Paradata analyses to inform population-based survey capture of pregnancy outcomes: EN-INDEPTH study

• Main Authors: Vladimir Sergeevich Gordeev (Author), Joseph Akuze (Author), Angela Baschieri (Author), Sanne M. Thysen (Author), Francis Dzabeng (Author), M. Moinuddin Haider (Author), Melanie Smuk (Author), Michael Wild (Author), Michael M. Lokshin (Author), Temesgen Azemeraw Yitayew (Author), Solomon Mokonnen Abebe (Author), Davis Natukwatsa (Author), Collins Gyezaho (Author), Seeba Amenga-Etego (Author), Joy E. Lawn (Author), Hannah Blencowe (Author), the Every Newborn-INDEPTH Study Collaborative Group (Author)
• Format: Book
• Published: BMC, 2021-02-01T00:00:00Z.
• Subjects: article
• Online Access: Connect to this object online.

Abstract Background Paradata are (timestamped) records tracking the process of (electronic) data collection. We analysed paradata from a large household survey of questions capturing pregnancy outcomes to assess performance (timing and correction processes). We examined how paradata can be used to i...