|
Dec 26, 2024
|
|
|
|
EDRE 7600 - Multivariate Statistical Methods in Education Course topics include multivariate methods in educational statistics, statistical modeling, extensions of the general linear model, and the use of computer statistical packages.
Requisites: EDRE 7210 Credit Hours: 4 Repeat/Retake Information: May not be retaken. Lecture/Lab Hours: 4.0 lecture Grades: Eligible Grades: A-F,CR,PR,WP,WF,WN,FN,AU,I Learning Outcomes: - Students will be able to use descriptive, graphical, and both applied univariate and multivariate inferential statistical methods for appropriate purposes within the research process.
- Students will be able to integrate knowledge of univariate statistical methods, hypothesis testing, and research design as needed within applied advanced/multivariate statistical analyses.
- Students will be able to describe the purposes and limitations of, perform, and interpret applied advanced/multivariate statistical methods (including General Linear Model and other advanced modeling procedures).
- Students will be able to use at least one computer package (e.g., SPSS, R, AMOS) to perform and interpret applied advanced/multivariate statistical analyses, including screening data, assumptions, post hoc analyses.
- Students will be able to evaluate quantitative research methods and advanced statistical analyses reported in published research articles and manuscripts.
- Students will be able to interpret and communicate effectively about applied advanced/multivariate research designs and statistical analyses as part of the research process (e.g., problem, method, results, and conclusions).
Add to Portfolio (opens a new window)
|
|