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Research & Evaluation Ph.D.

The Research and Evaluation in Education Ph.D. option, represents an entirely new offering at the School of Education, and seeks to prepare individuals with expertise in research methods and program evaluation skills. The Ph.D. requires a minimum of 60 credits beyond the master's degree. The degree is designed to not only provide core knowledge, but to heighten the research skills of candidates by requiring them to work closely with faculty in research experiences prior to commencing their own dissertation. While gaining core knowledge and skills in design and analysis, candidates choose to specialize in one of the following: program evaluation, qualitative or quantitative analysis.

The program is designed for full-time study and a limited number of teaching assistantships and research assistantships are available. Part-time study is also available with approval of program faculty. Graduates of the program will be equipped to assume research faculty positions in higher education, to work in policy and research institutions or to lend their skills to analysis and evaluation in industry.

A description of the degree, together with admission requirements may be found in the Ph.D. Research and Evaluation Handbook (pdf).

To apply to this program please go to the UMass Lowell Office of Graduate Admissions website.

Questions about the Ph.D. should be sent to the doctoral coordinator James_Nehring@uml.edu.

You will need Adobe Acrobat Reader to view any pdf files. It can be download for free from the Adobe website.

Program Faculty

  • James Carifio, Ed.D.

    Professor, Research and Evaluation in Education

    Curriculum & Instruction

  • Judith Davidson, Ph.D.

    Associate Professor, Research and Evaluation in Education

    Curriculum and Instruction, Gender Studies

  • Jill Lohmeier, Ph.D.

    Associate Professor, Research and Evaluation in Education

  • Xiaoxia Newton, Ph.D.

    Associate Professor, Research and Evaluation in Education

    Research Methods (Multilevel Modeling Analysis), Program Evaluation (Logic Modeling), Mathematical Content Understanding and STEM education.