Research Intent

Applying new and innovative theories, we will conduct research on the analysis of educational testing while incorporating diversified testing items and methods. We will further pursue our studies through communication with the world-renowned experts at CRET study meetings, conferences, and symposiums. Thus, we will endeavor to further develop the educational testing system and find methodologies that enhance the skills and abilities necessary for today’s youth and future generations in the IT-driven global era.

Dr. Hiroshi Watanabe
Member, Board of Directors

Educational testing is becoming a global concern; people around the world are seeking ways to ensure their children are proficient in a range of fields, as well as gain the skills and knowledge necessary for adulthood. There is so much to be gained by collaborating and sharing information with national and international organizations all striving for the same goal ? a better scholastic system. Many of the world’s leading educational testing organizations, known for their expertise in research and development, are also non-profit entities dedicated to the advancement of quality education worldwide. Establishing an entity with similar goals and objectives in Asia has been greatly anticipated for a long time. With both the speed and efficiency of a corporation, and the high standards of a research academy, CRET is ideally suited for this task. Through networking with overseas institutions, we hope that CRET will help lay the foundations for empirically-based educational policies and improve the quality of educational testing in Japan and overseas.

Biography

Emeritus professor, University of Tokyo, (2006 -)
Dean of the Graduate School of Education at the University of Tokyo (2002 - 2004)
Details are here.

Publications

• A Bayesian Approach for MANOVA Growth Model Analysis; (1983)　Behaviormetrika No. 13, The Behaviormetric Society of Japan, pp. 47 - 57
• Bayesian Regression Between True Scores For Pretest And Posttest Analysis; (1993) Bihaviormetrika, Vol. 20, No. 1, pp. 49 - 62
• A Bayesian Meta-Analysis For Reviewing Effect Sizes; (1993)　Japanese Psychological Research, Vol. 35, No. 3, pp. 153 - 156