Level: Beginner
When a questionnaire survey reveals major causal items that require action, it is necessary to understand the factors (what) and levels (in what state) in order to prepare specific measures. One method for this is questionnaire experiments. Questionnaire experiments, also known as conjoint analysis, have been conducted in various fields. However, most of them analyze only main effects without considering interactions. This is because there is a limit to the number of profile cards that can be used (they cannot handle many). However, ignoring interactions carries the risk that the analysis results will be unreliable. Therefore, it is important to deal with necessary interactions even with a small number of profile cards. This study discusses questionnaire experiments that approach this point in an innovative way.
After working for a marketing-related company, an EAP (Employee Assistance Program) service provider, and a venture company, he became independent as an organizational and human resources consultant. While working on organizational and human resource development for companies, he also worked as a working graduate student, conducting research on the theme of analysis and design based on questionnaire surveys and questionnaire experiments. After graduating, he continued to work both in corporate practice and research in the form of survey analysis and consultation, mainly on themes in the social sciences, and is currently a special lecturer in the School of Business Management at J. F. Oberlin University, representative of FREELY LLC, and director of the NPO GEWEL. http://researchmap.jp/sho-kawasaki/
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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
