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Augmenting Surveys With Data From Sensors and Apps: Opportunities and Challenges by Bella Struminskaya; Peter Lugtig; Florian Keusch; Jan Karem Höhne is a Social Sciences article available to read on EtoBox.

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The increasing volume of "Big Data" produced by sensors and smart devices can transform the social and behavioral sciences. Several successful studies used digital data to provide new insights into social reality. This special issue argues that the true power of these data for the social sciences lies in connecting new data sources with surveys. While new digital data are rich in volume, they seldomly cover the full population nor do they provide insights into individuals' feelings, motivations, and attitudes. Conversely, survey data, while well suited for measuring people's internal states, are relatively poor at measuring behaviors and facts. Developing a methodology for integrating the two data sources can mitigate their respective weaknesses. Sensors and apps on smartphones are useful for collecting both survey data and digital data. For example, smartphones can track people's travel behavior and ask questions about its motives. A general methodology on the augmentation of surveys with data from sensors and apps is currently missing. Issues of representativeness, processing, storage, data linkage, and how to combine survey data with sensor and app data to produce one statistic

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Author

Bella Struminskaya; Peter Lugtig; Florian Keusch; Jan Karem Höhne

Publisher

SAGE Publications

Published

2020

Language

EN

Field

Social Sciences