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.
|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|
Introduction to quantitative research methods
Univariate hypothesis testing
Bivariate and multivariate hypothesis testing
Dealing with outliers and data transformation
Exploratory factor analysis
Simple correlation and regression
Structural equation modelling
500 Level (Advanced)
|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.||
Creative and critical thinker
|2||Design and develop a research proposal using quantitative methods||
Creative and critical thinker
|3||Apply research skills and appropriate methodologies to investigate relevant issues.||
PC1.1, PC3, PC6
|Association to Advance Collegiate Schools of Business|
|PC3||Creative and Critical Thinking|
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
MBA719 or EMB769
Standard Grading (GRD)
|High Distinction (HD), Distinction (DN), Credit (CR), Pass (PS), Fail (FL).|
A draft copy of your Task 1 will be peered reviewed in week 3 during the class session.
|Delivery mode||Task No.||Assessment Product||Individual or Group||Weighting %||What is the duration / length?||When should I submit?||Where should I submit it?|
|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|
|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.
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.
|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.
|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.
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.
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.
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.
Please note that you need to have regular access to the resource(s) listed below. Resources may be required or recommended.
|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|
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