In the field of survey statistics, we investigate different aspects of the quality of surveys. Sample design, in particular sample size and sample composition, have a direct impact on the representativeness of survey results. Unit nonresponse and item nonresponse pose further challenges to data quality. The research activities in the field of survey statistics therefore focus on problems and solutions associated with random sampling. These are also investigated in several third-party funded projects.
Our research on Survey Statistics
- Drawing procedures for complex sample designs
- Nonresponse (bias) analysis
- Weighting procedures for survey designs
- Imputation of missing values
- Variance estimation under complex sample designs and imputation of missing values
- Application of machine learning methods in survey statistics
- Friedel, Sabine, Barbara Felderer, Ulrich Krieger, Carina Cornesse, and Annelies Blom. 2023. "The Early Bird Catches the Worm! Setting a Deadline for Online Panel Recruitment Incentives." Social Science Computer Review 41 (2): 370-389. doi: https://doi.org/10.1177/08944393221096970.
- Bruch, Christian, and Barbara Felderer. 2022. "Prior Choice for the Variance Parameter in the Multilevel and Poststratification Approach for Highly Selective Data: A Monte Carlo Simulation Study." Austrian Journal of Statistics 51 (4): 76-95. doi: https://doi.org/10.17713/ajs.v51i4.1361.
- Daikeler, Jessica, Henning Silber, and Michael Bosnjak. 2022. "A meta-analysis of how country-level factors affect web survey response rates." International Journal of Market Research 64 (3): 306–333. doi: https://doi.org/10.1177/14707853211050916.
- Bruch, Christian, and Barbara Felderer. 2023. "Applying Multilevel Regression Weighting When Only Population Margins Are Available." Communications in Statistics - Simulation and Computation 2023 (52 (11)): 5401 - 5422. doi: https://doi.org/10.1080/03610918.2021.1988642.
- Gummer, Tobias, Ruben Bach, Jessica Daikeler, and Stephanie Eckman. 2021. "The Relationship Between Response Probabilities and Data Quality in Grid Questions." Survey Research Methods 15 (1): 65-77. doi: https://doi.org/10.18148/srm/2021.v15i1.7727.
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Find out more about our consulting and services:
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Data harmonization
Tools and topic-specific harmonized data for your research project
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Harmonisation
Consulting on the harmonization of content elements and social-structural characteristics
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Harmonizing and synthesizing partnership histories
A tool for harmonization and synthesis of couple biographical data.
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Harmonizing substantive instruments
Consultation on harmonization of latent construct measurement instruments.
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Imputation of Missing Values
We perform imputation of missing values for your complete data set or even selected variables
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