Unit convenor and teaching staff |
Unit convenor and teaching staff
Unit Convenor
Jie Meng
Contact via 9850 4768
E4A 521
Friday: 2:00pm to 3:00pm Week 1-13 @ E4A 521 or by appointment
Lorne Cummings
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Credit points |
Credit points
4
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Prerequisites |
Prerequisites
Admission to MRes
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Corequisites |
Corequisites
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Co-badged status |
Co-badged status
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Unit description |
Unit description
This unit provides students with an introduction to quantitative research approaches within the business and economics. It seeks to develop students' understanding of the contexts in which quantitative research can be undertaken and the ability to analyse, conduct, and evaluate quantitative forms of research.
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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:
Details of these assessment tasks will be given in the lecturers, and will be posted on the iLearn.
For each of the assessment tasks, individualised feedback will be provided to students. If the task is deemed unsatisfactory, you will be expected to revise and resubmit it for reassessment.
Assessed Coursework 1- Comments on methodology
Oral presentation (Individually, 10%): to be performed in Week 6's class
Written report (individually, 15%): A soft copy to be submitted to Turnitin dropbox in Week 6. No late submission is allowed unless there is an approved special consideration by the convenor.
Submission: This assignment is due in week 6 for the individual presentation and individual report. A soft copy of the written assignment needs to be submitted to “Turn-it-in” (via iLearn).
Extension: No extensions will be granted generally unless there is a special consideration approved by the convenor before it occurs.
Penalties: Students who are absent or do not participate in the group presentation will get a “0” mark automatically. Students who have not submitted the written task prior to the deadline will get a “0” mark unless there is a compelling reason to make an exception (for exception, please refer to the "extension" above).
Note: No transfer of marks from this assessment to the final exam.
Assessed Coursework 2- Comments on Statistical Analysis
Oral presentation (individually, 10%): to be performed in Week 10's class
Written report (individually, 15%): A soft copy to be submitted to Turnitin dropbox in Week 10. No late submission is allowed unless there is an approved special consideration by the convenor.
Submission: This assignment is due in week 10 for the individual presentation and the individual report. A soft copy of the written assignment needs to be submitted to “Turn-it-in” (via iLearn).
Extension: No extensions will be granted generally unless there is a special consideration approved by the convenor before it occurs.
Penalties: Students who are absent or do not participate in the group presentation will get a “0” mark automatically. Students who have not submitted the written task prior to the deadline will get a “0” mark unless there is a compelling reason to make an exception (for exception, please refer to the "extension" above).
Note: No transfer of marks from this assessment to the final exam.
Research Proposal
Submission method: A soft copy to Turnitin assignment dropbox in the iLearn (in Week 13). No late submission is allowed unless there is an approved special consideration by the convenor.
Submission: This major assignment is due in week 13 for the individual report. A soft copy needs to be uploaded to “Turn-it-in” (via iLearn).
Extension: No extensions will be granted generally unless there is a special consideration approved by the convenor before it occurs.
Penalties: Late submissions will be accepted up to 48 hours after the submission deadline. There will be a deduction of 10% of the total quality-based marks for EACH 24 HOURS period or part thereof that the submission is late (for example, being 25 hours late in submission will occur 20% mark penalty). This penalty does not apply for the cases in which an application for special consideration has been made and applied.
Note: No transfer of marks from this assessment to the final exam.
Class Participation and Discussion
Every enrolled student is required to attend the lectures and tutorials punctually and actively participate in class discussions in a contributory manner.
Submission: Weekly attendance is recorded in every class. A full attendance record will not necessarily give students a full mark (10%) of this assessment, rather, a full attendance together with a well-demonstrated effort of class participation will do.
Extension: N.A.
Penalties: Missing every single class without any compelling reason will incur one mark's reduction directly from this session.
Note: No transfer of marks from this assessment to the final exam.
