Doctor of Philosophy (Ph.D.)
educational research, measurement, and evaluation
Coordinator: Dr. Larry Ludlow
ERME has been training students to examine educational programs, design quantitative research studies, develop assessment instruments, and analyze educational data to help inform policy-making for over 40 years.
The doctoral curriculum emphasizes research methodology and data analysis and includes advanced coursework in research design, statistical methods, and testing and assessment as well as seminars in statistical and measurement topics. ERME students have the opportunity to tailor coursework to their particular interests and background. The doctoral degree requires a minimum of 54 credits beyond the M.Ed. and satisfactory completion of comprehensive exams and a dissertation.
The ERME program admits up to 6 Ph.D. students each year. Each year, the program usually receives at least 40 applications. Approximately half of our doctoral students are completing their coursework requirements, while the other half are working on their dissertations.
During their coursework, all doctoral students are enrolled full-time. Often our current M.Ed. students apply for admission to the Ph.D. program. At least one M.Ed. student has been accepted into the ERME Ph.D. program for each of the past five years.
To Apply to ERME: visit the LSOE Graduate Admissions site.
Courses cover three main focus areas:
Research design & methods
- Interpretation and evaluation of research
- Program evaluation I & II
- Design of experiments
- Survey research methods
- Seminars in educational measurement and research
- Introductory and intermediate statistics
- General linear models
- Multivariate statistics
- Psychometric theory I & II
- Multilevel models
- Seminars in statistical and measurement topics
Testing & assessment
- Classroom assessment
- Large scale assessment
- Public policy
- Seminar on current issues in testing and assessment
- Technology Enhanced Assessment
* Students may also conduct an independent study to pursue a particular area of interest.