2015
DOI: 10.1177/0018720815578267
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Measuring Team Cohesion

Abstract: Objective: The aim of this study was to review literature relevant to cohesion measurement, explore developing measurement approaches, and provide theoretical and practical recommendations for optimizing cohesion measurement.Background: Cohesion is essential for team effectiveness and performance, leading researchers to focus attention on understanding how to enhance it. However, cohesion is inconsistently defined and measured, making it difficult to compare findings across studies and limiting the ability to … Show more

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Cited by 175 publications
(79 citation statements)
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References 30 publications
(28 reference statements)
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“…Although aggregation of the perception of every member is common in the literature, asking supervisors to rate the teamlevel constructs was feasible. Two reasons may allow them to provide unbiased or trained ratings (Salas et al, 2015). First, team supervisors have sufficient knowledge on entire teams through everyday observations and interactions with team members.…”
Section: Team Collective Efficacymentioning
confidence: 99%
“…Although aggregation of the perception of every member is common in the literature, asking supervisors to rate the teamlevel constructs was feasible. Two reasons may allow them to provide unbiased or trained ratings (Salas et al, 2015). First, team supervisors have sufficient knowledge on entire teams through everyday observations and interactions with team members.…”
Section: Team Collective Efficacymentioning
confidence: 99%
“…For instance, our approaches do not consider the aspect of cohesion (Casey-Campbell and Martens, 2009). Cohesion is the common bond that drives colleagues to remain together and to cooperate (Salas et al, 2015). In some cases, a PM could be included in a panel for other reasons than their specific research expertise in relation to the research groups.…”
Section: Discussionmentioning
confidence: 99%
“…Measuring and annotating group cohesion at different levels is often difficult for a human annotator, because cohesion has team and individual components [19]. The problem of group cohesiveness prediction becomes even more challenging in static images.…”
Section: Introductionmentioning
confidence: 99%