Overview

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.

Requisites

Teaching periods
Location
Start and end dates
Last self-enrolment date
Census date
Last withdraw without fail date
Results released date
Teaching Period 1
Location
Online
Start and end dates
10-March-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
Last self-enrolment date
20-July-2025
Census date
01-August-2025
Last withdraw without fail date
22-August-2025
Results released date

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
  • Explain the concept of interaction with ANOVA models and identify research problems where they can be usefully applied
  • Interpret results of ANOVA models
  • 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

Teaching methods

Swinburne Online

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

Study resources

Reading materials

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