Course Overview

Date: Wednesday 19 August to Thursday 20 August
Time: 9:30am - 4pm
Delivery Mode: In-person
Location: UNSW Sydney, Kensington Campus
Course Pre-requisites: Regression, with normal and non normal responses, and basic R skills.

This workshop extends on the Fundamentals of Regression course and introduces multivariate statistics in a model based framework. While particularly relevant to ecologists, these methods have valuable applications across multiple disciplines. We move beyond a single response variable to visualising and analysing a collection of correlated response variables. In this course, many of the motivating applications come from ecology, though the methods do generalise to multivariate data in other settings. Methods available to you depend on the number of responses relative to your sample size; and like in univariate regression we also need to think about the response variable type (binary, count etc). There is emphasis on understanding the concepts of statistical procedures (with a minimum of mathematics, although some will be discussed) and on interpreting computer output. It is designed to help you, the researcher. There will be plenty of practical work.

Course Outline

• Introduction to multivariate data - with fewer response variables
• Multivariate data - with lots of response variables
• Multivariate data - hypothesis testing with LOTS and LOTS of response variables
• Multivariate data - extensions and challenges