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Assessing Trust and Effectiveness in Virtual Teams: Latent Growth Curve and Latent Change Score Models

Author

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  • Michael D. Coovert

    (Department of Psychology, University of South Florida; Tampa, FL 33620, USA)

  • Evgeniya E. Pavlova Miller

    (State Farm Mutual Automobile Insurance Company, Atlanta, GA 30346, USA)

  • Winston Bennett Jr.

    (Air Force Research Laboratory, Airman Systems Directorate; Dayton, OH 45433, USA)

Abstract

Trust plays a central role in the effectiveness of work groups and teams. This is the case for both face-to-face and virtual teams. Yet little is known about the development of trust in virtual teams. We examined cognitive and affective trust and their relationship to team effectiveness as reflected through satisfaction with one’s team and task performance. Latent growth curve analysis reveals both trust types start at a significant level with individual differences in that initial level. Cognitive trust follows a linear growth pattern while affective trust is overall non-linear, but becomes linear once established. Latent change score models are utilized to examine change in trust and also its relationship with satisfaction with the team and team performance. In examining only change in trust and its relationship to satisfaction there appears to be a straightforward influence of trust on satisfaction and satisfaction on trust. However, when incorporated into a bivariate coupling latent change model the dynamics of the relationship are revealed. A similar pattern holds for trust and task performance; however, in the bivariate coupling change model a more parsimonious representation is preferred.

Suggested Citation

  • Michael D. Coovert & Evgeniya E. Pavlova Miller & Winston Bennett Jr., 2017. "Assessing Trust and Effectiveness in Virtual Teams: Latent Growth Curve and Latent Change Score Models," Social Sciences, MDPI, vol. 6(3), pages 1-26, August.
    • Handle: RePEc:gam:jscscx:v:6:y:2017:i:3:p:87-:d:106694
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    References listed on IDEAS

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    Cited by:

    1. Michael D Coovert & Winston Bennett Jr, 2022. "The importance of identifying the dimensionality of constructs employed in simulation and training for AI," The Journal of Defense Modeling and Simulation, , vol. 19(2), pages 229-236, April.

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