Name | Weighting | Due |
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Assessed Coursework 1 | 25% | Week 6 in tutorial |
Assessed Coursework 2 | 25% | Week 10 in tutorial |
Research Proposal | 40% | Week 13 |
Class Participation/Discussion | 10% | Week 2, 4, 6, 8, 10 |
Due: Week 6 in tutorial
Weighting: 25%
In this assignment, students should write up a review on the quantitative method that has been applied in a discipline based journal paper. It has been designed to assist students’ learning in relation to an experience in summarising and critically evaluating the quantitative method and data source applied in their fields; conveying information in an effective, proper and concise manner; and developing an academic referencing style. This assignment of this part is to be completed as an individual presentation in class and as an individual piece of work (for the report), with 10% and 15% unit marks worth respectively.
Due: Week 10 in tutorial
Weighting: 25%
In this assignment, students should write up an individual review on the statistical analysis that has been applied in a journal paper (i.e. discipline based). It has been designed to assist students’ learning in relation to an experience in doing statistical analysis, summarising and critically evaluating the statistics method in their fields; conveying information in an effective, proper and concise manner; and developing an academic referencing style. The assignment of this part is to be completed as a presentation and as an individual piece of work (for the report), with presentation 10% and report 15% of unit marks respectively.
Due: Week 13
Weighting: 40%
In this assessment every student should write a research proposal. This is to be completed as an individual piece of work. The report should range from 3500-4000 words in length (including tables, figures, and reference while excluding abstract and appendix is applicable). This assignment is to be uploaded to “Turn-it-in” (via iLearn) in week 13. The assignment is worth for 40% of the course grade. A more detailed project brief will be provided separately.
Due: Week 2, 4, 6, 8, 10
Weighting: 10%
Every enrolled student is required to attend the lectures and tutorials punctually and actively participate class discussion in a contributory manner.
CLASS SCHEDULE
TEXTBOOKS AND READINGS
While there is no set textbook for FOBE730, the following books are recommended:
Or
Other Useful Books:
TECHNOLOGY USED AND REQUIRED
Software and technology required: (1) A personal computer with word processing software and Microsoft PowerPoint; (2) Access to iLearn for course materials; (3) Access to the SPSS software for data analysis.
As an FBE HDR candidate, you will be enrolled in the “FBE-HDR Transition to Research” online unit (iLearn). Login at http://ilearn.mq.edu.au/
If you cannot view this unit in your Online Units, please contact Agnieszka Baginska (Email: agnieszka.baginska@mq.edu.au), who will enrol you. The site will be used to post lecture slides, handouts, and assignment instructions after each class, for those who miss their distribution in class.
The lecture notes will be posted on iLearn at https://ilearn.mq.edu.au on a weekly base. The Echo360 recording (video or audio) of lectures/seminars is not applied to this unit.
WHAT IS REQUIRED TO COMPLETE THE UNIT SATISFACTORILY:
This unit is delivered in the seminar pattern. Students are expected to be active and engaged individual learners as well as cooperative team players to complete all tasks as instructed, inclusive of before-class reading, after-class review, desktop work, presentation, and to participate actively in class discussion. To get these above tasks accomplished, a certain level of dependent and critical thinking will be inherently needed.
CHANGES FROM PREVIOUS OFFERING OF THIS UNIT:
1) The learning outcomes are rephrased to focus on more measurable results of student learning.
2) The delivery pattern has been customised to the enrolled students' knowledge and preparation level. In particular, the classes conveyed in every two weeks have been redesigned into SIX MODULES with each one containing 2 or 3 interrelated blocks of methods and analytic techniques in combination of some tutorial activities to strengthen student's skills in the aspects.
3) The assessment components have been set as FOUR, with each one's percentage changed accordingly, e.g., report on methods (25%), report on statistical analysis (25%), research proposal (40%), and attendance (10%). And all the assignments are all individual assignments.
4) Feedback of assessment will be provided only to students generally unless there is a specific need to discuss with the student's academic supervisor.
