This psychometric meta-analysis investigated the relation of cognitive and non-cognitive factors to the training success of Air Traffic Controllers by synthesizing 51 studies (N = 65,839). Cognitive factors were classified by Cattel-Horn-Carrol theory. Cognitive composite scores and work samples were also included. Non-cognitive factors consisted of Big Five personality traits, biodata, motivation and non-cognitive composite scores. Medium effect was measured for cognitive factors (k = 45, p = .37). Quantitative knowledge, processing speed, work sample, short-term working memory, cognitive composite and visuo-spatial processing predictors showed large effects (p > .30). Significant moderating effects of criterion nature and period of publication were observed. Initial training (k = 30, p = .50) was generally better predicted than on-the-job training (k = 25, p = .18). Better predictive validity was measured from the 60's to nowadays. For non-cognitive factors, only a small effect was measured (k = 24, p = .15). Non-cognitive composites and education showed large effects (p > .30). No significant relation was measured between Big Five personality traits and success criteria. The present findings suggest that selection processes used for Air Traffic Controllers should focus on cognitive predictors or other methods of assessments. Data and scripts can be found at https://osf.io/mkyw7/.

这项心理计量荟萃分析通过综合 51 项研究 ( N  = 65,839) ，调查了认知和非认知因素与空中交通管制员培训成功的关系。认知因素分类采用 Cattel-Horn-Carrol 理论。认知综合分数和工作样本也包括在内。非认知因素包括大五人格特质、生物数据、动机和非认知综合得分。测量认知因素的中等效应 ( k  = 45, p  = .37)。定量知识、处理速度、工作样本、短期工作记忆、认知复合和视觉空间处理预测因子显示出较大的影响（p > .30)。观察到标准性质和出版期限的显着调节作用。初始培训（k = 30，p  = .50）通常比在职培训（k = 25，p  = .18）更好地预测。从 60 年代到现在测量了更好的预测有效性。对于非认知因素，仅测量到很小的影响（k = 24，p  = .15）。非认知复合材料和教育显示出很大的影响 ( p  > .30)。大五人格特质与成功标准之间没有显着相关性。目前的研究结果表明，用于空中交通管制员的选择过程应侧重于认知预测因素或其他评估方法。数据和脚本可以在 https://osf.io/mkyw7/ 找到。