Title :
Study on Analyzing Questionnaire Survey by Monte Carlo Simulation
Author :
Shijie, Jiang ; Yi, Peng ; Weisheng, Lv ; Liyin, Shen
Author_Institution :
Hong Kong Polytech. Univ., Hong Kong, China
Abstract :
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.
Keywords :
Monte Carlo methods; data analysis; Monte Carlo simulation; possibility distribution trend; questionnaire survey analysis; Biological system modeling; Computational modeling; Fuzzy set theory; Mathematical model; Monte Carlo methods; Probability distribution; Monte Carlo Simulation (MCS); fuzzy set theory; questionnaire survey; ranking by mean;
Conference_Titel :
E-Business and E-Government (ICEE), 2010 International Conference on
Conference_Location :
Guangzhou
Print_ISBN :
978-0-7695-3997-3
DOI :
10.1109/ICEE.2010.369