Analysis of Variance and Regression | Units of study... | Swinburne University of Technology

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STA20006 12.5 Credit Points Hawthorn, Online Available to incoming Study Abroad and Exchange students

Duration

1 Semester or equivalent

Contact hours

4 Hours per Week

2021 teaching periods

Hawthorn

Higher Ed. Semester 1		Higher Ed. Semester 2
Dates: 1 Mar 21 - 30 May 21 Results: 6 Jul 21 Last self enrolment: 14 Mar 21 Census: 31 Mar 21 Last withdraw without fail: 16 Apr 21		Dates: 2 Aug 21 - 31 Oct 21 Results: 7 Dec 21 Last self enrolment: 15 Aug 21 Census: 31 Aug 21 Last withdraw without fail: 17 Sep 21

Higher Ed. Semester 1

Higher Ed. Semester 2

Dates:
1 Mar 21 - 30 May 21

Results:
6 Jul 21

Last self enrolment:
14 Mar 21

Census:
31 Mar 21

Last withdraw without fail:
16 Apr 21

Dates:
2 Aug 21 - 31 Oct 21

Results:
7 Dec 21

Last self enrolment:
15 Aug 21

Census:
31 Aug 21

Last withdraw without fail:
17 Sep 21

More teaching periods

HOL Study Period 1		HOL Study Period 3
Dates: 1 Mar 21 - 30 May 21 Results: 29 Jun 21 Last self enrolment: 14 Mar 21 Census: 22 Mar 21 Last withdraw without fail: 16 Apr 21		Dates: 30 Aug 21 - 28 Nov 21 Results: 21 Dec 21 Last self enrolment: 12 Sep 21 Census: 20 Sep 21 Last withdraw without fail: 15 Oct 21

HOL Study Period 1

HOL Study Period 3

Dates:
1 Mar 21 - 30 May 21

Results:
29 Jun 21

Last self enrolment:
14 Mar 21

Census:
22 Mar 21

Last withdraw without fail:
16 Apr 21

Dates:
30 Aug 21 - 28 Nov 21

Results:
21 Dec 21

Last self enrolment:
12 Sep 21

Census:
20 Sep 21

Last withdraw without fail:
15 Oct 21

Swinburne Online

Teaching Period 1		Teaching Period 2
Dates: 8 Mar 21 - 6 Jun 21 Last self enrolment: 21 Mar 21 Census: 2 Apr 21 Last withdraw without fail: 23 Apr 21		Dates: 5 Jul 21 - 3 Oct 21 Last self enrolment: 18 Jul 21 Census: 30 Jul 21 Last withdraw without fail: 20 Aug 21

Teaching Period 1

Teaching Period 2

Dates:
8 Mar 21 - 6 Jun 21

Last self enrolment:
21 Mar 21

Census:
2 Apr 21

Last withdraw without fail:
23 Apr 21

Dates:
5 Jul 21 - 3 Oct 21

Last self enrolment:
18 Jul 21

Census:
30 Jul 21

Last withdraw without fail:
20 Aug 21

Prerequisites

STA10003 Foundations of Statistics

Corequisites

Nil

Aims and objectives

This unit will introduce 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.

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. Identify and explain the concept of interaction with ANOVA models
6. Interpret results of ANOVA models
7. Write concise reports of analyses

Courses with unit

BA-HSC1 Bachelor of Health Science

BA-HSCPROF Bachelor of Health Science (Professional)
BB-HSCBUS Bachelor of Health Science / Bachelor of Business
BB-HSCMCMN Bachelor of Health Science / Bachelor of Media and Communication
BB-HSCSCI Bachelor of Health Science / Bachelor of Science

Unit information in detail

- Teaching methods, assessment, general skills outcomes and content.

Teaching methods

This unit involves up to 150 hours of work including:

1. Hawthorn on-campus delivery:

Type	Hours per week	Number of Weeks	Total
Face to Face Contact Lecture Tutorial	2 2	12 12	24 24
Online Contact			N/A
Specified Learning Activities (textbook exercises , quizzes)	3	12	36
Unspecified Learning Activities (Independent study, assignment preparation, revision)			66
TOTAL			150 hours/12.5cp

NOTE: 48 contact hours (or the online equivalent is essential for teaching these statistical methods.

2. Hawthorn Online and OUA delivery

Type	Hours per week	Number of Weeks	Total
Face to Face Contact Lecture Tutorial			N/A
Online Contact			N/A
Specified Learning Activities Lecture recordings Staff facilitated discussion boards Other Activities (textbook exercises , quizzes, structured activities)	2 2 3	12 12 12	24 24 36
Unspecified Learning Activities (Independent study, assignment preparation , revision)			66
TOTAL			150 hours/12.5cp

3. Swinburne on line (SOL) delivery:

Type	Hours per week	Number of Weeks	Total
Face to Face Contact			N/A
Online Contact Collaborate sessions	1	12	12
Specified Learning Activities Readings Viewing videos, Tedtalks Self-check tests Online tests Webinars Interactive DB activities Online eLA-student interactions	7	12	84
Unspecified Learning Activities Independent study Assessment task preparation Reading up on current affairs relevant to topics	4	12	48
TOTAL			144 hours/12.5cp

Assessment

Types	Individual or Group task	Weighting	Assesses attainment of these ULOs
Online topic tests (10)	Individual	20%	1, 2, 3, 4, 5, 6
Assignment	Individual	40%	1, 2, 3, 4, 5, 6, 7
Exam	Individual	40%	2, 3, 4, 6, 7

General skills outcomes

During this unit students will receive feedback on the following key generic skills:
• Analysis Skills
• Problem Solving Skills
• Communication Skills
• Ability to tackle unfamiliar problems
• Ability to work independently

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

A list of reading materials will be made available in the Unit Outline.