Human pilot flight performance data was investigated using nonlinear time series analysis methods to determine deterministic chaotic behavior possessed in the data. Using a sequence of steps of nonlinear methods, flight performance data set was chosen for this study. Results revealed that flight performance data exhibit chaotic behavior with low determinism value. It was also found that data was originated from non-stationary process. The Maximal Lyapunov Exponent (MLE) value further revealed that most of the data examined possessed traces of deterministic chaotic behavior. These findings were discussed and the implication of the findings were given for the future analysis of these kind of data
