Yasuo Miyazaki

Yasuo Miyazaki
Assistant Professor
Educational Research and Evaluation (Statistics & Measurement)
Ph.D., Michigan State University

Areas of Specialization: Hierarchical linear/nonlinear model, Hierarchical Measurement model, Latent effects model, Models for growth and change, School Effects, Sample size and Power issues for designing educational research

Dr. Miyazaki’s research focuses on topics and issues in Hierarchical linear/nonlinear models. He is interested in developing and applying hierarchical models to address both substantive and technical research questions. His work includes: growth models for learning and change; hierarchical linear factor models that extracts factors operating at macro levels; hierarchical measurement models that link multilevel models and measurement models; sample sizes and statistical power in repeated measures cluster randomized experiments, and contextual effect models that capture effects of schooling. Dr. Miyazaki teaches courses in statistics and research design. Prior to joining the faculty at Virginia Tech, Dr. Miyazaki worked as an instructor at Michigan State University, a chief researcher at National Institute for Educational Policy Research in Tokyo, Japan, and an assistant research scientist at the Center for Human Growth and Development in the University of Michigan.