Analysis of Variance and Regression

STA70007 12.5 Credit Points Online

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:
13 Mar 23 - 11 Jun 23

Results:
4 Jul 23

Last self enrolment:
26 Mar 23

Census:
7 Apr 23

Last withdraw without fail:
28 Apr 23

Dates:
10 Jul 23 - 8 Oct 23

Results:
31 Oct 23

Last self enrolment:
23 Jul 23

Census:
4 Aug 23

Last withdraw without fail:
25 Aug 23

Prerequisites

STA70006 Foundations of Statistics

Aims 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
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