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.
- 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
Learn more about our consulting and services:
Tools and topic-specific harmonized data for your research project
Consulting on the harmonization of content elements and social-structural characteristics
Harmonizing and synthesizing partnership histories
A tool for harmonization and synthesis of couple biographical data.
Harmonizing substantive instruments
Consultation on harmonization of latent construct measurement instruments.
Imputation of Missing Values
We perform imputation of missing values for your complete data set or even selected variables
- Bluemke, Matthias. 2018. "Bachelor-Thesis-Gutachten (Uni Heidelberg)." Anzahl: 1.
- Schneider, Silke L.. 2018. "Research in Social Stratification and Mobility." Anzahl: 1.
- Schneider, Silke L.. 2017. "Research in Social Stratification and Mobility." Anzahl: 1.
- Schott, Malte, Pia Martin, and Matthias Bluemke. 2018. "Diskriminierung Türkisch-Stämmiger auf dem Kölner Wohnungsmarkt: Effektivität von Gegenmaßnahmen." Politische Psychologie - Journal of Political Psychology 6 (2): 311-331.
- Bluemke, Matthias, Daniel Danner, and Clemens Lechner. 2017. "Introduction to Data Analysis Using Mplus (Short Course B)."