Level: Beginner
【Presenter】
J. F. Oberlin University School of Business Management Specially Appointed Lecturer Masaru Kawasaki
Keio University Takenori Takahashi
[Presentation overview]
If the questionnaire survey reveals the main cause items that should be addressed, it is necessary to understand the factors (what) and levels (in what state) in order to prepare concrete measures. As a method for this purpose, there is a questionnaire experiment. Questionnaire experiments, also called conjoint analysis, have been used in various fields. However, most of them analyze only main effects without considering interactions. This is due to the fact that the number of profile cards to be used is limited (cannot handle many). However, ignoring interactions runs the risk of making the analysis unreliable. Therefore, it is important to handle the necessary interactions even with a small number of profile cards. This study discusses a questionnaire experiment that approaches this point in a devised way.
[Presenter profile]
After working for a marketing affiliate, an EAP (Employee Assistance Program) service provider, and a venture company, became independent as an organizational personnel consultant. While engaging in corporate organization and human resource development work, as a working graduate student, he is engaged in research on the theme of analysis and design based on questionnaire surveys and questionnaire experiments. After completing his studies, he continued to practice research, analysis, and consultation, focusing on themes in the social sciences. Currently, he is a specially-appointed lecturer at J. F. Oberlin University's School of Business Management, a representative of FREELY LLC, and a director of the NPO GEWEL. is doing. http://researchmap.jp/sho-kawasaki/
[Collection of papers]
To the paper collection site
https://community.jmp.com/t5/Discovery-Summit-Japan-2022/Discovery-Summit-Japan-2022-%E8%AB%96%E6%96%87%E9%9B%86/ta-p /568396
