COMPUTERIZED GENERAL INTELLIGENCE TEST FOR AIR TRAFFIC CONTROLLER RECRUITMENT
 
Contreras, M.J., Peh, C.S., Rubio, V.J. and Santacreu, J., Universidad Autnoma de Madrid
 
General intelligence ability is one of the best predictors of job performance. This is particularly true for the recruitment of high- complexity job applicants. However, traditional paper and pencil tests have serious disadvantages computerized tests might solve, such as test security and assessment optimization for each examinee. The main aim of this work is the design of a new general intelligence computer adaptive test (CAT) for top-job personnel recruitment (e.g. air traffic controllers, ATCo). The paper presents two different studies. The first one, over a wide sample of ATC applicants, test designing and psychometric characteristics from both, Classical Test Theory and Item Response Theory are shown. The second one shows the results on the validity of the new test using the Raven's Advanced Progressive Matrices Test and Cattell's Culture Fair Intelligence Test. Results have shown the reliability, validity and availability of the new CAT.