A Large Scale Validation Study on Air Traffic Controller Selection and Training – Design, Challenges and Results
16th International Symposium on Aviation Psychology, Page: 375-380
2011
- 235Usage
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Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
Citation Benchmarking is provided by Scopus and SciVal and is different from the metrics context provided by PlumX Metrics.
Metrics Details
- Usage235
- Downloads148
- Abstract Views87
Article Description
A validation study with 476 air traffic controller trainees of DFS German Air Navigation Services has been set up, encompassing the complete data from the selection of candidates to the completion of their training. The design includes a detailed coding of interview contents, questionnaire data, and results of the reference sample of 13,716 applicants. Data analysis involves the prediction of training success, training performance, and trainees’ personal evaluation of the selection and training process. The success rate of 81 % was satisfactory. Selection measures were adequate to predict pass-fail and performance criteria from institutional training (i.e., theoretical exams). Basic ability measures and a semi-structured interview predicted success in training best. Performance in early training courses was positively related to successive stages and to overall training success. Repetition of exams and switching of training courses/units increased the likelihood of failing. The limits of a correlationbased approach to examine validity are discussed.
Bibliographic Details
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