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.

Spring 2023

Jeffrey Harring

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Shujin Zhong

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Fall 2022

Gregory Hancock

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Shujin Zhong

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Spring 2022

Jeffrey Harring

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Past Semesters

Hong Jiao

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Ji Seung Yang

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Jeffrey Patton

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Tracy Sweet

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Yang Liu

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George Macready

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Mark Lachowicz

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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.