August 28, 2018, 1pm
GESIS, Mannheim, B2,8 (right)
As survey costs increase and response rates decrease, researchers are looking to alternative methods to collect data from study subjects. Passive data are data collected from subjects without posing questions and recording responses. Examples are passive data are: location data collected from smartphones; applications installed on smartphones; activity data from fitness devices such as fitbits. Because they are collected without subject involvement, passive data may offer a way to reduce the burden born by our research subjects while also allowing us to collect high quality data needed for social science research. However, preliminary research into how to collect and analyze passive data is needed. In this talk, I present three research studies which use passive data to improve the quality and/or reduce the burden of survey data. The talk will focus on what we have learned and what research remains to be done.
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About the Speaker
Dr. Stephanie Eckman holds a PhD from the Joint Program in Survey Methodology. She has worked from the Institute for Employment Research (IAB) in Nuremberg, Germany and at the Sociology Department at the University of Mannheim. She is currently a Fellow at RTI International in Washington DC. Her research interests include motivated misreporting, sampling methods in low resource settings, and the use of passive data.