Survey Data Analysis Using Information Theory – A New Method for Business Research
Authors
Pak Hou Che1, *, Caleb Huanyong Chen1, Chunsheng Li1
1School of Business, Macau University of Science and Technology, Macao SAR, China
*Corresponding author. Email: pahche@must.edu.mo
Corresponding Author
Pak Hou Che
Available Online 15 December 2021.
- DOI
- 10.2991/assehr.k.211209.127How to use a DOI?
- Keywords
- Survey analysis; information theory; entropy; regression
- Abstract
As a traditional method to test relationships between variables, regression has been used widely but there are also limitations. Based on information theory, this study proposed an entropy method for researchers to use as an alternative option. Firstly, the mathematical foundation basing on entropy theory was built. Then a computer-simulated model and data were generated and tested. Finally, real survey data were used to test the method. Both computer-simulated and survey models proved the equivalence between the entropy method and traditional regression, while the entropy method told more details behind the data. This study extends methodologies and research in business.
- Copyright
- © 2021 The Authors. Published by Atlantis Press International B.V.
- Open Access
- This is an open access article under the CC BY-NC license.
Cite this article
TY - CONF AU - Pak Hou Che AU - Caleb Huanyong Chen AU - Chunsheng Li PY - 2021 DA - 2021/12/15 TI - Survey Data Analysis Using Information Theory – A New Method for Business Research BT - Proceedings of the 2021 3rd International Conference on Economic Management and Cultural Industry (ICEMCI 2021) PB - Atlantis Press SP - 775 EP - 778 SN - 2352-5428 UR - https://doi.org/10.2991/assehr.k.211209.127 DO - 10.2991/assehr.k.211209.127 ID - Che2021 ER -