Analysis of Variance and Regression
Duration
- One Semester or equivalent
Contact hours
- Swinburne Online: Fully online
On-campus unit delivery combines face-to-face and digital learning. For Online unit delivery, learning is conducted exclusively online.
2023 teaching periods
Swinburne Online Teaching Period 1 |
Swinburne Online Teaching Period 2 | |
---|---|---|
Dates: Results: Last self enrolment: Census: Last withdraw without fail: |
Dates: Results: Last self enrolment: Census: Last withdraw without fail: |
Prerequisites
STA70006 Foundations of StatisticsAims and objectives
This unit introduces 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.
Unit Learning Outcomes (ULO)
On successful completion of this unit students will be able to:
1. Apply and analyse data using multiple regression models
2. Interpret the results of multiple regression
3. Identify and explain the concepts of mediation and interaction (moderation) within multiple regression models
4. Apply and analyse data using analysis of variance (ANOVA) models
3. Identify and explain the concepts of mediation and interaction (moderation) within multiple regression models
4. Apply and analyse data using analysis of variance (ANOVA) models
5. Explain the concept of interaction with ANOVA models and identify research problems where they can be usefully applied
6. Interpret results of ANOVA models
7. Interpret statistical analyses of data pertaining to theoretical and applied problems in psychology and health and write concise reports on the results of analyses in discipline-relevant style
Courses with unit
Graduate Diploma of Psychology
Unit information in detail
- Teaching methods, assessment and content.
Teaching methods
Swinburne Online
Type | Hours per week | Number of Weeks | Total |
Live Online Class | 1 | 12 | 12 |
Online Directed Online Learning and Independent Learning | 11.5 | 12 | 138 |
TOTAL | 150 hours |
Assessment
Types | Individual/Group Role | Weighting | Unit Learning Outcomes (ULOs) |
Assignment | Individual | 40% | 1, 2, 3, 4, 5, 6, 7 |
Test | Individual | 40% | 2, 3, 4, 6, 7 |
Online Tests (10) | Individual | 20% | 1, 2, 3, 4, 5, 6 |
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
Study resources
- Reading materials.
Reading materials
Students are advised to check the unit outline in the relevant teaching period for appropriate textbooks and further reading.