## Y604: Multivariate Analysis in Educational Research

### Class Description

This course is based on the premise that the function of statistics is to formulate arguments for explaining comparative differences and relationships or patterns in data. This course focuses on the General Linear Model (GLM) and its extensions, and the various forms it takes in the multivariate context (OLS regression, Manova, Discriminant Function Analysis, Exploratory and Confirmatory Factor Analysis and intro. to SEM). The form of the models will be discussed in relationship to the particular research questions for which they are appropriate. The limitations, assumptions and unresolved issues of the models will be examined.

### Class Information

**School/Department: **Education

**Semester(s): **Fall

**Year(s) Offered: **_2018

**Class time: **
Tuesday, Thursday : 11:15AM - 12:30PM

**Website: **http://oncourse.iu.edu

**Capacity: ** 21

**Instructor: **Ginette Delandshere - gdelands@indiana.edu

### Other Details

**Sequence: ** EDUC-Y502 or other introductory course in statistics as pre-requisite

**Prerequisites: ** 1 semester of graduate coursework in Statistics

**Algebra Required?: ** For notation, for understanding concepts and for some homework

**Calculus Required?: ** No

**Day(s) per week offered: ** 2 days per week, usually Tue/Thur and one hour per week of computer lab

**Recommended follow-up classes: ** Depends on research interests? Y604 is a pre-requisite for Y637, Y639, Y645 and Y655

**Substantive Orientation: ** Social sciences but other students (e.g., biology, geography) have also found the course useful

**Statistical Orientation: ** Frequentist.

**Books used: ** Tabacknick, B. G. and Fidell, L. S. (2013). Using Multivariate Statistics, Sixth Edition. Upper Saddle River, NJ: Pearson Education, Inc. http://wps.ablongman.com/ab_tabachnick_multistats_6/

**Applied/Theoretical: ** This is an applied course (conceptual and critical).

**Software Used: **
LISREL, MPlus, R, SPSS, SAS

**How the software is used: ** Computation and data analysis and some programming

**Problem Sets: ** Yes, with a mix of theoretical/conceptual/analytic problems and applied, data analysis.

**Data Analysis: ** Yes, for assignments

**Presentations: ** No

**Exams: ** Yes, there are two take-home exams

**Keywords: ** Multivariate Analysis, General Linear Model and extensions, regression, factor analysis, structural equation models.

**Comments: ** To enroll in this class see EDUC-BE 604. Co-requisite - EDUC-Y 500, same cluster. Above class requires permission of department. Open to graduates only.