Degree Requirements – Quantitative Methods Doctoral Program

The Program Requirements below refer to students entering in the 2017-2019 Academic Years. Required coursework for previous and subsequent years may vary. Current students should refer to their Program of Work for course requirements.

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. May be waived with passing grade on EDP Statistics Proficiency Exam (exam is offered during new student orientation).
  • 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.4 Child and Adolescent Social, Emotional, and Cognitive Development
  • EDP 382F.2 Individual Through the Life Cycle

Learning Foundation Courses (Choose 1):

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

II. Quantitative Methods Program Courses (36 hours)

  • EDP 380D.6 Program Evaluation Models & Techniques
  • EDP 380C.14 Structural Equation Modeling
  • EDP 380C.16 Hierarchical Linear Modeling
  • EDP 380C.20 Data Analysis and Simulation in R
  • EDP 380C.8 Data Analysis Using SAS
  • EDP 380D.8 Item Response Theory
  • EDP 380D.14 Applied Psychometrics
  • EDP 381C.14 Causal Inference
  • EDP 380C Missing Data Analysis
  • EDP 380C.12 Survey of Multivariate Methods

An additional 4 QM program electives must also be chosen from the following:

  • EDP 380C.18 Applied Bayesian Analysis
  • EDP 380D.18 Advanced Psychometrics Research
  • EDP 380D.12 Computer-Based Testing
  • EDP 381E Advanced Item Response Theory
  • EDP 381C.12 Meta-Analysis
  • EDP 381D Advanced Statistical Modeling
  • EDP 380C.22 Analysis of Categorical Data

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

The Graduate School requires doctoral students 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 in another EDP program area outside HDCLS or outside of the department

IV. Qualifying Process & Dissertation (13+ hours)

  • Qualifying Process: EDP 395R Qualifying Process Research (2 semesters, no later than the semester in which turn in qualifying document)
  • Department Colloquium: EDP 194.4 Doctoral Research Colloquium (after application for candidacy)
  • Dissertation: EDP 3/6/999W Dissertation, beginning the semester following advancement to candidacy.

En-Route Masters

Beginning Fall 2014, all EDP doctoral students admitted without a master’s in the field must complete an en-route master’s 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.