EDMS651

General Linear Models II

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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 2024

Ji Seung Yang

0 reviews
Average rating: N/A

Spring 2024

Ji Seung Yang

0 reviews
Average rating: N/A

Yang Liu

1 review
Average rating: 5.00

Fall 2023

Jeffrey Harring

1 review
Average rating: 4.00

Spring 2023

Yang Liu

1 review
Average rating: 5.00

Past Semesters

Jeffrey Harring

1 review
Average rating: 4.00

Ji Seung Yang

0 reviews
Average rating: N/A

Andre Rupp

0 reviews
Average rating: N/A

Ji Seung Yang

0 reviews
Average rating: N/A

Yang Liu

1 review
Average rating: 5.00

* "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.