The Ph.D. in Measurement & Evaluation is designed to prepare graduates for careers in a wide range of educational settings. Graduates acquire specialized knowledge and skills in test theory, test and instrument development and validation, program evaluation, and quantitative analysis of educational and psychological data. Some graduates pursue careers as college professors. Some are employed in city or state departments of education in the planning and supervision of testing programs and research and evaluation projects. Others work for test publishers, licensure and certification boards, and government agencies in the construction of tests or in the management of large-scale testing programs. Still others work in evaluation, research design, and statistics in contrast research firms, as well as health care and business settings.
A doctorate is required for most college teaching positions and for positions of professional responsibility in testing organizations, departments of education, and licensure and certification boards. The Ph.D. is appropriate for individuals with strong quantitative and technical skills who wish to focus on theoretical issues in measurement and evaluation or who have a strong background in a substantive area of psychology in which they wish to further the development and application of measurement techniques.
Both the Ed.D. and Ph.D. are accepted as qualification for faculty positions in schools of education in the United States.
Measurement Core (15 points):
HUDM 5059 Psychological measurement (3)
HUDM 5124 Multidimensional scaling and clustering (3)
HUDM 6051 Psychometric theory I (3)
HUDM 6052 Psychometric theory II (3)
HUDM 6055 Latent structure analysis (3)
Evaluation Core (9 points):
HUDM 5130 Meta-analysis (3)
HUDM 5133 Causal inference for program evaluation (3)
ORLJ 5040 Research methods in social psychology (3)
Quantitative Methods Core (21 points):
MSTM 5030 Topics in probability theory (3)
HUDM 4125 Statistical inference (3)
HUDM 5123 Linear models and experimental design (3)
HUDM 5126 Linear models and regression analysis (3)
HUDM 6026 Computational Statistics (3)
HUDM 6030 Multilevel and longitudinal data analysis (3)
HUDM 6122 Multivariate analysis I (3)
Measurement, Evaluation, and Statistics Electives (18 points):
In consultation with an advisor, students can select courses from the following list, as well as more generally from courses offered at other departments and schools at Columbia University:
HUDM 5058 Choice and decision making (3)
P8120 Analysis of categorical data (3) (at Mailman School of Public Health)
P8121 Generalized linear models (3) (at Mailman School of Public Health)
W4640 Bayesian statistics (3) (at the Columbia Statistics Program)
HUDM 5250 Research practicum in measurement and evaluation (0-4)
Psychology (minimum of 9 points):
In consultation with an advisor, a group of courses aimed at substantive preparation in the field of psychology.
Dissertation Advisement and Seminar (minimum of 3 points):
HUDM 7500* Dissertation seminar (1-3 credits each for two semesters) HUDM 8900 Dissertation advisement (0)
The first two years require full-time study. In addition to the above coursework, an approved empirical paper, an approved theoretical research paper, successful performance on the certification examination, and completion of an approved doctoral dissertation are required for the Ph.D.
The M.Phil. is an en passant degree awarded to those nearing the completion of the Ph.D. degree. Students contact the Office of Doctoral Studies to file for award of the degree.
To receive the M.Phil., the student must satisfactorily complete the following requirements:
Register for courses through Teachers College and maintain continuous registration.
File in the Office of Doctoral Studies an approved Program Plan of Study, including transfer credit.
Complete not less than six courses with evaluative grades, under Teachers College registration, with a minimum composite grade decile of 6.
Pass the departmental Certification Examination (i.e., Research Methods Examination).
Complete an approved empirical research paper and an approved theoretical research paper.
Satisfactorily complete a minimum of 75 points of graduate credit, as indicated on the Program Plan (some programs exceed this minimum), and all program requirements for the Master of Philosophy degree.
Be recommended by the program advisor and department chair for the award of the M.Phil. degree, which signifies certification as a Ph.D. degree candidate who may continue the dissertation requirement under the auspices of the Teachers College faculty.
Candidates should provide copies of the program plan and both research papers to the Department of Human Development for inclusion in the student’s records.
Relevant courses completed in other recognized graduate schools to a maximum of 30 points, or 45 points if completed in another Faculty of Columbia University, may be accepted toward the minimum point requirement for the degree.
Only completed graduate courses with earned grades of B or higher that appear on the student’s transcript from a regionally accredited institution may be considered for transfer credit.
The student files a “Request for an Allocation of Graduate Credit” with the Office of the Registrar. Once the Registrar's Office determines the eligibility of courses for transfer, final determination of transfer credit is awarded at the discretion of the faculty advisor after evaluation of the courses for content and relevance to program requirements. The Office of the Registrar notifies the student of the results.
Students are expected to make satisfactory progress toward the completion of degree requirements. Program faculty annually review each student’s progress. Where there are concerns about satisfactory progress, students will be informed by the program faculty. If a student is performing below expectations, remedial work within an appropriate timeline may be required. If satisfactory progress is not maintained, a student may be dismissed from the program.