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Voluntary survey completion among team members: Implications of noncompliance and missing data for multilevel research

机译:团队成员中的自愿调查完成:不合规和缺少数据对多层研​​究的影响

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摘要

We explored whether voluntary survey completion by team members (in aggregate) is predictable from team members' collective evaluations of team-emergent states. In doing so, we reanalyze less-than-complete survey data on 110 teams from a published field study, using so-called traditional and modern missing data techniques to probe the sensitivity of these team-level relationships to data missingness. The multivariate findings revealed that a greater within-team participation rate was indeed related to a higher team-level (mean) score on team mental efficacy (across all four missing-data techniques) and less dispersion among team member judgments about internal cohesion (when the 2 modern methods were used). In addition, results show that a commonly used approach of retaining only those teams with high participation rates produces inflated standardized effect size (i.e., R~2) estimates and decreased statistical power.
机译:我们探讨了团队成员自愿进行的调查(总体而言)是否可以通过团队成员对团队新兴国家的集体评估来预测。在此过程中,我们使用所谓的传统和现代缺失数据技术,重新分析了来自已发布的现场研究的110个团队的不完全调查数据,以探究这些团队级别关系对数据缺失的敏感性。多变量研究结果表明,较高的团队参与率确实与较高的团队水平(平均)得分(在所有四种缺失数据技术上)的团队心理效率得分相关,并且与团队成员之间关于内部凝聚力的判断之间的差异较小(当使用了2种现代方法)。此外,结果表明,仅保留具有高参与率的那些团队的常用方法会产生夸大的标准化效果大小(即R〜2)估计值,并降低统计能力。

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