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https://doi.org/10.13094/SMIF-2020-00022

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Collecting and using always-on location data in surveys

[journal article]

Eckman, Stephanie
Chew, Rob
Sanders, Herschel
Furberg, Robert

Abstract

As survey costs increase and response rates decrease, researchers are looking for alternative methods to collect data from study subjects. Passively collected data may offer a way to reduce the burden on research subjects while also collecting high-quality data needed for social science research.... view more

As survey costs increase and response rates decrease, researchers are looking for alternative methods to collect data from study subjects. Passively collected data may offer a way to reduce the burden on research subjects while also collecting high-quality data needed for social science research. Examples of passive data collection tools are applications installed on mobile devices and sensors in subjects’ homes or worn on the body. In this study, we focus on always-on location data collected from subjects’ iPhones. To explore the promise of passively collected data to augment and improve survey data, we conducted a 2-week pilot study with 24 subjects. We discuss the utility of always-on location data and the challenges researchers may encounter when they incorporate location data in their analyses.... view less

Keywords
data capture; cell phone; online survey; geographical factors; behavior; data

Classification
Methods and Techniques of Data Collection and Data Analysis, Statistical Methods, Computer Methods

Free Keywords
location data; mobile surveys; passive data collection; Global Positioning System; GPS

Document language
English

Publication Year
2020

Page/Pages
p. 1-9

Journal
Survey Methods: Insights from the Field (2020)

Issue topic
Advancements in Online and Mobile Survey Methods

ISSN
2296-4754

Status
Published Version; peer reviewed

Licence
Creative Commons - Attribution 4.0


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GESIS LogoDFG LogoOpen Access Logo
Home  |  Legal notices  |  Operational concept  |  Privacy policy
© 2007 - 2025 Social Science Open Access Repository (SSOAR).
Based on DSpace, Copyright (c) 2002-2022, DuraSpace. All rights reserved.