Course Description
This course focuses on the use of regression-based techniques to examine problems and issues in higher education.
Athena Title
Quant Methods Higher Ed II
Prerequisite
EDHI 8910
Pre or Corequisite
ERSH 8320 or ERSH 8320E
Corequisite
EDHI 8920L
Semester Course Offered
Offered spring
Grading System
A - F (Traditional)
Student learning Outcomes
- In this course students will learn to compare different modeling approaches and terminology used in quantitative studies of higher education.
- In this course students will learn to provide systematic, problem-based exposure to large-scale secondary data sources in higher education.
- In this course students will learn to develop a conceptual understanding of sampling and measurement issues associated with large-scale secondary datasets in higher education.
- In this course students will learn to identify, understand, and correctly apply the major concepts of regression analysis and model building.
Topical Outline
- 1. Correlation and covariance
- 2. Linear regression with one variable
- 3. Linear regression with more than one variable
- 4. Categorical independent variables
- 5. Non-linear regression
- 6. Logistic regression
- 7. Regression model diagnostics
