http://sites.education.miami.edu/research-measurement-evaluation-ph-d/

The curriculum of the Ph.D. in RME is structured around six components: (A) a core set of 36 credits (12 courses of 3 credits each) of required coursework covering the fundamentals of research design, measurement, and statistical analysis; (B) 6 credits of a research apprenticeship, in which students conduct mentored research under the supervision of RME faculty members; (C) 6 credits of field experience in educational research, in which students play active roles in the design and analysis of an applied research or evaluation projects; (D) the doctoral qualifying exam; (E) 12 credits of the doctoral dissertation and (F) 6 credits of electives (12 credits of electives for students who do not hold a master degree).

Application Requirements

Admission to all graduate-degree concentrations in the School of Education and Human Development is based on the recommendation of the faculty. Admissions decisions are based on faculty review of the following general requirements that apply to all Graduate Programs in the School as well as specific documents listed under each concentration.

Applicants must:

  • achieve acceptable scores on the Graduate Record Exam (GRE) taken within the past five years. International applicants whose native language is not English or applicants whose degrees are from a non-U.S. University must pass the Test of English as a Foreign Language (TOEFL) or International English Language Testing Systems (IELTS) and the GRE;
  • provide official transcripts showing completion of a bachelor’s degree from an accredited institution and an acceptable undergraduate grade point average. A minimum of 3.0 undergraduate GPA is required. Official transcripts from every institution attended by an applicant, whether or not the applicant completed a degree program at the institution, are required;
  • provide three letters of recommendation that address the issues and meet the criteria established by the program being applied to;
  • provide a personal statement that addresses the mission and purpose of the program being applied to;
  • resume;
  • take part in an admissions interview (required by some programs); and
  • exhibit personal and professional experiences and characteristics that are relevant to the profession and/or field and/or degree program for which the application is being submitted.

Doctor of Philosophy (Ph.D.)

In addition to the factors listed as general requirements for all applications to the SEHD’s graduate programs, consideration for admission to the Ph.D. program will include the following:

  • letters of recommendation should address the applicant’s academic potential;
  • available student space in the program;

International Applications

All international applications must provide additional information and meet additional requirements as required by the UM Graduate School and the Office of International Student and Scholar Services. For an appropriate link to these requirements, please visit the Graduate School website.

Admission Decision

Once an applicant has been admitted to graduate study, that individual should meet with the faculty advisor who was appointed to serve in that capacity and whose name appears in the admissions letter. This advisor will help the student enroll in courses that are appropriate to the program; to develop and to refine a Program of Study that must be on file in the Office of Graduate Studies by the end of the first academic year of enrollment.

Honor Code/Handbook of Policies and Procedures

The School of Education and Human Development follows the Graduate School’s Honor Code. All students are required to review the Graduate Student Honor Code and the School of Education and Human Development’s Handbook of Policies and Procedures for Graduate Students and submit the signed Acknowledgement of Receipt located on page 3 by the end of their first semester of enrollment.

Curriculum Requirements

Core Courses36
Quantitative Methods I
Introduction to Research Methods
Quantitative Methods II
Applied Multivariate Statistics
Computer Applications in Educational and Behavioral Science Research
Measurement and Psychometric Theory
Categorical Data Analysis
Item Response Theory
An Introduction to Structural Equation Modeling for Multivariable Data
Introduction to Multilevel Modeling
Meta-Analytic Methods for Research Synthesis
Advanced Topics in Research, Measurement, and Evaluation
Research Apprenticeship6
Advanced Individual Study II 1
For a minimum of 6 research apprenticeship credits, students work under the mentorship of RME faculty members (or approved faculty members outside of RME) on original studies pertinent to research, measurement, and evaluation. It is expected that the work completed during the apprenticeship culminates in a manuscript that is suitable for publication in an academic journal. The 6 credits of apprenticeship are documented as two 3-credit blocks of EPS799 (Advanced Individual Study, Form for registering for EPS799 can be found on the SEHD website under the resource tab; and the research apprenticeship must be completed prior to the commencement of dissertation hours (EPS830).
Field Experience in Educational Research6
Field Experience in Educational Research 1
Students must complete a minimum of 6 credits in field experience related to educational research. The field experience involves providing methodological assistance to a research or evaluation project at the University of Miami or other approved organization (e.g., the evaluation division of Miami-Date County Public Schools). The nature of the field experience must be approved by the student’s advisor prior to commencing the credit hours. The field experience credits are currently documented as EPS712.
Doctoral Qualifying Exam
Students must successfully pass the doctoral qualifying exam prior to the commencement of the doctoral dissertation.
Dissertation Hours12
Pre-Candidacy Dissertation Research
Post-Candidacy Dissertation Research
Electives 1 2 3 46-12
Upon the approval of academic advisor, courses outside program may be taken for a minimum of 6 credit hours (course examples are shown below).
Field Experience in Educational Research
Qualitative Methods I
Qualitative Methods II: Case Studies and Grounded Theory
Qualitative Methods II: Interviews and Content Analysis
Advanced Individual Study II
Total Credit Hours66-72

This is a sample Plan of Study. Your actual course sequence may vary depending on your previous academic experience as well as current course offerings. Students should meet with their academic advisor each semester to determine the appropriate course selection.

Sample Plan of Study

Plan of Study Grid
Year One
FallCredit Hours
EPS 700 Quantitative Methods I 3
EPS 701 Introduction to Research Methods 3
EPS 707 Item Response Theory 3
 Credit Hours9
Spring
EPS 699 Advanced Individual Study I 3
EPS 702 Quantitative Methods II 3
EPS 703 Applied Multivariate Statistics 3
 Credit Hours9
Summer
EPS 704 Computer Applications in Educational and Behavioral Science Research 3
EPS 799 Advanced Individual Study II 3
 Credit Hours6
Year Two
Fall
EPS 709 Introduction to Multilevel Modeling 3
EPS 710 Meta-Analytic Methods for Research Synthesis 3
EPS 799 Advanced Individual Study II 3
 Credit Hours9
Spring
EPS 705 Measurement and Psychometric Theory 3
EPS 706 Categorical Data Analysis 3
EPS 708 An Introduction to Structural Equation Modeling for Multivariable Data 3
 Credit Hours9
Year Three
Fall
BST 605 Statistical Principles of Clinical Trials 3
EPS 711 Advanced Topics in Research, Measurement, and Evaluation 3
EPS 712 Field Experience in Educational Research 3
 Credit Hours9
Spring
ATM 624 Applied Data Analysis 3
EPS 712 Field Experience in Educational Research 3
NUR 630 Research Methods and Evidence-Based Practice 3
 Credit Hours9
Year Four
Fall
EPS 830 Pre-Candidacy Dissertation Research 3
 Credit Hours3
Spring
EPS 830 Pre-Candidacy Dissertation Research 3
 Credit Hours3
Year Five
Fall
EPS 840 Post-Candidacy Dissertation Research 3
 Credit Hours3
Spring
EPS 840 Post-Candidacy Dissertation Research 3
 Credit Hours3
 Total Credit Hours72

Mission

The mission of the RME doctoral program is to provide students with the requisite training in the application of statistical and measurement methodologies to conduct original research in the fields of educational research and measurement methodology, and to serve as experts in the areas of research design, data analysis, and measurement.

 Goals

Student Learning Outcomes

  • Students will demonstrate mastery of the computer programing skills that is required for conducting research project using computer simulation in R.
  • Students will conduct original research in the field of statistical and measurement methodology.
  • Students will demonstrate the ability to provide methodological consultation.