the probability of breakoff by different kinds of respondents, using data from a large survey conducted on staff and students at the University of Michigan. She then uses the fitted model to predict the risk of breakoff, page-by-page, and randomly assigns half of the respondents to receive a reminder message encouraging them to continue the survey. She finds that even a very basic reminder can help to reduce breakoff, a finding which should give many of us added reason to make confident use of this simple, low-cost technique for increasing the value of our web surveys. The study is sophisticated and convincing in its methodology, and the paper is clear and succinct in its presentation and discussion.”
2019 SRM paper Award: The award for the best paper published in ESRA’s journal Survey Research Methods in 2017-2018 goes to Kazimierz M. Słomczyński (The Ohio State University, Polish Academy of Sciences), Przemek Powałko (Polish Academy of Sciences) and Tadeusz Krauze (Hofstra University). The winning paper, entitled “Non-unique Records in International Survey Projects: The Need for Extending Data Quality Control”, was published in SRM in 2017 (Volume 11). The paper makes an important contribution to the discussion on the impact of non-unique records on survey data quality. The paper is clearly written, relevant and original.