The quality of fertility data in the web-based Generations and Gender Survey

Abstract

BACKGROUND The Generations and Gender Survey (GGS) enables investigating family-related events from a life course perspective. After its first round of face-to-face implementation, various factors resulted in the second round being implemented on the web. Despite its advantages, implementing a web-based GGS has its drawbacks ‒ for instance, possible misreporting, and especially underreporting, of life history variables due to the lack of on-site guidance. OBJECTIVE To assess the quality of GGS second-round data collected through the web by verifying the accuracy of fertility histories.