SampcompR for response bias estimation is a tool that supports researchers in analyzing and documenting sample composition in survey data. It allows users to examine how well their realized sample reflects relevant population benchmarks and to identify potential sources of representation error. The tool provides practical functions to compute key sample composition indicators, visualize deviations from population distributions, and summarize findings in a transparent and reproducible way. All steps can be implemented directly in R, making it easy to integrate sample composition checks into standard data quality workflows.

Further information: This tool was developed as part of the KODAQS project, a partnership between GESIS, the University of Mannheim, and LMU Munich.