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首页> 美国政府科技报告 >Predicting the Productive Capacity of Air Force Aerospace Ground EquipmentPersonnel Using Aptitude and Experience Measures
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Predicting the Productive Capacity of Air Force Aerospace Ground EquipmentPersonnel Using Aptitude and Experience Measures

机译：利用能力和经验测量预测空军航空地面设备人员的生产能力

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This study investigated the effects of mechanical aptitude and job experience onthe job performance of 204 Air Force Aerospace Group Equipment (AGE) mechanics. Job performance was expressed as productive capacity (PC), which is derived from estimated performance times on job tasks. PC measures were derived for 50 tasks typically performed by airmen in the specialty. Aptitude measures took the form of Mechanical percentile composite scores on the Armed Services Vocational Aptitude Battery (ASVAB). A second-order logistic model was used to regress PC on aptitude and experience at the task level and at the overall job, or aggregate, level. Model R(2)s were generally low. For the tasks, R(2)s ranged from .01 to .13, and for the aggregate model the R2 was about .16. Generally, experience was a significant predictor but aptitude was not. There was also no indication of an aptitude/experience interaction. These results were verified through forward stepwise regression. There was some evidence that airmen may experience some skill degradation on production-type tasks at around the six year point as they transition to supervisory roles.

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