Measurement, Statistics and Evaluation, Doctor of Philosophy (Ph.D.)

Doctoral students are required to complete 66 credits including 12 credits of EDMS899 and 21 credits of electives.

The Ph.D. program requires both preliminary and comprehensive examinations; the comprehensive examination is designed to assess broad, integrated understanding as well as the student's specialization. All students are expected to engage in research. Measurement, Statistics and Evaluation does not currently offer the Ed.D. degree.

Course Title Credits
Required courses:
EDMS623Applied Measurement: Issues and Practices3
EDMS626Instrumentation3
EDMS646General Linear Models I3
EDMS647Causal Inference and Evaluation Methods3
EDMS651General Linear Models II3
EDMS655Introduction to Multilevel Modeling3
EDMS657Exploratory Latent and Composite Variable Methods3
EDMS722Structural Modeling3
EDMS724Modern Measurement Theory3
EDMS779Seminar in Applied Statistics3
EDMS787Bayesian Inference and Analysis3
Electives21
Dissertation Research Requirements
EDMS899Doctoral Dissertation Research12
Total Credits66