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Using State Space Grids for Modeling Temporal Team Dynamics
We outline the potential of dynamics systems theory for researching team processes and highlight how state space grids, as a methodological application rooted in the dynamic systems perspective, can help build new knowledge about temporal team dynamics. Specifically, state space grids visualize the...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6491667/ https://www.ncbi.nlm.nih.gov/pubmed/31068859 http://dx.doi.org/10.3389/fpsyg.2019.00863 |
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author | Meinecke, Annika L. Hemshorn de Sanchez, Clara S. Lehmann-Willenbrock, Nale Buengeler, Claudia |
author_facet | Meinecke, Annika L. Hemshorn de Sanchez, Clara S. Lehmann-Willenbrock, Nale Buengeler, Claudia |
author_sort | Meinecke, Annika L. |
collection | PubMed |
description | We outline the potential of dynamics systems theory for researching team processes and highlight how state space grids, as a methodological application rooted in the dynamic systems perspective, can help build new knowledge about temporal team dynamics. Specifically, state space grids visualize the relationship between two categorical variables that are synchronized in time, allowing the (team) researcher to track and capture the emerging structure of social processes. In addition to being a visualization tool, state space grids offer various quantifications of the dynamic properties of the team system. These measures tap into both the content and the structure of the dynamic team system. We highlight the implications of the state space grid technique for team science and discuss research areas that could benefit most from the method. To illustrate the various opportunities of state space grids, we provide an application example based on coded team interaction data. Moreover, we provide a step-by-step tutorial for researchers interested in using the state space grid technique and provide an overview of current software options. We close with a discussion of how researchers and practitioners can use state space grids for team training and team development. |
format | Online Article Text |
id | pubmed-6491667 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-64916672019-05-08 Using State Space Grids for Modeling Temporal Team Dynamics Meinecke, Annika L. Hemshorn de Sanchez, Clara S. Lehmann-Willenbrock, Nale Buengeler, Claudia Front Psychol Psychology We outline the potential of dynamics systems theory for researching team processes and highlight how state space grids, as a methodological application rooted in the dynamic systems perspective, can help build new knowledge about temporal team dynamics. Specifically, state space grids visualize the relationship between two categorical variables that are synchronized in time, allowing the (team) researcher to track and capture the emerging structure of social processes. In addition to being a visualization tool, state space grids offer various quantifications of the dynamic properties of the team system. These measures tap into both the content and the structure of the dynamic team system. We highlight the implications of the state space grid technique for team science and discuss research areas that could benefit most from the method. To illustrate the various opportunities of state space grids, we provide an application example based on coded team interaction data. Moreover, we provide a step-by-step tutorial for researchers interested in using the state space grid technique and provide an overview of current software options. We close with a discussion of how researchers and practitioners can use state space grids for team training and team development. Frontiers Media S.A. 2019-04-24 /pmc/articles/PMC6491667/ /pubmed/31068859 http://dx.doi.org/10.3389/fpsyg.2019.00863 Text en Copyright © 2019 Meinecke, Hemshorn de Sanchez, Lehmann-Willenbrock and Buengeler. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Psychology Meinecke, Annika L. Hemshorn de Sanchez, Clara S. Lehmann-Willenbrock, Nale Buengeler, Claudia Using State Space Grids for Modeling Temporal Team Dynamics |
title | Using State Space Grids for Modeling Temporal Team Dynamics |
title_full | Using State Space Grids for Modeling Temporal Team Dynamics |
title_fullStr | Using State Space Grids for Modeling Temporal Team Dynamics |
title_full_unstemmed | Using State Space Grids for Modeling Temporal Team Dynamics |
title_short | Using State Space Grids for Modeling Temporal Team Dynamics |
title_sort | using state space grids for modeling temporal team dynamics |
topic | Psychology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6491667/ https://www.ncbi.nlm.nih.gov/pubmed/31068859 http://dx.doi.org/10.3389/fpsyg.2019.00863 |
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