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
Quantitative Methods Faculty
Tasha BeretvasJohn L. and Elizabeth G. Hill Centennial Professor
Interested in statistical models with a focus on deriving and evaluating multilevel model extensions and meta-analysis models for educational and social science data.
Seung W ChoiProfessor, Quantitative Methods Area Chair
Interests include the development and dissemination of computerized adaptive testing applications in educational and psychological testing and patient-reported outcome measurements.
Hyeon-Ah KangAssistant Professor
Studies statistical methods related to psychometrics, such as item response theory, response time modeling, diagnostic classification modeling, and stochastic test design.
Brian KellerAssistant Professor
Interests include the statistical analysis of data with missing values, Bayesian statistics, and statistical computing.
Xiao LiuAssistant Professor
Interests include developing, evaluating and applying quantitative methods for designing research studies, analyzing complex data and improving causal inference.
Tiffany WhittakerProfessor & Interim Department Chair
Research focuses on the examination and demonstration of various procedures used to model the relationships among variables, such as structural equation modeling, multilevel modeling, and item response theory with an overarching focus on model specification.
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.