Students

MQBS7035 – Advanced Quantitative Research Approaches in Business and Economics

2021 – Session 2, Special circumstances

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.

General Information

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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
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.

Important Academic Dates

Information about important academic dates including deadlines for withdrawing from units are available at https://students.mq.edu.au/important-dates

Learning Outcomes

On successful completion of this unit, you will be able to:

  • ULO1: Identify and defend quantitative data analysis techniques in relevant disciplinary contexts of management, accounting and marketing.
  • ULO2: Formulate hypotheses and propose appropriate research design and analysis techniques.
  • ULO3: Analyse data using advanced statistical techniques, and interpret results.

General Assessment Information

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

Assessment Tasks

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

Research paper critique

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).


On successful completion you will be able to:
  • Identify and defend quantitative data analysis techniques in relevant disciplinary contexts of management, accounting and marketing.

Research Proposal

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.


On successful completion you will be able to:
  • Formulate hypotheses and propose appropriate research design and analysis techniques.

Research Project

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).


On successful completion you will be able to:
  • Identify and defend quantitative data analysis techniques in relevant disciplinary contexts of management, accounting and marketing.
  • Analyse data using advanced statistical techniques, and interpret results.

1 If you need help with your assignment, please contact:

  • the academic teaching staff in your unit for guidance in understanding or completing this type of assessment
  • the Learning Skills Unit for academic skills support.

2 Indicative time-on-task is an estimate of the time required for completion of the assessment task and is subject to individual variation

Delivery and Resources

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.

Unit Schedule

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

Policies and Procedures

Macquarie University policies and procedures are accessible from Policy Central (https://staff.mq.edu.au/work/strategy-planning-and-governance/university-policies-and-procedures/policy-central). Students should be aware of the following policies in particular with regard to Learning and Teaching:

Students seeking more policy resources can visit the Student Policy Gateway (https://students.mq.edu.au/support/study/student-policy-gateway). It is your one-stop-shop for the key policies you need to know about throughout your undergraduate student journey.

If you would like to see all the policies relevant to Learning and Teaching visit Policy Central (https://staff.mq.edu.au/work/strategy-planning-and-governance/university-policies-and-procedures/policy-central).

Student Code of Conduct

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

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

Student Support

Macquarie University provides a range of support services for students. For details, visit http://students.mq.edu.au/support/

Learning Skills

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. 

Student Enquiry Service

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

Equity Support

Students with a disability are encouraged to contact the Disability Service who can provide appropriate help with any issues that arise during their studies.

IT Help

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.