Quantitative Methods

Two young men work on a math problem at a chalkboard.

Photo of Seung Choi

Area Chair
Seung Choi

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

Photo of Natasha Beretvas

Tasha Beretvas

John 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.

Photo of Seung Choi

Seung W Choi

Professor, 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. 

Photo of Hyeonah "Annie" Kang

Hyeon-Ah Kang

Assistant Professor

Studies statistical methods related to psychometrics, such as item response theory, response time modeling, diagnostic classification modeling, and stochastic test design.

Photo of Brian Keller

Brian Keller

Assistant Professor

Interests include the statistical analysis of data with missing values, Bayesian statistics, and statistical computing.

Xaio Liu

Xiao Liu

Assistant Professor

Interests include developing, evaluating and applying quantitative methods for designing research studies, analyzing complex data and improving causal inference.

Photo of Tiffany Whitaker

Tiffany Whittaker

Professor & 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.