Study on analyzing questionnaire survey by Monte Carlo Simulation

Traditional questionnaire usually takes likert scale and treats the data as discrete and controllable. It overlooks the different opinions chosen in the same scale, moreover does not consider the possibility distribution trend. Monte Carlo Simulation (MCS) is used to explore into the possible trend based on the distribution from the questionnaire. The difference of the results based on original questionnaire and MCS show the trying is beneficial and interesting. However, for this method, the questionnaire survey should be scientifically random. Moreover, foundational research should be conducted to test the validity. © 2010 IEEE.published_or_final_versio