EDMS651

General Linear Models II

Prerequisite: EDMS646; or students who have taken courses with comparable content may contact the department. Multiple regression and correlation analysis; trend analysis; hierarchical and stepwise procedures; logistic regression; software for regression analysis.

Fall 2025

Jeffrey Harring

1 review
Average rating: 4.00

Spring 2025

Jeffrey Harring

1 review
Average rating: 4.00

Yang Liu

0 reviews
Average rating: N/A

Past Semesters

Ji Seung Yang

0 reviews
Average rating: N/A

Ji Seung Yang

0 reviews
Average rating: N/A

Yang Liu

0 reviews
Average rating: N/A

Jeffrey Harring

1 review
Average rating: 4.00

Yang Liu

0 reviews
Average rating: N/A

Yang Liu

0 reviews
Average rating: N/A

Ji Seung Yang

0 reviews
Average rating: N/A

Ji Seung Yang

0 reviews
Average rating: N/A

Jeffrey Harring

1 review
Average rating: 4.00

Andre Rupp

0 reviews
Average rating: N/A

Include P/F semesters During the Spring 2020 and Spring 2021 semesters, students could choose to take some of their courses pass-fail mid-semester which skews grade data aggregated across multiple semesters.

Average GPA of 3.44 between 619 students*

A-: 26.17%

A: 27.95%

A+: 6.3%

B-: 4.68%

B: 8.56%

B+: 13.25%

C-: 0.32%

C: 0.32%

C+: 0.97%

F: 0.32%

W: 3.88%

other: 7.27%

* "W"s are considered to be 0.0 quality points. "Other" grades are not factored into GPA calculation. Grade data not guaranteed to be correct.