EDMS646

General Linear Models I

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Prerequisite: EDMS645; or an equivalent introductory statistics course. A first post-introductory inferential statistics course, with emphasis on analysis of variance procedures and designs from within the general linear modeling framework. Assignments include student analysis of education and related data; application of statistical software packages is emphasized.

Fall 2024

Tessa Johnson

0 reviews
Average rating: N/A

Spring 2024

Jeffrey Harring

1 review
Average rating: 4.00

Fall 2023

Jeffrey Harring

1 review
Average rating: 4.00

Spring 2023

Jeffrey Harring

1 review
Average rating: 4.00

Shujin Zhong

0 reviews
Average rating: N/A

Past Semesters

Hong Jiao

1 review
Average rating: 3.00

Ji Seung Yang

0 reviews
Average rating: N/A

Jeffrey Patton

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Tracy Sweet

0 reviews
Average rating: N/A

Yang Liu

1 review
Average rating: 5.00

George Macready

0 reviews
Average rating: N/A

Jeffrey Harring

1 review
Average rating: 4.00

Mark Lachowicz

0 reviews
Average rating: N/A

Gregory Hancock

0 reviews
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Shujin Zhong

0 reviews
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* "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.