5) There are no guest lectureships in this semester due to the change of delivery pattern.
6) One newly recommended textbook (Allen, Bennett and Heritage, 2014) is added to the book list.
7) Timetable of weekly teaching activities has been update with a reference to the university calendar.
Start Date of the Week |
Topic |
Tutorial |
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2 |
11 Aug |
Module 1- Introduction to Quantitative Research Methods Part A: Quantitative Research Part B: Data Collection and Sampling |
Class Discussion |
4 |
25 August |
Module 2- Validation Part A: Exploratory, Descriptive, and Causal Research (Experiment) Part B: Measurement, Reliability, and Validity |
Class Discussion |
6 |
8 Sep |
Module 3 - Fundamental Inferential Statistics I (Variance & Covariance) Part A: t-Test Part B: ANOVA Part C: Correlation |
Lab + Student Presentation |
8 |
7 Oct |
Module 4 - Fundamental Inferential Statistics II Part A: Multiple Regression Part B: Logistic Regression |
Lab |
10 |
20 Oct |
Module 5 - Dimension Reduction Techniques Part A: Cluster Analysis (Groups of Cases) Part B: Factor Analysis (Groups of Variables) |
Lab + Student Presentation |
12 |
3 Nov |
Module 6 - Introduction of Contemporary Techniques Part A: Structured Equation Models (SEM) Part B: Simulations and Agent-Based Models (ABM) |
Lab + Student Reflection + Q&A |
Macquarie University policies and procedures are accessible from Policy Central. Students should be aware of the following policies in particular with regard to Learning and Teaching:
Academic Honesty Policy http://mq.edu.au/policy/docs/academic_honesty/policy.html
Assessment Policy http://mq.edu.au/policy/docs/assessment/policy.html
Grading Policy http://mq.edu.au/policy/docs/grading/policy.html
Grade Appeal Policy http://mq.edu.au/policy/docs/gradeappeal/policy.html
Grievance Management Policy http://mq.edu.au/policy/docs/grievance_management/policy.html
Disruption to Studies Policy http://www.mq.edu.au/policy/docs/disruption_studies/policy.html The Disruption to Studies Policy is effective from March 3 2014 and replaces the Special Consideration Policy.
In addition, a number of other policies can be found in the Learning and Teaching Category of Policy Central.
Macquarie University students have a responsibility to be familiar with the Student Code of Conduct: https://students.mq.edu.au/support/student_conduct/
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 improve your marks and take control of your study.
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
For help with University computer systems and technology, visit http://informatics.mq.edu.au/help/.
When using the University's IT, you must adhere to the Acceptable Use Policy. The policy applies to all who connect to the MQ network including students.
As a guidance to direct students' future research outcomes, the following academic journals with high academic credit will assist students to link what is learned from this unit with a specific disciplinary background that fits one's research interest.
Examples of discipline-based journals*:
Accounting and Corporate Governance Journal of Accounting Research Contemporary Accounting Research Accounting Research Journal Accounting and Finance Managerial Accounting Journal Journal of Accounting and Economics |
Applied Finance and Actuarial Study Journal of Finance Journal of Financial and Quantitative Analysis Journal of Empirical Finance Annals of Actuarial Science Australian Actuarial Journal Asia-Pacific Journal of Risk and Insurance |
Economics Econometrica American Economic Review Journal of Economic Theory Journal of International Economics The Journal of Industrial Economics Journal of Public Economics
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Marketing and Management Journal of Marketing Research Journal of the Academy of Marketing Science Asia Pacific Journal of Marketing and Logistics Academy of Management Journal Organisation studies Journal of International Business Studies |
*The selected journal lists are provided to assist students searching for discipline-based quantitative research. More comprehensive journals lists are available on the course website.
In addition, a list of other useful references may be available from the "Research at Faculty of Business and Economics" webpage (www.businessandeconomics.mq.edu.au/research) from diversified research interests.