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American Association for Public Opinion Research

Webinar Details

Data Collection with Apps, Sensors, and Wearables

Frauke Kreuter and Florian Keusch
Thursday, November 14, 2019
12:00 Noon Central Time

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About This Course:

The proliferation of mobile and wearable technology provides new opportunities for behavioral and social researchers. Using apps, sensors, and wearables allows for the collection of observational data (e.g., on location and movement, physical activity, social interactions, mobile browsing history and app usage) at high intervals and in real time. These data can augment or replace self-reports in surveys. However, implementing data collection using these new technologies poses multiple challenges, among others related to participant selectivity, (non)willingness to provide the data, ethics and privacy. In addition, data from apps, sensors, and wearables are not free from measurement error, and specific skills are required to handle and analyze these data. In this webinar, we will provide an overview of the currently available technology and review how they can be implemented in existing surveys. We will discuss practical issues of collecting data from apps, sensors, and wearables including best practices of consent and privacy protection when collecting these types of data.

Learning objectives:
  • Review what mobile and wearable technology is available and what research questions can be answered with them
  • Raise awareness for opportunities and challenges when implementing data collection via sensors, apps, and wearables in surveys
  • Show how to ask for consent and ensure participation when collecting these data
Webinar Level:
Introductory
 
About the Instructors:

Frauke_Kreuter-edited.jpgFrauke Kreuter is Professor and Director of the Joint Program in Survey Methodology at the University of Maryland, Professor of Statistics and Methodology at the University of Mannheim and head of the Statistical Methods group at the Institute for Employment Research in Nuremberg Germany. She founder of the International Program in Survey and Data Science, co-founder of the Coleridge Initative, fellow of the American Statistical Association, and recipient of the Cox and the Links Lecture Awards. Her research focuses on data quality, privacy, and the effects of bias in data collection on statistical estimates and algorithmic fairness. Her research appeared in journals such as Public Opinion Quarterly, Journal of the Royal Statistical Society Series A, Journal of the American Statistical Association, Annual Review of Statistics and its Application, Recent books include Practical Tools for Designing and Weighting Survey Samples, Big Data and Social Science and Total Survey Error in Practice.

Keusch_Florian-edited.jpgFlorian Keusch is Professor of Statistics and Methodology in the Department of Sociology at the University of Mannheim, Adjunct Associate Professor in the Joint Program in Survey Methodology (JPSM) at the University of Maryland, and Member of the Executive Faculty Board of the International Program in Survey and Data Science (IPSDS). He holds a PhD in Social and Economic Sciences from WU, Vienna University of Economics and Business, Austria. His research focuses on nonresponse and measurement error in Web and mobile Web surveys and passive mobile data collection. His research has appeared in journals such as Public Opinion Quarterly, Journal of Survey Statistics and Methodology, Social Science Computer Review, Sociological Methods & Research, Survey Research Methods. Currently, he is co-editing special issues on “Using Mobile Apps and Sensors in Surveys” (SSCR), “New Data in Social and Behavioral Research” (POQ), and “Advancements in Online and Mobile Survey Methods” (SMIF).