Innovations in Data Collection in Resource-Poor Settings

• Activity Number: 679
• Type: Topic Contributed
• Date/Time: Thursday, August 13, 2015 : 10:30 AM to 12:20 PM
• Sponsor: Social Statistics Section
• Author(s): Beth-Ellen Pennell* and Sarah Hughes and Kristen Cibelli-Hibben and Jennifer Kelley and Yu-chieh Lin
• Companies: University of Michigan and NORC at the University of Chicago and University of Michigan and University of Michigan and University of Michigan
• Keywords: data collection ; quality monitoring ; new technologies

Abstract

The diffusion of affordable technology in developing and transitional countries is facilitating new approaches to data collection and quality control monitoring. This includes the collection of rich paradata, with immediate access to survey and process data (including call records). Self-administered modes such as audio computer assisted self-interview (ACASI) are being used in new contexts as are the use of digital recordings, GPS, digital photography and digital fingerprinting, among other examples. These advances bring both challenges and opportunities. The use of technology can also disrupt traditional organizational structures and models as well as information flow about data production, quality and costs. This presentation will trace these developments with examples from a number of surveys, with an emphasis on studies conducted in developing and transitional countries. The presentation will also look at regional trends as many of the challenges differ by research and technical infrastructure, number of languages, and cultural traditions. Finally, we will look take a look ahead to developments and trends in this area.