Unpacking team dynamics with growth modeling: An approach to test, refine, and integrate theory

In this paper we advocate the use of growth modeling as an approach that is particularly useful for testing and refining existing theory on team dynamics, as well as integrating different theoretical perspectives. Quantitative studies that test team theories have typically included only one or two t...

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Main Authors: Collins, C., Gibson, C., Quigley, N., Parker, Sharon
Format: Journal Article
Published: Sage Publications Ltd. 2016
Online Access:http://hdl.handle.net/20.500.11937/69615
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author Collins, C.
Gibson, C.
Quigley, N.
Parker, Sharon
author_facet Collins, C.
Gibson, C.
Quigley, N.
Parker, Sharon
author_sort Collins, C.
building Curtin Institutional Repository
collection Online Access
description In this paper we advocate the use of growth modeling as an approach that is particularly useful for testing and refining existing theory on team dynamics, as well as integrating different theoretical perspectives. Quantitative studies that test team theories have typically included only one or two time points, between-team research designs, and hierarchical regression-based statistical analyses. Such an approach enables exploration of antecedents to explain why some teams are more effective than others at specified points in the team task or lifespan. In contrast, using three or more time points of data and applying growth modeling statistical analyses is atypical, but can allow for informative investigations of team trajectories, or patterns of change within teams. We argue that this approach can facilitate fruitful insights about team dynamics, and we provide guidelines for researchers as to how to investigate such team dynamics using growth modeling.
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institution Curtin University Malaysia
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last_indexed 2025-11-14T10:41:59Z
publishDate 2016
publisher Sage Publications Ltd.
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spelling curtin-20.500.11937-696152018-10-09T07:22:02Z Unpacking team dynamics with growth modeling: An approach to test, refine, and integrate theory Collins, C. Gibson, C. Quigley, N. Parker, Sharon In this paper we advocate the use of growth modeling as an approach that is particularly useful for testing and refining existing theory on team dynamics, as well as integrating different theoretical perspectives. Quantitative studies that test team theories have typically included only one or two time points, between-team research designs, and hierarchical regression-based statistical analyses. Such an approach enables exploration of antecedents to explain why some teams are more effective than others at specified points in the team task or lifespan. In contrast, using three or more time points of data and applying growth modeling statistical analyses is atypical, but can allow for informative investigations of team trajectories, or patterns of change within teams. We argue that this approach can facilitate fruitful insights about team dynamics, and we provide guidelines for researchers as to how to investigate such team dynamics using growth modeling. 2016 Journal Article http://hdl.handle.net/20.500.11937/69615 10.1177/2041386614561249 Sage Publications Ltd. restricted
spellingShingle Collins, C.
Gibson, C.
Quigley, N.
Parker, Sharon
Unpacking team dynamics with growth modeling: An approach to test, refine, and integrate theory
title Unpacking team dynamics with growth modeling: An approach to test, refine, and integrate theory
title_full Unpacking team dynamics with growth modeling: An approach to test, refine, and integrate theory
title_fullStr Unpacking team dynamics with growth modeling: An approach to test, refine, and integrate theory
title_full_unstemmed Unpacking team dynamics with growth modeling: An approach to test, refine, and integrate theory
title_short Unpacking team dynamics with growth modeling: An approach to test, refine, and integrate theory
title_sort unpacking team dynamics with growth modeling: an approach to test, refine, and integrate theory
url http://hdl.handle.net/20.500.11937/69615