We evaluated the predictive value of the Armed Services Vocational Aptitude Battery (ASVAB) at the latent level, using multitasking as a proxy for real-world job performance. We also examined whether adding measures of attention control to the ASVAB could improve its predictive validity. To answer these questions, data were collected from 171 young adults recruited from the Georgia Institute of Technology and the greater Atlanta community. Both regression and latent variable analyses revealed that the ASVAB does predict multitasking at the latent level but that measures of attention control add substantial predictive validity in explaining multitasking above and beyond the ASVAB, fluid intelligence, and processing speed. Theoretical as well as practical applications of these results are discussed in terms of theories of attention control, and potential cost savings in selection for military positions.

我们使用多任务处理作为现实工作绩效的代理，评估了潜在服务水平的武装部队职业能力电池（ASVAB）的预测价值。我们还研究了向ASVAB添加注意力控制措施是否可以提高其预测效度。为了回答这些问题，收集了从佐治亚理工学院和更大的亚特兰大社区招募的171名年轻人的数据。回归分析和潜在变量分析均显示，ASVAB确实可以在潜在水平上预测多任务处理，但是注意控制的措施在解释ASVAB，流体智能和处理速度之上和之外的多任务处理方面增加了实质性的预测有效性。这些结果的理论和实际应用是根据注意力控制理论进行讨论的，