Ph.D. in Quantitative Methods

Part of the Human Development and Quantitative Methods Division

The Ph.D. program in Quantitative Methods is designed to prepare future professors at research universities, and principal investigators at research and assessment organizations in education, psychology, and related human services fields. It emphasizes development and application of high-impact evaluations and measurement techniques.

Fast Facts

  • Prerequisites: Relevant academic and/or experiential background
  • Entry terms: Fall
  • Transfer Courses Accepted: Up to 8 relevant graduate courses
  • Course Requirements: 20 courses (including any transfer courses) that include 12 core QM courses, 4 elective content courses in education and/or related fields, 4 elective cognate courses in quantitative methods.
  • Typical Course Load: Fall: 3-4 courses; Spring: 3-4 courses; Fall: 3-4 courses; Spring: 3-4 courses; Fall: 3-4 courses


View Admissions Requirements

Overview

 

The Ph.D. program in Quantitative Methods is designed to prepare students for faculty positions at universities, and important responsibilities at research and assessment organizations. Graduates will be prepared to design first rate empirical research and data analyses, and to contribute to development of new research methodologies. Students who apply directly to the doctoral-level study program following a baccalaureate degree will enroll in the core courses described for M.S.Ed. degree in SMART and the more advanced courses for the Ph.D. degree. This will include the development of independent empirical research projects. The Ph.D. degree program in QM requires a minimum of 20 course units or relevant courses and advanced degree accomplishments. A maximum of eight (8) credits from other institutions may be taken into account in reducing this basic requirement where appropriate.

The Pre-Doctoral Training Program in Interdisciplinary Methods for Field-based Research in Education
The Institute of Education Sciences-funded Pre-Doctoral Training Program in Interdisciplinary Methods supports the Ph.D. training of students in various disciplines who are committed to careers in applied, field-based education research. Ph.D. students in Quantitative Methods with U.S. citizenship are eligible apply for PIMFER support. 

Program of Study

Courses

Core Courses

  • EDUC 625 Data Processing and Analysis
  • EDUC 680 Evaluation of Policies, Programs, and Projects
  • EDUC 683 Survey Methods and Design
  • EDUC 684 Measurement and Assessment
  • EDUC 767 Regression and Analysis of Variance
  • EDUC 768 Measurement Theory and Test Construction

[[break-point]]

Advanced Courses

  • EDUC 771 Factor Analysis and Scale Development
  • EDUC 777 Structural Equations Modeling
  • EDUC 871 Assessing Impact in Developing and Developed Economies: Advanced Topics in Experiments and Analysis
  • EDUC 880 Complex, Multilevel, and Longitudinal Research Models
  • EDUC 881 Applied Multivariate Statistics

Faculty

Michael J. Rovine, PhD., Adjunct Professor


Herbert M. Turner, Ph.D.Adjunct Associate Professor


Timothy Victor, Ph.D., Adjunct Associate Professor



Contact

Quantitative Methods

University of Pennsylvania
Graduate School of Education

3700 Walnut Street
Philadelphia, PA 19104

Christine P. Lee
Program Manager
(215) 898-0505
cplee@gse.upenn.edu