To explore strange new philosophy, to seek out new research methodology and new visualization techniques, to boldly go where no data scientist, psychologist or philosopher has gone before.
Chong Ho Alex Yu
REASON
PASSION
COMPASSION
  ABOUT THIS WEBSITE
This is the homepage of Dr. Yu, Chong-ho (Alex). At first these pages were designed as my online vita and portfolio. Later they evolved to be an information portal for statistical analysis, research methodology, instructional psychology and technology, photography, philosophy, and many others. Please feel free to explore my site using the hot links below


  ABOUT ALEX YU
I have a Ph.D. in educational psychology (Arizona State University, ASU) with a concentration on measurement, statistics, and methodological studies, as well as a Ph.D. in philosophy (ASU),  specializing in history and philosophy of science. My research interests include, but are not limited to, alternate and emerging research methods (e.g. exploratory data analysis, data visualization, resampling, and data mining),  philosophical aspects of research methodologies (e.g. causal inferences), cross-cultural comparison (e.g. PISA, TIMSS), and the relationships between Christian faith and science. Currently I am an Associate Professor of Psychology at Azusa Pacific University.
RECENT PUBLICATION
Yu, C. H. (2017). Exploratory data analysis. In D. Bricken (Ed.). Oxford Bibliographies. New York, NY: Oxford University Press.

Yu, C. H, & Cheung, K. T. (2017). Rethinking the Dworkinian forward-looking approach: Is Affirmative Action compatible with fairness?. European Journal of Social Sciences, Education, and Research, 11(2), 166-174.
UPCOMING PRESENTATION
Bonney, L., & Yu, C. H. (2018, January). Sharing tacit knowledge for school improvement. Paper accepted for International Congress for School Effectiveness and Improvement, Singapore.
RECENT PRESENTATION
Gan, S., Lee, H. S., Brown, E., & Yu, C. H. (2017, November). The ensemble method and model comparison for predictive modeling with big data. Paper presented at Southern California Big Data Discovery Summit, Azusa, CA.