Predicting Performance in Advanced Radar Intercept Officer (RIO) Training

The high attrition rate in Naval Flight Officer NFO training has been the subject of much concern and attention for some time. Of particular concern is the exceedingly high attrition rate in Radar Intercept Officer RIO training. The present prediction system is based on a linear regression technique of academic and flight variables. This thesis attempts to improve on the current prediction methods by updating the variables used, adding variables based on students personality traits and exploring the possibility of employing the logistic function as the prediction technique.