Wearable Bluetooth Sensors for Capturing Relational Variables and Temporal Variability in Relationships: A Construct Validation Study

dc.contributor.author Matusik, James
dc.contributor.author Heidl, Ralph
dc.contributor.author Hollenbeck, John
dc.contributor.author Yu, Andrew
dc.contributor.author Lee, Hun
dc.contributor.author Howe, Michael
dc.contributor.department Management and Entrepreneurship
dc.date 2019-07-07T20:20:33.000
dc.date.accessioned 2020-06-30T05:59:17Z
dc.date.available 2020-06-30T05:59:17Z
dc.date.copyright Tue Jan 01 00:00:00 UTC 2019
dc.date.issued 2019-03-01
dc.description.abstract <p>The advent of wearable sensor technologies has the potential to transform organizational research by offering the unprecedented opportunity to collect continuous, objective, highly granular data over extended time periods. Recent evidence has demonstrated the potential utility of Bluetooth-enabled sensors, specifically, in identifying emergent networks via colocation signals in highly controlled contexts with known distances and groups. Although there is proof of concept that wearable Bluetooth sensors may be able to contribute to organizational research in highly controlled contexts, to date there has been no explicit psychometric construct validation effort dedicated to these sensors in field settings. Thus, the two studies described here represent the first attempt to formally evaluate longitudinalBluetooth data streams generated in field settings, testing their ability to (a) show convergent validity with respect to traditional self-reports of relational data; (b) display discriminant validitywith respect to qualitative differences in the nature of alternative relationships (i.e., advice vs. friendship); (c) document predictive validity with respect to performance; (d) decompose variance in network-related measures into meaningful within- and between-unit variability over time; and (e) complement retrospective self-reports of time spent with different groups where there is a “ground truth” criterion. Our results provide insights into the validity of Bluetooth signals with respect to capturing variables traditionally studied in organizational science and highlight how the continuous data collection capabilities made possible by wearable sensors can advance research far beyond that of the static perspectives imposed by traditional data collection strategies.</p>
dc.description.comments <p>This article is published as Matusik, J. G., Heidl, R., Hollenbeck, J. R., Yu, A., Lee, H. W., & Howe, M. (2019). Wearable bluetooth sensors for capturing relational variables and temporal variability in relationships: A construct validation study. <em>Journal of Applied Psychology, 104</em>(3), 357-387. Doi: <a target="_blank">10.1037/apl0000334</a>. Posted with permission. </p>
dc.format.mimetype application/pdf
dc.identifier archive/lib.dr.iastate.edu/management_pubs/54/
dc.identifier.articleid 1053
dc.identifier.contextkey 14108277
dc.identifier.s3bucket isulib-bepress-aws-west
dc.identifier.submissionpath management_pubs/54
dc.identifier.uri https://dr.lib.iastate.edu/handle/20.500.12876/54445
dc.language.iso en
dc.source.bitstream archive/lib.dr.iastate.edu/management_pubs/54/2019_HoweM_GS_Alert_Article_Weareable_bluethoothsensors.pdf|||Sat Jan 15 00:53:23 UTC 2022
dc.source.uri 10.1037/apl0000334
dc.subject.disciplines Business Administration, Management, and Operations
dc.subject.disciplines Electronic Devices and Semiconductor Manufacturing
dc.subject.disciplines Management Information Systems
dc.subject.disciplines Systems and Communications
dc.subject.disciplines Technology and Innovation
dc.subject.keywords wearable sensors
dc.subject.keywords Bluetooth
dc.subject.keywords convergent validity
dc.subject.keywords predictive validity
dc.subject.keywords network dynamics
dc.title Wearable Bluetooth Sensors for Capturing Relational Variables and Temporal Variability in Relationships: A Construct Validation Study
dc.type article
dc.type.genre article
dspace.entity.type Publication
relation.isAuthorOfPublication afa2125f-1e3a-4a82-9f37-b3c057c51ecb
relation.isOrgUnitOfPublication 76f2501b-6a79-4f9b-b1ae-e0c64574c784
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