Multivariate Statistical Methods: Practical Research Applications
Classroom duration: 3.0 days Live Web duration: 6 half-day sessions CEU: 1.8
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 backgroundPrerequisites
Before attending this course, you should- know how to create and manage SAS data sets
- have experience performing a linear model analysis using the REG or GLM procedures 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 SAS software is also recommended.
Course Contents
Overview and Examples of Multivariate Methods- introduction and examples of multivariate statistics
- review of univariate statistics
- introduction to multivariate linear models
- ODS Statistical Graphics in SAS 9.2
- factorial MANOVA
- contrasts
- multivariate multiple regression
- canonical correlation
- canonical discriminant analysis
- linear discriminant analysis
- quadratic discriminant analysis
- discriminant analysis and empirical validation
- principal components analysis
- exploratory factor analysis
- Cronbach's coefficient alpha for scale reliability
- introduction to structural equation models
- confirmatory factor analysis
- regression path models
- structural equation models with latent variables
- structural models with repeated measurements
- evaluating assumptions for multivariate analysis
Software Addressed
This course addresses the following software product(s): 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.Classroom Course Materials
Students receive a hardcopy of the course notes and, in some courses, can choose to take home a copy of the course data.Live Web Course Materials
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, including the exercise files. 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, SAS/STAT, and SAS/GRAPH software, Release 9.2 or 9.1.3 on a Windows operating system