Institute of Psychology, Kiel University, Kiel, Germany.
PLoS One. 2023 Jan 13;18(1):e0279933. doi: 10.1371/journal.pone.0279933. eCollection 2023.
We meta-analyzed the relationship between team planning and performance moderated by task, team, context, and methodological factors. For testing our hypothesized model, we used a meta-analytic structural equation modeling approach. Based on K = 33 independent samples (N = 1,885 teams), a mixed-effects model indicated a non-zero moderate positive effect size (ρ = .31, 95% CI [.20, .42]). Methodological quality, generally rated as adequate, was unrelated to effect size. Sensitivity analyses suggest that effect sizes were robust to exclusion of any individual study and publication bias. The statistical power of the studies was generally low and significantly moderated the relationship, with a large positive relationship for studies with high-powered (k = 42, ρ = .40, 95% CI [.27, .54]) and a smaller, significant relationship for low-powered studies (k = 54, ρ = .16, 95% CI [.01, .30]). The effect size was robust and generally not qualified by a large number of moderators, but was more pronounced for less interdependent tasks, less specialized team members, and assessment of quality rather than quantity of planning. Latent class analysis revealed no qualitatively different subgroups within populations. We recommend large-scale collaboration to overcome several methodological weaknesses of the current literature, which is severely underpowered, potentially biased by self-reporting data, and lacks long-term follow-ups.
我们对团队规划与绩效之间的关系进行了元分析，这些关系受到任务、团队、背景和方法因素的调节。为了检验我们的假设模型，我们使用了元分析结构方程建模方法。基于 K = 33 个独立样本（N = 1,885 个团队），混合效应模型表明存在非零适度正效应大小（ρ =.31，95%CI [.20，.42]）。方法质量通常被评为足够，与效应大小无关。敏感性分析表明，排除任何单个研究和出版偏倚后，效应大小是稳健的。研究的统计能力普遍较低，并且显著调节了这种关系，对于高功率研究（k = 42，ρ =.40，95%CI [.27，.54]），效应大小呈正相关，而对于低功率研究（k = 54，ρ =.16，95%CI [.01，.30]），则呈较小但显著的关系。效应大小是稳健的，通常不受大量调节因素的限制，但在任务相互依赖性较低、团队成员专业化程度较低以及评估规划质量而非数量时，效应大小更为明显。潜在类别分析显示，在人群中没有明显不同的亚组。我们建议进行大规模合作，以克服当前文献中存在的一些方法学弱点，这些弱点包括研究力量严重不足、可能受到自我报告数据的影响以及缺乏长期随访。
