M.Phil.Ed. in Quantitative Methods

Part of the Human Development and Quantitative Methods Division

The M.Phil.Ed. program in Quantitative Methods is designed for professionals who have already earned a relevant master's degree and wish to advance their mastery of scale development and assessment, design of randomized field trials and experiments, multivariate statistical analysis, and the production of high-quality evidence for decision-making in public and organizational policy. Emphasis is placed on mentored research.

Fast Facts

  • Prerequisites: Relevant academic and/or experiential background
  • Entry terms: Fall & Spring
  • Transfer Courses Accepted: Up to 4 relevant graduate courses
  • Course Requirements: 12 required courses (including any transfer courses) that include 12 core QM courses and 2 elective courses
  • Typical Course Load: Fall: 3-4 courses; Spring: 3-4 courses; Fall: 3-4 courses; Spring: 3-4 courses
  • Culminating Experience: A comprehensive examination

View Admissions Requirements

Overview

 

The M.Phil.Ed. degree program in Quantitative Methods is designed for professionals who have already earned a relevant master's degree and wish to advance their mastery of scale development and assessment, design of randomized field trials and experiments, multivariate statistical analysis, and the production of high-quality evidence for decision-making in public and organizational policy. Emphasis is placed on mentored research. This is a six-course-unit (minimum) program beyond the M.S.Ed. SMART curriculum (or equivalent elsewhere). The program culminates in a written comprehensive examination.

Program of Study

Core Courses

In addition to core courses for the M.S. degree in SMART

  • 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