MOP5031 - Multivariate statistics

Leader(s): Dr Simon A Moss

Offered

Caulfield First semester 2009 (Day)
Caulfield First semester 2009 (Off-campus)

Synopsis

The aim of this unit is to enhance the ability of students to undertake multivariate statistical procedures, including ANCOVAs, MANOVAs, discriminant function analysis, multiple regression, canonical correlation, and factor analysis. Statistical concepts, such as the benefits of statistical control, power, effect size, outliers, and assumptions, are also addressed.

Objectives

After completing this unit successfully, students should be able to:

1. Design a study to optimize the information that statistical analyses could yield;
2. Select and apply the appropriate statistical analyses to explore multivariate data;
3. Apply creative and insightful analytic methods to maximise the utility of research;
4. Justify and report the tools and procedures that were utilised;
5. Understand the breadth of sophisticated, intricate, and novel techniques that are available to analyse data;
6. Appreciate and reconcile the subtle ethical issues associated with research methods, including exploitation of Type 1 errors and data management.

Assessment

Statistical journal and 1 x 50 question multiple choice examination.