Doctoral Degree: Research, Educational Measurement and Psychometrics Concentration

Testing and assessment are very prominent in today's society. They are used in instruction, diagnosis, placement, promotions, credentialing, and selection decisions, and in educational research and evaluation. Furthermore, the No Child Left Behind legislation has led to a substantial increase in testing in the public school system. Persons trained to develop instruments such as tests, assessments, and questionnaires, to use new models and methods for data collection and analysis (such as item response theory and structural equation models), design sampling frameworks, collect and analyze data, and conduct research and evaluation studies, play vital roles in education.

The Research, Educational Measurement and Psychometrics Concentration doctoral concentration offers a graduate level program for the training of persons with specialized skills in the areas of psychometric methods (e.g., item response theory, classical test theory, and scaling), statistics, instrument development, and data analysis. Most students admitted into the Program are provided with full research assistantships and tuition waivers. The assistantships provide students with opportunities to develop practical skills, and carry out research studies. Summer internships are also a part of the graduate student training experience, and so the faculty work closely with students to create these important training opportunities. The concentration) has close connections with many testing agencies around the country that provide these summer internship experiences.

Concentration Goals and Emphases

The Research, Educational Measurement and Psychometrics Concentration Methods concentration emphasizes the training of persons in the areas of (1) educational test development (2) psychometric models, methods, and practices, (3) educational statistics, and (4) research and evaluation methods. Graduates are trained to carry out the design of research and evaluation studies, to apply modern psychometric models and methods (such as those associated with item response theory, structural equation modeling, and performance-based assessment), to develop and validate a wide variety of instruments, and to analyze data in such diverse settings as the public schools, state and federal agencies, industry, the armed services, and medical and allied-health organizations. Our special focus is on the training of program graduates with both theoretical training as well as a wide range of practical experiences. Students with such training have no difficulty finding suitable positions upon graduation. We also work with universities and testing agencies throughout the world.

Program of Study

Credits Required: 60 credits

Course Number

Course Title

Credit Hours

Core Required Courses: 16 courses/36 credits required


EDUC 632A or 625

Fundamentals of Test Construction or Classroom Assessment


EDUC 656*

Introduction to Statistics and Computer Analysis II*


EDUC 661 or 664

Educational Research Methods I or Group Design


EDUC 731**

Structural Equations Modeling**


EDUC 735

Advanced Theory and Practice of Testing I


EDUC 736*

Advanced Theory and Practice of Testing II*


EDUC 747

Programming for Psychometric and Statistical Modeling


EDUC 771**

Applied Multivariate Statistics I**


EDUC 772***

Applied Multivariate Statistics II***


EDUC 794E****

Advances in Item Response Theory****


EDUC 821

Advanced Validity Theory and Test Validation



Advanced Psychometric Methods I


Elective Courses: 2 courses required


EDUC 555

Introduction to Statistics and Computer Analysis I


EDUC 619

Qualitative Research Methods in Education


EDUC 625

Classroom Assessment


EDUC 632

Principles of Educational and Psychological Testing


EDUC 633

Education and Public Policy


EDUC 637**

Nonparametric Statistical Analysis in Education and Psychology**


EDUC 650

Regression Analysis


EDUC 707

Generalizability Theory: Principles and Applications


EDUC 727

Scale and Instrument Development


EDUC 751

Scaling Models for Behavioral Sciences


EDUC 756

Advanced Measure Seminar


EDUC 881

Comparative Education


Electives from Psychology or Statistics


Dissertation Credits


Minimum Total Credits


Prerequisite, Concentration, or Other Requirements:

* Prerequisite: EDUC 555

** Prerequisite: EDUC 656

*** Prerequisite: EDUC 771

**** Prerequisite: EDUC 736

Contact Information

Please visit the Research, Educational Measurement and Psychometrics Concentration site for more information.

Concentration Coordinator: Lisa A. Keller (Associate Professor)

Associated Faculty

Lisa A. Keller (Associate Professor), Jennifer Randall (Associate Professor and Interim Associate Dean for Academic Affairs), Stephen G. Sireci (Professor), Craig Wells (Associate Professor), Ronald K. Hambleton (Distinguished University Professor).