Course Outline

BUS515 Applied Quantitative Research Methods

Course Coordinator:Sajid Anwar ( School:School of Business and Creative Industries

2022Semester 1


Online You can do this course without coming onto campus.

Please go to the USC website for up to date information on the
teaching sessions and campuses where this course is usually offered.

What is this course about?


This course will introduce you to a range of quantitative research methods and their application to a variety of different research questions relevant to higher degrees by research. You will develop skills in analysing data, interpreting results and reporting those results. 

How will this course be delivered?

Activity Hours Beginning Week Frequency
Learning materials – Interactive learning guides 1hr Week 1 13 times
Tutorial/Workshop 1 – Interactive online workshops 2hrs Week 1 12 times
Information session – 2 x 1 hour task info sessions 1hr Week 1 2 times

Course Topics

Introduction to quantitative research methods

Univariate hypothesis testing

Bivariate and multivariate hypothesis testing

Non-parametric methods

Dealing with outliers and data transformation

Exploratory factor analysis

Simple correlation and regression

Multiple regression

Discriminant analysis

Logistic regression

Structural equation modelling


What level is this course?

500 Level (Advanced)

Engaging with new discipline knowledge and skills at an advanced level or deepening existing knowledge and skills within a discipline. Independent application of knowledge and skills in unfamiliar contexts.

What is the unit value of this course?

12 units

How does this course contribute to my learning?

Course Learning Outcomes On successful completion of this course, you should be able to... Graduate Qualities Mapping Completing these tasks successfully will contribute to you becoming... Professional Standard Mapping * Association to Advance Collegiate Schools of Business
1 Demonstrate an understanding of advanced quantitative research methodologies. Knowledgeable
Creative and critical thinker
PC1.1, PC3
2 Design and develop a research proposal using quantitative methods Creative and critical thinker
PC1.1, PC3
3 Apply research skills and appropriate methodologies to investigate relevant issues. Knowledgeable
PC1.1, PC3, PC6

* Competencies by Professional Body

Association to Advance Collegiate Schools of Business
PC1.1 Written Communication
PC3 Creative and Critical Thinking
PC6 Career-adaptive

Am I eligible to enrol in this course?

Refer to the USC Glossary of terms for definitions of “pre-requisites, co-requisites and anti-requisites”.


Enrolled in any honours program or postgraduate coursework program


Not applicable


MBA719 or EMB769

Specific assumed prior knowledge and skills (where applicable)

Not applicable

How am I going to be assessed?

Grading Scale

Standard Grading (GRD)

High Distinction (HD), Distinction (DN), Credit (CR), Pass (PS), Fail (FL).

Details of early feedback on progress

A draft copy of your Task 1 will be peered reviewed in week 3 during the class session.

Assessment tasks

Delivery mode Task No. Assessment Product Individual or Group Weighting % What is the duration / length? When should I submit? Where should I submit it?
All 1 Plan Individual 10%
600 words
Week 5 Online Assignment Submission with plagiarism check
All 2 Examination - not Centrally Scheduled Individual 40%
90 minutes online
Week 10 Online Assignment Submission with plagiarism check
All 3 Report Individual 50%
3,000 words
Week 13 Online Assignment Submission with plagiarism check
All - Assessment Task 1:Research Project - Design
Based on secondary data, you will design a modest quantitative research project. The project will involve hypothesis testing based on multiple regression.
Product: Plan
Research project plan.The project plan will comprise of a brief introduction to the project topic, a tentative method section and a list of appropriate references.
No. Learning Outcome assessed
Statement of the quantitative research question based on existing literature
Identification and discussion of the appropriate secondary data and data sources
Listing of appropriate hypotheses and justification of methodology
Professional communication and referencing.
All - Assessment Task 2:Examination
You will demonstrate your advanced understanding of quantitative methods and analysis covered in this course.
Product: Examination - not Centrally Scheduled
This is an individual assessment. Based on topics 1 to 8. The duration of the exam will be 90 minutes. Examination format is to be open book with short answers.
No. Learning Outcome assessed
Accurate calculations using relevant concepts and techniques
1 3
Appropriate interpretation and discussion of the results
1 3
Clarity of written communication
All - Assessment Task 3:Quantitative Research Project - Results and Analysis
This task builds from your project plan and develops your skills in analysis of quantitative research results.
Product: Report
Report will have the following sections: Title page, list of contents, introduction, methodology, analysis, conclusion and recommendations, references and an appendix.  The introduction and methodology sections will be brief and the bulk of the report will focus on statistical results and their analysis.
No. Learning Outcome assessed
Discussion of data and assumption testing
1 2 3
Hypotheses testing, robustness checks and appropriate interpretation
1 3
Reasoned conclusions, recommendations and discussion of limitations
1 3
Professional communication, presentation and referencing
2 3

