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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
Overview

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  

ETS

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

Statistics

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)

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

In line with accreditation standards and with our program mission, the following are the expected student learning outcomes upon completion of the program.

  • Understand the theory of research, evaluation, statistics, measurement and assessment methodology
  • Critically analyze published quantitative and qualitative research
  • Interpret and report quantitative and qualitative designs, procedures, and results
  • Communicate research findings effectively

In line with accreditation standards and with our program mission, the following are the expected student learning outcomes upon completion of the program.

  • Understand the theory of applied statistics and psychometrics
  • Conduct analyses using advanced procedures such as multiple regression, multivariate models, hierarchical linear modeling, causal modeling, and longitudinal analyses
  • Interpret and report quantitative and qualitative designs, procedures, and results
  • Design, conduct, analyze, interpret and report both Classical Test Theory and Item Response Theory analyses
  • Communicate research findings effectively
Credits 30 30
Completion Generally completed in 2 years, although it is possible to complete in 1 full year. Generally completed in 2 full years, although a 3rd year may be necessary.
Coordinator Dr. Larry Ludlow Dr. Henry Braun


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.