Survey Methods Room Budapest
Overview
The main profile of the Survey Methods Room Budapest (SMRB) research group is the methodological foundation of empirical social science, and the future opportunities in survey data. This includes projects on sampling methods, weighting and data correction procedures and estimation strategies. We focus on probability and non-probability samples, survey experiments and new methods in survey data collections such as online surveys and hybrid technologies. The research group has interests in bringing survey methodology to machine learning. SMRB was established in 2022 and open to work with other academic units within and outside the university and seeking new collaborations.
Our main research methods are survey methods, probability theories, statistical modelling, simulation, mathematical-statistical analytical tools, and machine learning.
Grants
National Laboratory for Social Innovation
Blanka Szeitl: Survey research methods in a new technological and social environment II. (2023-2024)
Sylff Association – The Tokyo Foundation for Policy Research
Blanka Szeitl: New methods of survey data collections in empirical social sciences (2023)
National Laboratory for Social Innovation
Blanka Szeitl: Survey research methods in a new technological and social environment I. (2022)
Internal projects
Blanka Szeitl – Zita Fellner: The opportunity of Respondent-Driven Sampling to improve survey estimates - a case study on income distribution (2023-2024) intern: Hanka Lajos (survey statistics MSc)
Blanka Szeitl – Buda Jakab: Understanding survey nonresponse-bias by generating additional information based on GEO-codes and Machine Learning methods (2023-2024) intern: Tamás Mákos (survey statistics MSc)
Research group members
- Blanka SZEITL – head of Research Group, Department of Statistics, Faculty of Social Sciences, ELTE, Budapest, Hungary
- Zita FELLNER – senior researcher, Department of Statistics, Faculty of Social Sciences, ELTE, Budapest, Hungary
Keywords
empirical social science, data science, survey research, sampling methods, estimation strategy, survey error, biased data
Outputs
Messing, V., Ságvári, B., & Szeitl, B. (2022): Webre terelés a személyes lekérdezés alternatívája? : Egy „push-to-web” hibrid survey tapasztalata [Is "push-to-web" an alternative to face-to-face survey?: Experiences from a "push-to-web" hybrid survey in Hungary] Statisztikai Szemle, 100(3), 213-233.
https://doi.org/10.20311/stat2022.3.hu0213
Szeitl, B., & Rudas, T. (2022). Reducing variance with sample allocation based on expected response rates in stratified sample designs. Journal of Survey Statistics and Methodology, 10(4), 1107-1120.
https://doi.org/10.1093/jssam/smab021
Szeitl, B., & Tóth, I. Gy. (2021). Revisiting the ESS R8 sample a year after–Lessons from a re-contact survey to test patterns of unit non-response in Hungary. Survey Methods: Insights from the Field (SMIF). Retrieved from
https://surveyinsights.org/?p=14864
Szeitl, B., & Tóth, I. Gy. (2020). Hova tovább a nemválaszolókkal? A European Survey alapján végzett módszertani kísérlet eredménye [Where to go with the non-responders? Results of a methodological experiment based on the European Social Survey.] Szociológiai Szemle, 30(3), 96-114.
https://doi.org/10.51624/SzocSzemle.2020.3.5
Contact information (leader)
Blanka SZEITL (leader)
Department of Statistics
Faculty of Social Sciences, Eötvös Loránd University of Budapest (ELTE)
szeitl.blanka@tatk.elte.hu
Website
https://surveymethodsroom.hu/