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

Prerequisites
PSY70020 Introductory Research Methods and Statistics

Rules

Admission into GD-PSYS/GD-PSYS1 - Graduate Diploma of Psychology

AND

PSY70020 - Introductory Research Methods and Statistics

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
09-March-2026
07-June-2026
Last self-enrolment date
22-March-2026
Census date
07-April-2026
Last withdraw without fail date
28-April-2026
Results released date
30-June-2026

Unit learning outcomes

Students who successfully complete this unit 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
  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

Teaching methods

Swinburne Online

Activity Type Activity Total Hours Number of Weeks Hours Per Week
Live Online Class 12 12 weeks 1
Online Directed Online Learning and Independent Learning 138 12 weeks 11.5
Total Hours: 150 Total Hours (per week): 12.5

Assessment

Type Task Weighting ULO's
Assignment Individual  40%  1,2,3,4,5,6,7 
Test Individual  40%  2,3,4,6,7 
Online Tests 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

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