Multivariate Statistical Methods: Practical Research Applications

Classroom duration: 3.0 days Live Web duration: 6 half-day sessions Please note the System Requirements below. Course fee: $2,175 EPTO units: 4.2 CEUs: 1.8

This outline is provisional and subject to change.

This course teaches how to apply a variety of multivariate statistical methods to research data.

Learn how to

perform multivariate analysis of variance (MANOVA) and multivariate regression analysis
perform canonical correlation and discriminant function analyses
perform principal components analysis
perform exploratory and confirmatory factor analysis
use structural equation modeling.

Who should attend

Statisticians, researchers, and data analysts with a strong statistical background

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Prerequisites

Before attending this course, you should

know how to create and manage SAS data sets
have experience performing regression analysis and/or analysis of variance using the REG procedure and/or the GLM procedure of SAS/STAT software
have completed and mastered the material covered in the Statistics II: ANOVA and Regression course or completed a graduate-level course on general linear models.

Exposure to matrix algebra will enhance your understanding of the material. Some experience manipulating SAS data sets and producing graphs using SAS/GRAPH software is also recommended.

Course Contents

Overview and Examples of Multivariate Methods

introduction and examples of multivariate statistics
review of univariate statistics

Analysis of Groups: Multivariate Analysis of Variance

introduction to multivariate analysis of variance
factorial MANOVA
contrasts

More Multivariate Linear Models

multivariate repeated measures
doubly multivariate repeated measures
multivariate multiple regression
canonical correlation

Classification Into Groups: Discriminant Analysis

canonical discriminant analysis
linear discriminant analysis
quadratic discriminant analysis
discriminant analysis and crossvalidation
stepwise discriminant analysis

Variable Reduction and Extraction of Meaningful Factors

principal components analysis
exploratory factor analysis
Cronbach's coefficient alpha for scale reliability

Analysis of Structure Using the CALIS Procedure

introduction to structural models and confirmatory factor analysis
confirmatory factor analysis
structural equation models with repeated measurements

Additional Data Topics

preparing data for multivariate analysis
checking assumptions

Software

This course addresses SAS/STAT. This course also requires SAS/GRAPH software. A few demonstrations use SAS/IML software although it is not required for most of the activities in the course.

Course Materials

Classroom: Students attend classroom courses in one of our public training centers. You receive a hardcopy of the course notes and, in some courses, can choose to take home a copy of the course data.

Live Web: Students attend Live Web classes using a Web browser and a telephone and interact with their instructor and fellow classmates in real time. Each student receives an e-mail with instructions on how to join the class three business days before the class begins. The instructions e-mail includes a link to download the course materials. Students need to download and print the course materials prior to class.

System Requirements

For Live Web, you must

review and follow the general system requirements.
complete the course exercises through our virtual lab. The virtual lab allows you to access the software used in class over the Internet, so that you do not need this software on your local machine.
run this test to connect to a virtual lab session. If firewall problems prevent you from connecting to the virtual lab, then you will need the following software installed and configured in your environment to participate in the course exercises:
- Base SAS 9.2 or 9.1.3 on a Windows operating system or SAS Learning Edition.
  Important: Students using SAS Learning Edition will need to create a shortcut to the SAS windowing environment (SAS Explorer, Enhanced Editor, Log, and Output windows) for use during the class. Follow these instructions for creating a shortcut to SAS prior to class.

Share Your Thoughts

Not sure if this course suits your needs or which delivery method is right for you? Give us a call at 800-333-7660 or send us e-mail. If you have suggestions for this course or would like for it to be offered at another training facility, let us know by adding to our Interest List.

This page was created using SAS software.

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