Course Description
Philosophy of diagnostics models, DINA/DINO model, RUM, Log-Linear Cognitive Diagnosis Model, Test Construction, Estimation of Diagnostic Models, Application of Diagnostic Models. Prerequisite: ERM 769.
Syllabus
Student Learning Outcomes, Goals, Objectives:
Students successfully completing this course will be able to:
- Understand the basic assumptions and conditions for the use of Diagnostic Classification Models.
- Differentiate the uses for and understand the different types of models.
- Analyze the mathematical models used for diagnostic classification models and their assumptions.
- Evaluate the appropriate uses for each of the different mathematical models.
- Interpret the results from a diagnostic classification computer analyses.
- Evaluate the fit of a diagnostic model when fitting these models to data sets of examinee responses to a set of questions such as an exam.
Course Grading Information:
| Activity/Performance Measure | Percentage/Points |
|---|---|
| Assignments and presentations | 70% |
| Project with presentation | 30% |
Attendance/Participation:
Attendance/participation is not a graded component included in the student's final grade for this course.
Course Materials Purchased by the Students:
No course materials are required.
Scholarly Perspectives
This course engages diverse scholarly perspectives to develop critical thinking, analysis, and debate and inclusion of a reading does not imply endorsement.