Overview

This unit teaches students to identify and apply the multivariate statistical techniques most commonly used in social and health research, to understand the assumptions underlying their use, and appreciate the strengths and limitations of these methods. Knowledge of these methods is particularly helpful for gaining employment areas with a research focus.

Requisites

Teaching Periods
Location
Start and end dates
Last self-enrolment date
Census date
Last withdraw without fail date
Results released date
Study Period 1
Location
Hawthorn
Start and end dates
26-February-2024
26-May-2024
Last self-enrolment date
10-March-2024
Census date
18-March-2024
Last withdraw without fail date
12-April-2024
Results released date
18-June-2024
Study Period 3
Location
Hawthorn
Start and end dates
26-August-2024
24-November-2024
Last self-enrolment date
08-September-2024
Census date
16-September-2024
Last withdraw without fail date
11-October-2024
Results released date
17-December-2024

Learning outcomes

Students who successfully complete this unit will be able to:

  • Summarise the objectives of a study and prepare data files for analysis
  • Test the assumptions underlying a statistical analysis and state the limitations of a study
  • Develop statistical models to describe associations between variables
  • Identify the most appropriate analysis for the research question and execute the analysis using an appropriate software package
  • Interpret and report the results of statistical analyses

Teaching methods

Hawthorn 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

Hawthorn

Type Hours per week Number of weeks Total (number of hours)
On-campus
Class
1.00 12 weeks 12
Specified Activities
Various
3.00 12 weeks 36
Unspecified Activities
Independent Learning
8.50 12 weeks 102
TOTAL150

Assessment

Type Task Weighting ULO's
AssignmentIndividual 50% 1,2,3,4,5 
ExaminationIndividual 40% 2,4,5 
Online QuizzesIndividual 10% 2,4,5 

Content

  • Multiple linear regression: screening, testing assumptions, regression strategies: standard, hierarchical and step-wise regression.
  • mediation, moderation and PROCESS macro.
  • General Linear Models: Interaction, Analysis of Covariance (ANCOVA).
  • Multivariate Analysis of Variance (MANOVA): Between subjects, within subjects and mixed-design MANOVA.
  • Factor analysis: Exploratory and confirmatory factor analysis.
  • Introduction to path analysis: Structural Equation Modelling

Study resources

Reading materials

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