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.
Research topics are in particular:
- 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
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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
Beratung zur Harmonisierung von Instrumenten zur Messung latenter Konstrukte
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Imputation of Missing Values
We perform imputation of missing values for your complete data set or even selected variables
- Ortmanns, Verena, Silke L. Schneider, Roberto Briceno-Rosas, and Jessica Herzing. 2017. "Die Messung von Bildung bei Migrantinnen und Migranten der ersten Generation: ein neues adaptives Instrument für Umfragen." IMIRA Workshop, 2017-11-09.
- Schneider, Silke L.. 2018. "Education in OECD’s PIAAC Study: How Well Do Different Harmonized Measures Predict Skills?" mda : methods, data, analyses 12 (1).
- Schimpl-Neimanns, Bernhard. 2017. "Estimation of standard error for estimators of net change – by taking the example of LFS-data from Austria." GESIS Training Course on EU-LFS, 2017-11-27.
- Ponomarenko, Valentina. 2017. "Part II: Computer Lab Session – Basic Topics: Methodical issues: Cross-national comparison (Multi-level analysis I)."
- Ponomarenko, Valentina. 2017. "Part II: Computer Lab Session – Basic Topics: Substantive issues: e.g. Non-standard Employment."