Ph.D. Program
Areas of Emphasis for the Ph.D. Program
Students can emphasize one or more of the following areas in the Ph.D. program:
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Quantitative and Statistical Methods
These students are typically interested in learning advanced statistical methods with the goal of further developing and applying them in real-world situations: for example, in education, public policy, sociology, psychology, and biomedicine.
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Evaluation
These students are typically interested in learning a variety of research methods with the goal of further developing and applying them towards evaluative settings in education, public policy, and other institutional and organizational settings.
- Qualitative Methods
Ph.D. Course Requirements (19 courses)
SRM Core (13 courses)
If an applicant has already taken the equivalent of one or more of the courses, he/she can substitute other courses.
- Ed230A: Introduction to Research Design and Statistics
- Ed230B: Linear Stat Models in Social Science Research: Multiple Regression Analysis
- Ed230C: Linear Stat Models in Social Science Research: Analysis of Design Experiments
- Ed222A: Introduction to Qualitative Methods and Design Issues in Educational Research
- Ed233A/B or Ed226: One course in professional writing series
- Ed243: Philosophical Foundations of Research
- Ed299A/B/C: Research Practicum in Education
- One course in measurement (from the Ed 211 series, an Ed 255 course with a measurement focus, or a measurement course offered in the Psychology Department). Students chosing an emphasis in Qualitative Methods may substitute the measurement course for another course (for example, in evaluation) with approval from the advisor.
- Cognate (3 courses): The cognate consists of three courses in a student's area of interest that are taken in departments outside of the Department of Education. Typical cognate areas might be in statistics, psychology, anthropology, sociology, economics, political science, management or public policy.
Elective Courses (6 courses)
- Students are expected to complete at least six additional courses chosen to enhance their desired area of SRM expertise (e.g. Quantitative Methods, Qualitative Methods, Measurement, Evaluation, Research Writing). Course selections are to be determined in consultation with the student's advisor.
- Research Apprenticeship Course (RAC, Ed 288): All students are encouraged to participate in at least one full year of a Research Apprenticeship Course (RAC). RAC counts as one course.
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Qualifying Exams
Students in the Ph.D. program take the doctoral qualifying exam upon completion of their coursework. The doctoral qualifying exam is the last step before students begin working on their doctoral dissertations. The qualifying exam in SRM consists of a take-home, open-book exam covering students' coursework and a brief oral follow-up. The exam is tailored to each students' coursework and training in the program.
Dissertation
The final requirement of the Ph.D. program is the dissertation. The dissertation is an independent study, conducted under the supervision of the dissertation committee chair, that makes a contribution to the field of education.
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Admissions Information
Students in SRM come primarily from undergraduate and masters programs in the social and behavioral sciences and mathematics. The SRM faculty consider the following elements in evaluating applicants for admission:
- academic promise as evidenced by GPA, GRE scores, experience,
and letters of recommendation
- Interests and experiences consistent with the goals of SRM
For further information, contact the Division Assistant:
Kim Mattheussens
GSEIS @ UCLA
2005 Moore Hall
Los Angeles, CA 90095-1521
310-825-2817
Application materials and information on deadlines are available from the
Office of Student Services:
UCLA Graduate School of Education & Information Studies
Department of Education
Office of Student Services
Mailbox 951521
Los Angeles, CA 90095 -1521
phone: 310-825-8326
email:info@gseis.ucla.edu
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