Directed study hours

A 12-unit course will have total of 150 learning hours which will include directed study hours (including online if required), self-directed learning and completion of assessable tasks. Directed study hours may vary by location. Student workload is calculated at 12.5 learning hours per one unit.

What resources do I need to undertake this course?

Please note: Course information, including specific information of recommended readings, learning activities, resources, weekly readings, etc. are available on the course Canvas site– Please log in as soon as possible.

Prescribed text(s) or course reader

Please note that you need to have regular access to the resource(s) listed below. Resources may be required or recommended.

Required? Author Year Title Edition Publisher
Recommended JOSEPH. HAIR 0 Multivariate Data Analysis 8th ed. n/a
Recommended Andy Field 2018 Discovering Statistics Using IBM SPSS Statistics n/a SAGE Publications Limited

Specific requirements

Not applicable

How are risks managed in this course?

Health and safety risks for this course have been assessed as low. It is your responsibility to review course material, search online, discuss with lecturers and peers and understand the health and safety risks associated with your specific course of study and to familiarise yourself with the University’s general health and safety principles by reviewing the online induction training for students, and following the instructions of the University staff.

What administrative information is relevant to this course?

Assessment: Academic Integrity

Academic integrity is the ethical standard of university participation.  It ensures that students graduate as a result of proving they are competent in their discipline.  This is integral in maintaining the value of academic qualifications. Each industry has expectations and standards of the skills and knowledge within that discipline and these are reflected in assessment.

Academic integrity means that you do not engage in any activity that is considered to be academic fraud; including plagiarism, collusion or outsourcing any part of any assessment item to any other person.  You are expected to be honest and ethical by completing all work yourself and indicating in your work which ideas and information were developed by you and which were taken from others. You cannot provide your assessment work to others. You are also expected to provide evidence of wide and critical reading, usually by using appropriate academic references.

In order to minimise incidents of academic fraud, this course may require that some of its assessment tasks, when submitted to Canvas, are electronically checked through Turnitin.  This software allows for text comparisons to be made between your submitted assessment item and all other work to which Turnitin has access.

Assessment: Additional Requirements

Eligibility for Supplementary Assessment

Your eligibility for supplementary assessment in a course is dependent of the following conditions applying:

The final mark is in the percentage range 47% to 49.4%
The course is graded using the Standard Grading scale
You have not failed an assessment task in the course due to academic misconduct

Assessment: Submission penalties

Late submission of assessment tasks may be penalised at the following maximum rate: 
- 5% (of the assessment task's identified value) per day for the first two days from the date identified as the due date for the assessment task. 
- 10% (of the assessment task's identified value) for the third day - 20% (of the assessment task's identified value) for the fourth day and subsequent days up to and including seven days from the date identified as the due date for the assessment task. 
- A result of zero is awarded for an assessment task submitted after seven days from the date identified as the due date for the assessment task. Weekdays and weekends are included in the calculation of days late. To request an extension you must contact your course coordinator to negotiate an outcome.


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Study help

For help with course-specific advice, for example what information to include in your assessment, you should first contact your tutor, then your course coordinator, if needed.

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  • Deferred Examinations
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