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      Sensor-based proximity metrics for team research. A validation study across three organizational contexts

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          Abstract

          Wearable sensors are becoming increasingly popular in organizational research. Although validation studies that examine sensor data in conjunction with established social and psychological constructs are becoming more frequent, they are usually limited for two reasons: first, most validation studies are carried out under laboratory settings. Only a handful of studies have been carried out in real-world organizational environments. Second, for those studies carried out in field settings, reported findings are derived from a single case only, thus seriously limiting the possibility of studying the influence of contextual factors on sensor-based measurements. This article presents a validation study of expressive and instrumental ties across nine relatively small R&D teams. The convergent validity of Bluetooth (BT) detections is reported for friendship and advice-seeking ties under three organizational contexts: research labs, private companies, and university-based teams. Results show that, in general, BT detections correlated strongly with self-reported measurements. However, the organizational context affects both the strength of the observed correlation and its direction. Whereas advice-seeking ties generally occur in close spatial proximity and are best identified in university environments, friendship relationships occur at a greater spatial distance, especially in research labs. We conclude with recommendations for fine-tuning the validity of sensor measurements by carefully examining the opportunities for organizational embedding in relation to the research question and collecting complementary data through mixed-method research designs.

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          Most cited references71

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          THE ESSENTIAL IMPACT OF CONTEXT ON ORGANIZATIONAL BEHAVIOR.

          T G Johns (2006)
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            cocor: A Comprehensive Solution for the Statistical Comparison of Correlations

            A valid comparison of the magnitude of two correlations requires researchers to directly contrast the correlations using an appropriate statistical test. In many popular statistics packages, however, tests for the significance of the difference between correlations are missing. To close this gap, we introduce cocor, a free software package for the R programming language. The cocor package covers a broad range of tests including the comparisons of independent and dependent correlations with either overlapping or nonoverlapping variables. The package also includes an implementation of Zou’s confidence interval for all of these comparisons. The platform independent cocor package enhances the R statistical computing environment and is available for scripting. Two different graphical user interfaces—a plugin for RKWard and a web interface—make cocor a convenient and user-friendly tool.
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              Networks, Diversity, and Productivity: The Social Capital of Corporate R&D Teams

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                Author and article information

                Contributors
                jmuller@uoc.edu
                Journal
                Behav Res Methods
                Behav Res Methods
                Behavior Research Methods
                Springer US (New York )
                1554-351X
                1554-3528
                19 August 2020
                19 August 2020
                2021
                : 53
                : 2
                : 718-743
                Affiliations
                [1 ]GRID grid.36083.3e, ISNI 0000 0001 2171 6620, Universitat Oberta de Catalunya, Internet Interdisciplinary Institute IN3, ; Barcelona, Spain
                [2 ]GRID grid.7628.b, ISNI 0000 0001 0726 8331, Oxford Brookes University, ; Oxford, UK
                [3 ]GRID grid.15788.33, ISNI 0000 0001 1177 4763, Department of Management, , Vienna University of Economics and Business, ; Vienna, Austria
                Author information
                http://orcid.org/0000-0001-7727-2117
                Article
                1444
                10.3758/s13428-020-01444-x
                8062328
                32813224
                dbdc6eb0-07b3-4acc-8547-d5c8a120ace9
                © The Author(s) 2020

                Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.

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                © The Psychonomic Society, Inc. 2021

                Clinical Psychology & Psychiatry
                wearable sensors,bluetooth,team science,mixed-methods,organizational context

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