Required Courses – Quantitative Methods Doctoral Program

Please note required coursework may vary from year to year. Current students should always defer to their Program of Work for course requirements and consult with their faculty advisor / Graduate Advisor for any needed clarifications.

Quantitative Methods doctoral students are required to complete: 

  1. EDP Foundation courses,
  2. QM Program courses, 
  3. Out-of-Specialization courses, and
  4. Qualifying Process and Dissertation coursework.

Student coursework may vary depending on prior graduate coursework and waivers. All required courses must be completed with a grade of at least B-. 

Note: the first digit in a Course Number denotes the number of credit hours of the course. Example: EDP 480C Correlation & Regression Methods = 4 credit hours.

I. EDP Foundation Courses (23 credit hours)

The Educational Psychology Foundation courses represent foundational knowledge in educational psychology, and reflect basic knowledge in the breadth of scientific psychology, its history of thought and development, research methods, and applications. Foundation courses must be completed prior to the Qualifying Process.

A. Methods Foundation (17 hours)

  • Prerequisite Course: EDP 380C.2 Fundamental Statistics: prerequisite for all Methods courses.
  • EDP 480C.6 Statistical Analysis for Experimental Data
  • EDP 380D.4 Psychometric Theory and Methods
  • EDP 480C.4 Correlation & Regression Methods
  • EDP 381C.2 Research Design & Methods for Psychology and Education

B. Development & Learning Foundation (6 hours)

Human Development & Social Foundation Courses (Choose 1):

  • EDP 382C.2 Social Psychology
  • EDP 382F.3 Life Span Development

Learning Foundation Courses (Choose 1):

  • EDP 382D.4 Psychology of Learning
  • EDP 382D.6 Motivation and Emotion
  • EDP 382D Instructional Psychology

II. Quantitative Methods Program Courses (30 hours)

  • EDP 380D.6 Program Evaluation Models & Techniques
  • EDP 380C.8 Data Analysis Using SAS
  • EDP 380C Data Exploration and Visualization in R
  • EDP 380C Statistical Modeling and Simulation in R
  • EDP 380C.14 Structural Equation Modeling
  • EDP 380C.16 Hierarchical Linear Modeling
  • EDP 380C.12 Survey of Multivariate Methods
  • EDP 380C.23 Missing Data Analysis
  • EDP 380D.8 Item Response Theory
  • EDP 380D.14 Applied Psychometrics
  • EDP 381C.14 Causal Inference

III. Program Electives (12 hours)

An additional 4 QM program electives must also be chosen from the following (or alternative QM program elective approved by Area Chair):

  • EDP 380C.18 Applied Bayesian Analysis
  • EDP 380D.18 Advanced Psychometrics Research
  • EDP 380D.11 Computer Adaptive Testing
  • EDP 381E Advanced Item Response Theory
  • EDP 381C.12 Meta-Analysis
  • EDP 381D Advanced Statistical Modeling
  • EDP 380C.22 Analysis of Categorical Data
  • EDP 380D.10 Test and Scale Construction

IV. Out-of-Specialization Courses (9 hours)

The Graduate School requires doctoral students to complete 9 hours of coursework outside of their area of specialization. These courses are an opportunity to enhance research/clinical interests and form relationships with out-of-area faculty; course choice must be approved by faculty adviser.

  • 1 course (minimum 3 hours) taken outside of the EDP department
  • 2 courses (minimum 6 hours) taken either outside of the EDP department, or an EDP program area outside QM.
  • At least 1 must be taken for a letter grade

V. Qualifying Process & Dissertation (12+ hours)

  • Qualifying Process: EDP 395R Qualifying Process Research (2 semesters, no later than the semester in which turn in the Qualifying Document)
  • Dissertation: EDP 3/6/999W Dissertation, beginning the semester following advancement to candidacy.

En-Route Masters

EDP doctoral students admitted without a master’s in the field must complete an en-route master’s degree before receiving the doctoral degree. See the En-Route Master’s page for requirements.

Doctoral Portfolio Programs (Optional)

Portfolio programs are optional opportunities for doctoral graduate students to obtain credentials in a cross-disciplinary academic area of inquiry while they are completing the requirements for a degree in a particular discipline. A portfolio program usually consists of four thematically related graduate courses and a research presentation.