Dr. Hongwei "Patrick" Yang
- Position: Assistant Professor
- Department: School of Education
- Office Location: Building 85, Room 173
- Campus: 850.474.2843
- Curriculum Vitae (CV)
Dr. Yang is an assistant professor in the School of Education at the University of West Florida (UWF). Essentially a quantitative methodologist by training, he also maintains a gentle connection with mixed methods research.
Prior to joining UWF, he worked in several different capacities: 1) on the research faculty at Arizona State University (ASU), 2) as a senior research associate in psychometrics in the National Board of Osteopathic Medical Examiners (NBOME) and 3) on the tenure-track faculty at the University of Kentucky (UKY).
Dr. Yang’s research interests fall into applied as well as methodological lines of inquiry. For the first line of research, he has collaborated as a quantitative methodologist and published with subject matter experts from diverse fields of studies (education, psychology, health, gerontology, family science, etc.). For the second line of research, he has published in the areas of automated test assembly (ATA) using mixed integer linear programming, statistical model selection using entropy-based model fit statistics, etc.
At UWF, his teaching responsibilities include courses in statistical methodology, mixed methods research, academic and professional writing, comprehensive examination and dissertation seminars. Previously at UKY, he offered courses in introductory statistics, general linear modeling, categorical data analysis, multivariate statistics, structural equation modeling (SEM), and educational research methodology.
Finally, Dr. Yang has heavily engaged himself in providing service to the institutions he was/is affiliated with, the profession and the community. He been invited to review manuscripts for various refereed journals and to serve as a grant proposal reviewer for the National Endowment for the Arts (NEA). Dr. Yang has also been active in creating and supporting community partnerships through contributing to program evaluation and outcome data analysis, particularly those projects supporting the elderly living with dementia and Alzheimer's Disease.