This project examines the motion and aerodynamic data associated with dynamic wind tunnel tests. Historically, the aerodynamic data measured with dynamic testing has not correlated well with actual flight data, and in general has not been used in system simulations for aircrew training or flight analysis. An improved data reduction method is presented to extract signal data from dynamic tests. The reduction method applies a Fourier series approximation fit to oscillatory data, and a linear regression fit to steady state data. Both methods provide good signal extraction and data smoothing. Additionally, the report documents methods and equations developed by Juri Kalviste for the handling, analysis, and simulation of dynamic data. A prototype software program has been developed to exercise the reduction methods. The program uses a new modeling architecture that enables rapid, seamless incorporation of alternative reduction or aerodynamic modeling methods.