Session 2 Learning and Teaching Update
The decision has been made to conduct study online for the remainder of Session 2 for all units WITHOUT mandatory on-campus learning activities. Exams for Session 2 will also be online where possible to do so.
This is due to the extension of the lockdown orders and to provide certainty around arrangements for the remainder of Session 2. We hope to return to campus beyond Session 2 as soon as it is safe and appropriate to do so.
Some classes/teaching activities cannot be moved online and must be taught on campus. You should already know if you are in one of these classes/teaching activities and your unit convenor will provide you with more information via iLearn. If you want to confirm, see the list of units with mandatory on-campus classes/teaching activities.
Visit the MQ COVID-19 information page for more detail.
Unit convenor and teaching staff |
Unit convenor and teaching staff
Unit Convenor and Lecturer
Shahin Sharifi
Contact via Email
146A, 3 Management Drive
By appointment
Lecturer
Rico Piehler
Contact via Email
By appointment
Lecturer
Meiting Lu
Contact via Email
By appointment
|
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Credit points |
Credit points
10
|
Prerequisites |
Prerequisites
FOBE730 or MQBS7030
|
Corequisites |
Corequisites
|
Co-badged status |
Co-badged status
|
Unit description |
Unit description
Advanced quantitative research underpins rigorous and valid research findings. This unit addresses key considerations about research methodology, data characteristics, and data analysis and interpretation. Students will learn advanced research approaches and methods such as experimental research, structural equation modelling, and secondary data analysis. Students will develop advanced research skills that are critical to knowledge generation in business research and problem solving. |
Information about important academic dates including deadlines for withdrawing from units are available at https://www.mq.edu.au/study/calendar-of-dates
On successful completion of this unit, you will be able to:
“Late assessment submissions must also be submitted through the appropriate submission link in iLearn. No extensions will be granted unless an application for Special Consideration is made and approved. There will be a deduction of 10% of the total available marks made from the total awarded mark for each 24 hour period or part thereof that the submission is late. Late submissions will not be accepted after solutions have been discussed and/or made available.
Note: Further information on submitting an Application for Special Consideration can be found at https://students.mq.edu.au/study/my-study-program/special-consideration
Name | Weighting | Hurdle | Due |
---|---|---|---|
Research paper critique | 20% | No | End of Week 5 |
Research Proposal | 25% | No | End of Week 10 |
Research Project | 55% | No | One week after Week 13 |
Assessment Type 1: Essay
Indicative Time on Task 2: 20 hours
Due: End of Week 5
Weighting: 20%
Students are given research papers by the UC and are required to provide a critical review of the papers (in 1000 words).
Assessment Type 1: Presentation
Indicative Time on Task 2: 25 hours
Due: End of Week 10
Weighting: 25%
Students are required to develop a research proposal on a topic of their own choice and present a suitable research approach.
Assessment Type 1: Quantitative analysis task
Indicative Time on Task 2: 40 hours
Due: One week after Week 13
Weighting: 55%
Students are given a set of raw data in a general business discipline and they are required to apply a number of advanced statistical techniques to analyse data, report and interpret the results (in 3000 words).
1 If you need help with your assignment, please contact:
2 Indicative time-on-task is an estimate of the time required for completion of the assessment task and is subject to individual variation
This unit is structured around attendance at a 3 hour workshop per week. The class timetable can be found through TimeTables portal. All important information including weekly contents and activities, assessment details, important announcements and staff contact details can be found at the unit iLearn. For the list and details of the weekly readings as well as suggested and further reading, please see iLearn.
Weeks |
Topics |
1-3 |
Mediation, moderation, moderated-mediation, mediated-moderation, moderated moderation, moderated moderated mediation |
4-7 |
Variance-based Structural Equation Modelling |
8-10 |
Experimental designs |
11-13 |
Secondary data analyses |
Macquarie University policies and procedures are accessible from Policy Central (https://policies.mq.edu.au). Students should be aware of the following policies in particular with regard to Learning and Teaching:
Students seeking more policy resources can visit Student Policies (https://students.mq.edu.au/support/study/policies). It is your one-stop-shop for the key policies you need to know about throughout your undergraduate student journey.
To find other policies relating to Teaching and Learning, visit Policy Central (https://policies.mq.edu.au) and use the search tool.
Macquarie University students have a responsibility to be familiar with the Student Code of Conduct: https://students.mq.edu.au/admin/other-resources/student-conduct
Results published on platform other than eStudent, (eg. iLearn, Coursera etc.) or released directly by your Unit Convenor, are not confirmed as they are subject to final approval by the University. Once approved, final results will be sent to your student email address and will be made available in eStudent. For more information visit ask.mq.edu.au or if you are a Global MBA student contact globalmba.support@mq.edu.au
Macquarie University provides a range of support services for students. For details, visit http://students.mq.edu.au/support/
Learning Skills (mq.edu.au/learningskills) provides academic writing resources and study strategies to help you improve your marks and take control of your study.
The Library provides online and face to face support to help you find and use relevant information resources.
Students with a disability are encouraged to contact the Disability Service who can provide appropriate help with any issues that arise during their studies.
For all student enquiries, visit Student Connect at ask.mq.edu.au
If you are a Global MBA student contact globalmba.support@mq.edu.au
For help with University computer systems and technology, visit http://www.mq.edu.au/about_us/offices_and_units/information_technology/help/.
When using the University's IT, you must adhere to the Acceptable Use of IT Resources Policy. The policy applies to all who connect to the MQ network including students.
Unit information based on version 2021.02 of the Handbook