Overview

This unit will introduce students to fundamental statistical areas of research design and linear models. It examines how multiple regression and Analysis of Variance (ANOVA) can be used to analyse experimental and observational research using a variety of research designs.

Requisites

Teaching periods
Location
Start and end dates
Last self-enrolment date
Census date
Last withdraw without fail date
Results released date
Semester 2
Location
Hawthorn
Start and end dates
29-July-2024
27-October-2024
Last self-enrolment date
11-August-2024
Census date
31-August-2024
Last withdraw without fail date
13-September-2024
Results released date
03-December-2024

Learning outcomes

Students who successfully complete this unit will be able to:

  • Apply and analyse data using multiple regression models
  • Interpret the results of multiple regression
  • Identify and explain the concepts of mediation and interaction (moderation) within multiple regression models
  • Apply and analyse data using analysis of variance (ANOVA) models
  • Identify and explain the concept of interaction with ANOVA models
  • Interpret results of ANOVA models
  • Write concise reports of analyses

Teaching methods

Hawthorn

Type Hours per week Number of weeks Total (number of hours)
Live Online
Class
2.00 12 weeks 24
On-campus
Class
2.00 12 weeks 24
Specified Activities
Various
3.00 12 weeks 36
Unspecified Activities
Various
5.50 12 weeks 66
TOTAL150

All Applicable Locations

Type Hours per week Number of weeks Total (number of hours)
Live Online
Class
1.00 12 weeks 12
Online
Directed Online Learning and Independent Learning
11.50 12 weeks 138
TOTAL150

Assessment

Type Task Weighting ULO's
AssignmentIndividual 40% 1,2,3,4,5,6,7 
Online TestsIndividual 20% 1,2,3,4,5,6 
TestIndividual 40% 2,3,4,6,7 

Content

  • A review of fundamentals
  • Review of correlation and simple linear regression
  • Hypothesis testing
  • Introduction to multiple regression models
  • Multiple regression
  • Part and partial correlation
  • Presentation of results
  • Testing assumptions for regression
  • Testing for interactions
  • Analysis of variance models
  • Introduction to the analysis of variance 
  • Single factor independent groups design
  • Completely randomised factorial design
  • Single factor within subjects design
  • Mixed factorial design
  • Graduate Attribute 1 (Communication 1 - Verbal Communication)
  • Graduate Attribute 2 (Communication 2 - Communicating using different media)
  • Graduate Attribute 5 (Digital Literacies 1 - Information literacy)
  • Graduate Attribute 6 (Digital Literacies 2 - Technical literacy)

Study resources

Reading materials

A list of reading materials and/or required textbooks will be available in the Unit Outline on Canvas.