Ph.D. in Psychometrics and Quantitative Psychology

GSAS Psychometrics and Quantitative Psychology

Fordham’s doctoral program in psychometrics and quantitative psychology (PQP) offers the opportunity to acquire a variety of advanced and sophisticated measurement, evaluation, and statistical skills, preparing our graduates for careers in industry, research, or teaching.

With help and guidance from faculty mentors, our doctoral students perform research in one of the following areas:

  • Models of decision and choice
  • Bayesian statistics
  • Structural equation modeling
  • Item response theory
  • Hierarchical linear modeling
  • Longitudinal data analysis
  • Propensity score analysis
  • Missing data analysis
  • Categorical data analysis
  • Correspondence analysis
  • Scaling methods
  • Profile analysis

Our program also provides a strong foundation in general psychology. Students regularly interact with faculty and students in other psychology doctoral programs. Consistent with Fordham’s commitment to the dignity and uniqueness of each person, they develop a deep understanding of the ethical principles that guide modern research.

Program Basic Requirements

  • 81 credits beyond a bachelor’s degree (51 credits for students who hold an M.S. or M.A. degree in a relevant field)
  • Comprehensive exam
  • Ph.D. Dissertation

Careers

Our alumni have gone on to jobs at established institutions in a variety of fields. Examples include:

  • Industry: ACT, ETS, College Board, Pearson, Data Square, QueBIT Consulting, and Peter Flom Consulting
  • Universities: California State University, University of Texas, Seton Hall University, Farleigh Dickinson University, University of Massachusetts, Amherst, and New York Institute of Technology
  • Public School Systems: New York City Department of Education and New Haven Public Schools