MHP5081 - Multivariate statistics

Leader: Dr Simon Moss

Offered

Caulfield First semester 2007 (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 utilized;
5. Understand the breadth of sophisticated, intricate and novel techniques that are available to analyse data.

Assessment

Statistics journal 60%, Booklet of approximately 50 questions 40%.

Off Campus Attendance Requirements

Five-day off-campus workshop