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Quantitative Methods (M.Ed.)

Department of Psychology and Human Development

Program Overview

Students enroll in our program to develop skills in using quantitative, statistical, and measurement models in applied research settings. Data science and quantitative analysis is one of the most modern and exciting professions available in our workforce. Consider a masters degree in Quantitative Methods (QM) from Vanderbilt University's Peabody College.


You’ll work closely with Quantitative Methods faculty members to develop expertise in both the theory and application of quantitative analysis in behavioral, social, and educational sciences.  On graduation, you’ll be equipped to apply research in school systems, health and medical settings, government and industry, dedicated research institutes, and other academic settings.

Internship

The master’s degree in Quantitative Methods is a two-year program that culminates in a summer- or semester-long internship in which you provide design, measurement and statistical support for a public or private organization in Nashville or the broader research community. You’ll be placed in an internship based on your quantitative methods skills and interests, using your training in research design, measurement, and statistical software skills. 

Quantitative Methods Colloquium Series

The Quantitative Methods program offers a biweekly colloquium series, featuring talks on various aspects of methodology. Speakers include faculty and graduate students within the program and from across the university, as well as occasional invited speakers from other institutions. Some weeks, there are professional development and journal club discussions.

Program at a Glance

Master of Education (M.Ed.) in Quantitative Methods

Department of Psychology and Human Development

Program Directors: Shane Hutton, Ph.D., and Joe Rodgers, Ph.D.
Admissions Coordinator: Ally Armstead
Admission Term: Fall
Credit Hours: 32
Priority Application Deadline: December 31* for fall entrance

* We will continue to accept applications after this date, but applications will be evaluated for admission and scholarships as space and funds are available.

Careers in Quantitative Methods

Quantitative psychologists study and develop methods and techniques for measuring human behavior. They use data collected from psychological and educational measurement to design research studies, form analyses, and build models of psychological processes. Graduates of this program typically continue with doctoral studies in Quantitative Methods or find employment in research and data analysis settings such as:

  • social/behavioral research laboratories
  • public school systems
  • medical school research
  • testing companies
  • university research programs
  • industrial research
  • government research laboratories

100%

of Quantitative Methods graduates were employed or attending graduate school within four months of graduation.

Click here to see a list of recent career placements:

Recent graduates with an M.Ed in Quantitative Methods have gone on the following positions, among others
  • Data Analyst, Tennessee Department of Health
  • Senior Data Analyst, Capital One Financial Services
  • Neuroimaging technician and analyst, Washington University School of Medicine
  • Graduate School in Clinical Psychology, Vanderbilt

Internship Experience

In addition to required coursework, you’ll integrate quantitative research and theory with effective practice through an intensive internship. Through this experience, you will develop and contribute to research designs, measurement plans, sampling schemes, and data and statistical analysis.

You’ll be placed in your internship based on your skills and interests. The internship takes place in an applied research setting, such as a school system, medical school research setting, testing company or policy institute. You’ll collaborate with, and be supervised by, a Vanderbilt faculty member throughout the process.

On completing the internship, you’ll be required to write a research summary of your activity. You’ll also be required to give a short presentation to a program co-director and an additional faculty member. The summary and presentation must indicate research activity on which you worked, your specific contribution, analytic methods employed, software employed, and the products of the research activity. The conclusion should critically evaluate the contribution of the internship to your personal career goals.

Program Curriculum

You’ll take two required core courses in Quantitative Methods during this 32-hour program, one required hour of seminar activity, one required hour of internship activity and eight additional courses, one of which may be a content course outside the Quantitative Methods program and one Quantitative Methods course outside of the Psychology and Human Development Department.

Required Courses: 6 hours

You’ll be required to complete PSY-GS 8861 Statistical Inference and PSY-GS 8864 Experimental Design, the two-semester introductory statistics sequence.

Required Seminar Enrollment: 1 hour

You must obtain at least two hours from the regular one-hour Quantitative Methods seminar series, PSY-GS 8855 Quant Methods Forum.

Required Internship Enrollment: 1 hour

You must enroll in one hour for the required internship during your last semester, PSY-PC 7982 Quantitative Methods Internship.

Elective Courses: 24 hours

Of the eight 3-hour elective courses, one Quantitative Methods course can come from outside the Quantitative Methods program e.g., biostatistics, or other quantitative methods courses within Peabody. One course can be a content course from within the Psychology Department.

Thus, of the eight electives, six must come from within the Psychology and Human Development Quantitative Methods curriculum (and seven or eight can come from the Quantitative Methods curriculum), including:

  • PSY-GS 8867 Multivariate Analysis
  • PSY-GS 8870 Correlation and Regression
  • PSY-GS 8873 Structural Equation Modeling
  • PSY-GS 8850 Advanced SEM
  • PSY-GS 8876 Psychological Measurement
  • PSY-GS 8850 Exploratory and Graphical Data Analysis
  • PSY-GS Nonparametric Statistics
  • PSY-GS 8879 Factor Analysis
  • PSY-GS 8882 Multilevel Modeling
  • PSY-GS 8888 Latent growth Curve Modeling
  • PSY-GS 8885 Latent Class and Mixture Modeling
  • PSY-GS 8850 Applied Bayesian Analysis for Latent Variable Modeling
  • PSY-GS 8880 Introduction to Item Response Theory
  • PSY-GS 8881 Advanced Item Response Theory
Program Curriculum

Faculty

The Quantitative Methods program maintains its own quantitative computer lab, and individual faculty also have labs and computing resources that support their research programs.

Sun-Joo Cho
  • Associate Professor of Psychology and Human Development, Department of Psychology and Human Development
David Cole
  • Patricia and Rodes Hart Professor of Psychology, Department of Psychology and Human Development
Shane Hutton
  • Lecturer, Department of Psychology and Human Development
David J. Lubinski
  • Professor, Department of Psychology and Human Development
Kristopher Preacher
  • Professor of Psychology, Department of Psychology and Human Development
Joseph Rodgers
  • Lois Autrey Betts Professor of Psychology, Department of Psychology and Human Development
Sonya Sterba
  • Associate Professor of Psychology, Department of Psychology and Human Development
Andrew Tomarken
  • Associate Professor, Department of Psychology, Quantitative Methods