Innovative Uses of Multimode and Multidata in Surveys: Challenges, Success, and Error Trade-offs |
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| Coordinator 1 | Dr Ting Yan (NORC at the University of Chicago) |
| Coordinator 2 | Dr Leah Christian (NORC at the University of Chicago) |
Declining response rates and increasing cost of data collection continue to challenge survey practitioners, survey researchers, and government agencies. At the same time, there is a growing need for more data and for more data to be collected more frequently, timely, and cost effectively. As a result, surveys are increasingly employing multiple modes both to contact sampled persons and to collect data from them. For instance, sampled persons may be mailed postal letters and also visited by field interviewers inviting them to participate in a survey. They may be also offered to participate in the survey online or by telephone. Furthermore, data from multiple sources are utilized to assist survey data collection, and to supplement and complement data from traditional surveys for inferences. For instance, satellite images are used to prescreen for buildings with certain desired characteristics. Administrative data can be linked to obtain additional information without burdening survey respondents.
This session will be exploring the innovative uses of multimodes and multidata sources to assist survey data collection, reduce burden, improve survey quality, and reduce cost of data collection. This session focuses on challenges, success, and error trade-offs in the multimode and multidata environment. Researchers are invited to submit papers on any of the following topics:
• Challenges, success, and error trade-offs of using multiple modes to contact/reach sampled persons
• Challenges, success, and error trade-offs of using multiple modes to collect data from sampled persons
• Challenges, success, and error trade-offs of using data from different sources to improve sampling efficiency
• Challenges, success, and error trade-offs of using data from different sources to assist and supplement data collection
• Challenges and success of combining survey data across multiple modes and from multiple sources
• Evaluating error trade-offs arising from combining data from multiple modes and/or multiple