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Examining the Prospective Relationship Between Communication Network Structure and Task Cohesion and Team Performance

机译:研究之间的潜在关系通信网络结构和任务凝聚力和团队绩效

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It has been reported in past research that information exchange at the individual and team level (i.e., communication network structure) is associated with higher perceived task cohesion and team performance. The current study extended these findings to intact sport teams and tested these relationships across time. Competitive basketball athletes (N = 133, k = 15; M-age = 27.4, SD = 7.5 years) completed measures of information exchange with teammates during a game (peer nominations using social network analysis) and task cohesion. Performance was collected using objective winning percentage. A prospective design across the first half of a competitive season was used. Controlling for early season perceptions of task cohesion, interacting with a higher number of teammates, and higher collective information exchange at the team level at early season significantly predicted later task cohesion perceptions (n = 70; pseudo R-2 = .49). Using a multilevel model, the overall variance accounted for was captured at both the individual (42%) and team (7%) level. In a second analysis, a hierarchical regression controlling for early season team performance found that information exchange of the team as a whole at early season significantly predicted team performance (n = 109; R-adj(2) = .48, p < .001). These results highlight a pattern of relationships between information exchange and both task cohesion and team performance consistent with past theorizing. In terms of uniqueness, specific aspects of information exchange (i.e., individual vs. team level network structure) differed for each dependent variable.
机译:据报道在过去的研究在个人和团队的信息交换级别(例如,通信网络结构)与更高的感知任务凝聚力和团队绩效。这些发现完整的体育团队和测试这些关系跨越时间。篮球运动员(N = 133 k = 15;27.4, SD = 7.5年)完成的措施信息交换与队友在比赛中(使用社会网络分析同伴提名)和任务凝聚力。使用客观的胜率。设计在上半年的竞争力季节使用。的认知任务凝聚力,与一个交互更多的队友,和更高的集体信息交流在团队层面季显著预测以后的任务凝聚力的看法(n = 70;使用多级模型,总体方差占了两个人(42%)和团队(7%)的水平。分层回归控制早期赛季球队表现发现信息交流团队作为一个整体在赛季初显著预测团队绩效(n =109;突出的模式之间的关系信息交换任务凝聚力和团队绩效与过去的理论一致。的独特性,特定方面的信息交换(即个人与团队为每个不同层次网络结构)因变量。

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