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Lynch School of Education

Master's Programs

educational research, measurement, and evaluation

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 50 years. Our geographic proximity to the concentration of academic and nonprofit institutions in the Greater Boston and Northeast region—and our extraordinary alumni network—provide significant opportunities to enhance your professional career. 



      ERME M.Ed.       


ERME M.S. in Applied Statistics and Psychometrics

The M.Ed. in Educational Research, Measurement and Evaluation focuses on a balanced curriculum of both
quantitative and qualitative coursework, as well as the opportunity to explore
professional interests through electives.

Several job titles of our M.Ed. alumni are:Research Analysts, Data Quality Managers, Vice President of Enrollment, Institutional Officer, Director of Admissions, Evaluation Specialist within a range of industries, and companies such as:

Education Development Center

Maguire Associates (Higher Education Consulting)

The Center for Effective Philantrophy  

Forrester (Market Research)  

Wellesley Public Schools





The M.S. in Applied Statistics and Psychometrics meets the need for quantitative specialists to conduct statistical analyses, design quantitative research studies, and develop measurement scales for educational, social, behavioral, and health science research projects.

Employers and doctoral programs in education, psychology, social work, nursing, and sociology are seeking graduates trained in technical quantitative analysis. Federally funded and nonprofit agencies have set rigorous expectations in research methodology and data analysis for the studies they fund.



Course Content

Research Design


Assessment and Test Construction 

Large Scale Data Collection

Program Evaluation

Multiple regression and multivariate models

Hierarchical linear models

Causal modeling and longitudinal analyses

Missing data, data transformations, and model fit procedures

Psychometric models   (e.g., classical test theory, rasch models, and item response theory)

Credits 30 30
Completion Generally completed in 2 years, although it is possible to complete in 1 full year. At least 2 full years; 3 years is recommended.
Coordinator Dr. Larry Ludlow Dr. Henry Braun


** Both degrees require a satisfactory performance on a comprehensive exam after coursework completion. 

Please review Programs of Study and Course Offerings for detailed information regarding required coursework for each degree.

 To Apply to ERME: visit the LSOE Graduate Admissions site.