Unit convenor and teaching staff |
Unit convenor and teaching staff
Unit Convenor
Sophia Su
Lecturer
Shahin Sharifi
Lecturer
Nidthida Lin
Lecturer
Peter Petocz
|
---|---|
Credit points |
Credit points
4
|
Prerequisites |
Prerequisites
(Admission to MActPrac or MBkgFin or MCom or MIntBus) and permission by special approval
|
Corequisites |
Corequisites
|
Co-badged status |
Co-badged status
Co-badged with FOBE730
|
Unit description |
Unit description
This unit provides students with an introduction to quantitative research approaches within 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.
|
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:
Instructions in regard to how to submit each assessment will be provided on iLearn.
Name | Weighting | Hurdle | Due |
---|---|---|---|
Research paper critique | 15% | No | 02/09/2019 |
Research proposal | 30% | No | 11/10/2019 |
Data analysis and reporting | 55% | No | 12/11/2019 |
Due: 02/09/2019
Weighting: 15%
This assignment requires students to provide a critical review of a research paper and draw an appropriate conclusion from their critical analysis. More information will be provided on iLearn in due course.
Due: 11/10/2019
Weighting: 30%
This assignment requires students to develop a research project on a topic of their own choice using the survey method. More information will be provided on iLearn in due course.
Due: 12/11/2019
Weighting: 55%
This assessment will provide students with raw data in a general business discipline to analyse and to write an analytical report in response to the given research questions. More information will be provided on iLearn in due course.
This unit is structured around attendance at one 3 hour seminar per week. The class timetable can be found on the university web site https://timetables.mq.edu.au/. All important information including weekly seminar lectures, assessment details, important announcements and staff contact details can be found at the unit iLearn website.
The following are recommended books related to the unit. They are available in the library.
Class week |
Date |
Topics |
Content |
1 SSu |
30 July |
Introduction to research
|
Research flow:
|
2 SSu |
6 August |
Elements of Research Design |
Origins of research topics; Units of analysis; Types of variables; Relationships; Stating problems and hypotheses (include explanations of different types of hypotheses).; Research purposes and research design (leading to the next week topic)
|
3 SSu |
13 August |
Formulating a research design I |
Measurement conceptualisation Measurement operationalisation Levels of measurement Validity and Reliability
|
4 SSu |
20 August |
Formulating a research design II |
Why Sampling Population definition Sampling designs including probability sampling (i.e. Simple random sampling vs systematic sampling vs stratified sampling vs cluster sampling) and Nonprobability sampling (convenience sampling, purposive sampling, quota sampling). Factors affecting choice of sampling testing
|
5 SSu |
27 August |
Data collection using survey |
Survey design and administration Introduction to Qualtrics
|
6 SSu |
3 Sep |
Introduction to SPSS |
Enter survey data in SPSS Demonstrate key tabs in SPSS Descriptive statistics
|
7 PP
|
10 Sep |
Analysing and reporting I |
Data preparation Testing for normality and distributional assumptions Exploratory factor analysis Reliability and validity testing
|
Mid session break 16th to 29th Sep
|
|||
8 pp |
1 Oct |
Analysing and reporting IV |
Hypotheses testing Types of tests: One-sample t-test Independent-samples t-test Paired-samples t-test
|
9 NL |
8 Oct |
Analysing and reporting II |
ANOVA Cross-tabulation Correlation Regression
|
10 NL |
15 Oct |
Analysing and reporting III |
Multiple regression analysis Logistic regression
|
11 SS |
22 Oct |
Analysing and reporting V |
Multiple moderated regression analysis Multiple mediated regression analysis
|
12 SS |
29 Oct |
Analysing and reporting VI |
Multiple moderated and mediated analysis (moderated mediation analyses)
|
13 NL/SS |
5 Nov |
Consultation -Data Analysis
|
By appointment |
Note: SSu: Sophia Su PP: Peter Petocz SS: Shahin Sharifi NL: Nidthida Lin
|
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:
Undergraduate 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).
Macquarie University students have a responsibility to be familiar with the Student Code of Conduct: https://students.mq.edu.au/study/getting-started/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 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
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.
Our postgraduates will be able to demonstrate a significantly enhanced depth and breadth of knowledge, scholarly understanding, and specific subject content knowledge in their chosen fields.
This graduate capability is supported by:
Our postgraduates will be capable of utilising and reflecting on prior knowledge and experience, of applying higher level critical thinking skills, and of integrating and synthesising learning and knowledge from a range of sources and environments. A characteristic of this form of thinking is the generation of new, professionally oriented knowledge through personal or group-based critique of practice and theory.
This graduate capability is supported by:
Our postgraduates will be capable of systematic enquiry; able to use research skills to create new knowledge that can be applied to real world issues, or contribute to a field of study or practice to enhance society. They will be capable of creative questioning, problem finding and problem solving.
This graduate capability is supported by:
Our postgraduates will be able to communicate effectively and convey their views to different social, cultural, and professional audiences. They will be able to use a variety of technologically supported media to communicate with empathy using a range of written, spoken or visual formats.
This graduate capability is supported by: