Graduate Certificate in Assessment, Testing, and Measurement in Education

Develop your professional expertise or supplement your learning with a certificate in Assessment, Testing, and Measurement (ATM) in Education by combining statistical analysis, testing theory, the study of human behavior, educational measurement, and evaluation into the science of measuring educational/behavioral factors such as learning, preference, aptitude, and personality.

The program offers some of the nation's premier graduate training in psychometric and statistical methods taught by faculty who are engaged in world-class research.  Students are provided mentorship through all phases of the research process and become trained in modern analytical methods.


Core Courses

EDUC 8120: Group Comparison Designs and Analyses
EDUC 8170: Educational Measurement
EDUC 8171: Predictive Designs and Analyses
EDUC 8175: Item Response Theory
Or EDUC 8177: Assessment Engineering

Associate Professor
(202) 994-2602
Associate Professor
(202) 994-1980
Associate Professor
(202) 994-4362


    Program Entry: Spring, Summer, Fall
    Prerequisites: Bachelors Degree
    Campus: Main Campus

Application Requirements

  • Online Application
  • Resume
  • Statement of Purpose
  • 2 Letters of Recommendation
  • Transcripts (unofficial)
  • Application Fee

For more information on any of these requirements, please visit our Admissions page.

We encourage you to apply as early as possible for the next available start term. Please contact the admissions team with any questions.

Transformation Begins Here

Learn more about the Graduate Certificate in Assessment, Testing, and Measurement in Education program located on campus (202-994-7066).

In the News

Dr. William Dardick and Dr. Brandi Weiss published an article entitled, "An investigation of chi-square and entropy-based methods of item-fit using item-level contamination in item response theory" in the Journal of Modern Applied Statistical Methods, 18(2), EP3208.

Dr. William Dardick published an article entitled, "Reflections on Assessment Models," in the Social Science Research Council's Items - Insights from the Social Sciences. This article is part of their "Covid-19 and the Social Sciences" series curated by Dean Feuer.

Dr. Jaehwa Choi gave an invited presentation entitled, "n-Layer Computerized Item Modeling Practice with CAFA AIG: Period Four Implies Innovation," hosted by the Training and Certification Team at Amazon Web Services (AWS), Inc.

Dr. Brandi A. Weiss and Dr. William Dardick published an article entitled, “Making the Cut: Comparing Methods for Selecting Cut-Point Location in Logistic Regression” in The Journal of Experimental Education: Measurement, Statistics, and Research Design.

For more information, please request information or contact our admission office at or 202-994-9283.