Analysis of Variance and Regression
4 Hours per Week
One Semester or equivalent
Hawthorn, Online
Available to incoming Study Abroad and Exchange students
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
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
Semester 1
Location
Hawthorn
Start and end dates
03-March-2025
01-June-2025
01-June-2025
Last self-enrolment date
16-March-2025
Census date
31-March-2025
Last withdraw without fail date
24-April-2025
Results released date
08-July-2025
Teaching Period 1
Location
Online
Start and end dates
10-March-2025
08-June-2025
08-June-2025
Last self-enrolment date
23-March-2025
Census date
04-April-2025
Last withdraw without fail date
02-May-2025
Results released date
Teaching Period 2
Location
Online
Start and end dates
07-July-2025
05-October-2025
05-October-2025
Last self-enrolment date
20-July-2025
Census date
01-August-2025
Last withdraw without fail date
22-August-2025
Results released date
Semester 2
Location
Hawthorn
Start and end dates
04-August-2025
02-November-2025
02-November-2025
Last self-enrolment date
17-August-2025
Census date
31-August-2025
Last withdraw without fail date
19-September-2025
Results released date
09-December-2025
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 |
| TOTAL | 150 |
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 |
| TOTAL | 150 |
Assessment
| Type | Task | Weighting | ULO's |
|---|---|---|---|
| Assignment | Individual | 40% | 1,2,3,4,5,6,7 |
| Online Tests | Individual | 20% | 1,2,3,4,5,6 |
| Test | Individual | 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 varianceÂ
- 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.