Transparency and reproducibility are key elements of good science, and this also holds for the process of data collection in scientific surveys. To conduct analyses based on survey data collected by others, researchers heavily depend on accurate documentation of all stages in the data collection process, either for generating new scientific evidence or for reviewing previous research findings (e.g., in replication studies). In this contribution, we propose documentation guidelines for mail surveys. In doing this, we not only focus on mail-only surveys but also cover documentation guidelines for self-administered mixed-mode surveys, thus taking into account their growing importance in the survey landscape.
Sven Stadtmüller and Beuthner, Christoph (2020). Documentation of mail data collection. Mannheim,GESIS - Leibniz Institute for the Social Sciences (GESIS- Survey Guidelines). DOI: 10.15465/gesis-sg_en_032