A meta-analysis on air traffic controllers selection: cognitive and non-cognitive predictors - ScienceDirect

 A meta-analysis on air traffic controllers selection: cognitive and non-cognitive predictors - ScienceDirect  https://www.sciencedirect.com/science/article/abs/pii/S000187912200080X?via%3DihubAbstractThis 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 cogni tive 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...
Source: Intelligent Insights on Intelligence Theories and Tests (aka IQ's Corner) - Category: Neuroscience Source Type: blogs