Hong Li, PhD
Office Hours
Appointments are available by request. Please contact me to set up an appointment.
Director, APU Institute of Health Research and Associate Professor
Phone: (626) 815-6000, Ext. 6324
Email: hli@apu.edu
Office Location: Monrovia Regional Site, Room 235
Hong Li, PhD, has a broad background in psychology and health research, with primary research interest centered on the social cognitive determinants of health decision-making, health promotion, and risk reduction. Her research includes persuasion and attitude change, neural correlates of evaluation, general action and inaction goals, spirituality and health behavior, and poisoning prevention in vulnerable populations. Li has extensive experience in experimental and field research design, instrument development and evaluation, survey methodologies, systematic review, meta-analysis, and other complex quantitative statistical analyses. Prior to coming to APU, Li was a research scientist at Battelle Center for Health Analytics, where she was the site manager for federally funded population-based field studies in L.A. County. Li has published peer-reviewed journal articles and made frequent appearances at national conferences to present novel research findings and successful strategies in field research administration and management.
Education
- PhD, Social Psychology, University of Florida, 2008
- MS, Social Psychology, University of Florida, 2005
- MEd, Personality and Clinical Psychology, Peking University, 2003
Academic Area
- School of Health Sciences
- School of Nursing
Expertise
- Attitudes and Persuasion
- Quantitative Research Design and Statistical Analysis
- Psychosocial Determinants of Health Behavior
- Population-Based Field Research Management
- Questionnaire Design and Development
- Motivation and Goal-Setting
Courses Taught
- GNRS 508A — Research and Theory in Advanced Practice Nursing
- GNRS 707 — Quantitative Nursing Research Designs
- GNRS 709 — Advanced Statistical Analysis II
- GNRS 725 — Research Practicum
- UNRS 425 — Nursing Research
- RMS 710 — Intermediate Biostatistics II