Quantitative Methods
Department of Educational Psychology
The Department of Educational Psychology offers both a doctoral (Ph.D.) and master’s (M.Ed.) specialization in Quantitative Methods.
The master’s specialization is designed to provide the knowledge and technical skills that can prepare one for several professional roles including social science researcher or statistical analyst for testing companies, academic institutions, state and federal agencies, or school districts.
In the Quantitative Methods Ph.D. specialization, students are prepared as professional educational researchers who understand and apply advanced quantitative research methods to address social problems and conduct sophisticated methodological research.
Our graduates are employed in a variety of settings, such as:
- colleges and universities
- professional testing organizations
- educational research and development agencies
- industrial psychology agencies
- governing agencies of higher education
- state departments of education
- research and program evaluation divisions of large school districts
Faculty
The following faculty will be reviewing applications and plan to admit Ph.D. students in 2025:
- Man Chen
- Hyeon-Ah Kang
- Seung Choi
- Tiffany Whittaker
Students are admitted to the program area, and while they are welcome to select individual faculty members for their application, they are not required to do so.
Interested in statistical models with a focus on deriving and evaluating multilevel model extensions and meta-analysis models for educational, behavioral, social and medical science data.
Statistical methods and techniques for meta-analysis with a focus on selective reporting and publication bias, effect size calculations, multilevel modeling
Interests include the development and dissemination of computerized adaptive testing applications in educational and psychological testing and patient-reported outcome measurements.
Research interests focus on using Bayesian statistical methods to employ hierarchical linear modeling, specifically working with longitudinal and mediation data.
Studies statistical and computational methods for analyzing psychometric data. Research areas include item response theory, response time modeling, cognitively diagnostic models, computer-adaptive testing, and multimodal analytics of cognitive and be...
Statistical methods for causal inference, causal mediation analysis, propensity score methods, growth curve models, and methods with clustered data.
My principal methodological research interest deals with the various facets of model specification, including, but not limited to, model comparison/selection and model modification methods. With the use of simulation techniques, I examine the perform...
Affiliated Research Lab
Center for Applied Psychometric Research
Dedicated to providing cutting edge statistical and psychometric research and evaluation services to further educational improvements at the K-12 and higher education levels and to inform educators, researchers, policymakers, and other stakeholders.
Additional Resources
