PhD Michigan State University: Measurement and Quantitative Methods
Chi Chang is an assistant professor in the Office of Medical Education Research and Development (OMERAD). She earned her Ph.D. in Measurement and Quantitative Methods from Michigan State University. She holds master’s degrees in Biostatistics and Educational Administration and Policy. She also has a background in teacher education, education psychology, and counseling. Before joining OMERAD, she was a research assistant professor in the Methodology Group in the College of Education at the University of New Mexico. She has been a statistical consultant for many years and has been served on numerous grants.
Chang’s statistical research focuses on multilevel mixture modeling. She examines the quality of parameter estimates and the classification accuracy of multilevel mixture models under various conditions. She applied mixture models in health science to identify cancer-related risk behavior types and used structural equation models to examine gender and ethnicity disparities in the cognitive function. Her career goal is to optimize classification algorithms for facilitating disease diagnoses.
Areas of Interest
In addition to multilevel modeling and mixture modeling, Chang’s other research interests include measurement invariances, psychometrics methods, and meta-analysis. Currently, her research is focused on applying deep learning algorithms to examine the relationships between risk behavior, environmental effects and cancer survivorship using spatial-temporal data. In addition to her work in methodological evaluation, she has a wide variety of interests in applied research, particularly in medicine, epidemiology, educational assessment, and social science.