## Q602 : Multivariate Statistical Analysis

### Class Description

It primarily focuses on the General Linear Model (GLM) and the various forms it takes in the multivariate context. The topics include matrix algebra, data screening, multiple regression, multivariate analysis of variance, discriminant function analysis, logistic regression, principal components analysis, and exploratory factor analysis. In addition, a weekly lab session is provided where students can learn SAS program.

### Class Information

**Semester(s): **SpringFall

**Semester(s) Offered: ** Spring, Fall

**Class time: **
Monday, Wednesday

**Lab time: **
Friday

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

**Capacity: ** 30

### Contact Information

**Instructor: **TBD

**Other Contact(s): ** Zhongxue Chen - zc3@indiana.edu

### Other Details

**Sequence: ** Q601, Q603, Q611, Q612

**Prerequisites: ** At least two graduate-level statistics courses with a B or higher grade

**Algebra Required?: ** Used for notation/homework

**Calculus Required?: ** User for notation/homework

**Day(s) per week offered: ** Two lectures a week and a computer lab

**Recommended follow-up classes: ** Multilevel modeling, structural equations modeling, categorical data analysis courses

**Substantive Orientation: ** Public Health, Behavioral Sciences

**Statistical Orientation: ** ?

**Applied/Theoretical: ** applied with explanations (not derivations) of statistical foundations.

**Software Used: **
SPSS, SAS

**How the software is used: ** data analysis, data management.

**Problem Sets: ** Yes, most requiring analysis and interpretation of data. Also, data management/manipulation.

**Data Analysis: ** Yes in homework and take-home portion of each exam.

**Presentations: ** No.

**Exams: ** Yes, there is a mid-term and a final.

**Keywords: ** matrix algebra, data screening, multiple regression, multivariate analysis of variance, discriminant function analysis, logistic regression, principal components analysis, exploratory factor analysis, SAS.