Ying Hong Jiang, PhD

Ying Hong Jiang’s, PhD, primary research interest is in multi-variate statistical methods, and application of these tools as structural equation modeling and meta-analysis to examine influential factors of opportunities to learn for diverse student populations. Her other interests include Monte Carlo methods to investigate relationships between influential factors and performance of certain statistical parameters, and generalizability, validity, and reliability study of large-scale alternative assessment. Ying is also interested in investigating innovative usage of statistical approaches to evaluating programs within a solid theoretical framework.

Education

• PhD, Urban Education: Educational Psychology - Research, Measurement, Evaluation and Statistics, University of Wisconsin, Milwaukee
• MS, Guidance and Counseling, Fort Valley State University
• BA, English, Shanghai International Studies University

Academic Area

• School of Education

Expertise

• Structural Equation Modeling
• Statistical Methods

Courses Taught

• EDUC575 – Educational Research, Statistics, and Program Evaluation
• EDUC740 – Intermediate Statistics,
• EDUC746 – Advanced Data Analysis
• EDUC743 – Program Evaluation
• EDUC747 – Standards-Based Assessment
• EDUC761 – Introduction to Educational Research
• EDUC762 – Quantitative Inquiry in Education
• EDUC768 – Methods of Data Collection and Analysis
• EDUC769 – Program Evaluation
• GNRS724 – Quantitative Nursing Research Design II
• GNRS709 – Advanced Quantitative Methods