Unit convenor and teaching staff |
Unit convenor and teaching staff
Unit convenor
Hangyoung Lee
Contact via Contact via Email
Room B270, 25B Wally's Walk
By appointment
Unit convenor
Selvaraj Velayutham
Contact via Contact via Email
Room B273, 25B Wally's Walk
By appointment
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Credit points |
Credit points
10
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Prerequisites |
Prerequisites
40cp at 1000 level or above
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Corequisites |
Corequisites
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Co-badged status |
Co-badged status
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Unit description |
Unit description
To change the world, social scientists use concepts and data to make arguments to challenge power and inequality and to reveal alternatives. Students will look at primary and secondary sources of data such as statistical information, policy texts, financial documents, first person testimonies, and spatial data to understand how the data was assembled and deployed in order to answer social questions. Students will analyse how we measure, count, survey, interpret, and analyse phenomena to influence social processes. Students will assess appropriate methods of data collection and analysis, apply those methods to a variety of case studies and generate new data themselves. Through this, students will learn to evaluate research design and assess quality of arguments. Students will practise connecting the politics of data with an understanding of the assumptions made by different methods and models of counting social phenomena. On completion, students will have increased fluency with statistical, financial, and discursive data and practise how data can be used to draw conclusions and interrogate claims. |
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:
Academic Integrity is an intergral part of the core values and principles contained in the Macquarie University Ethics Statement. Its fundamental principle is that all staff and students act with integrity in the creation, development, application and use of ideas and information. This means that:
More information is available from Policy Central here.
The grade that a student receives will signify their overall performance in meeting the learning outcomes of the unit of study. Graded units will use the following grades
HD High Distinction 85-100
D Distinction 75-84
Cr Credit 65-74
P Pass 50-64
F Fail 0-49
As per university policy, written assessments will be returned to students within three weeks of the submission date. Early assignments will not be marked early.
The University recognises that students may experience events or conditions that adversely affect their academic performance. If you experience serious and unavoidable difficulties at exam time or when assessment tasks are due, you can consider applying for Special Consideration.
You need to show that the circumstances:
More information about Special Consideration is available here.
Unless a Special Consideration request has been submitted and approved, a 5% penalty (of the total possible mark) will be applied each day a written assessment is not submitted, up until the 7th day (including weekends). After the 7th day, a mark of ‘0’ (zero) will be awarded even if the assessment is submitted. Submission time for all written assessments is set at 11:55 pm. A 1-hour grace period is provided to students who experience a technical issue. This late penalty will apply to non-timed sensitive assessments (incl essays, reports, posters, portfolios, journals, recordings, etc). Late submission of time-sensitive tasks (such as tests/exams, performance assessments/presentations, scheduled practical assessments/labs, etc) will only be addressed by the unit convenor in a Special consideration application. Special Consideration outcome may result in a new question or topic.
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Name | Weighting | Hurdle | Due |
---|---|---|---|
Portfolio | 40% | No | 19/09/2025 |
Report | 40% | No | 31/10/2025 |
Mixed methods reflection | 20% | No | 07/11/2025 |
Assessment Type 1: Portfolio
Indicative Time on Task 2: 30 hours
Due: 19/09/2025
Weighting: 40%
Portfolio of work including quantitative and qualitative tasks.
Assessment Type 1: Report
Indicative Time on Task 2: 40 hours
Due: 31/10/2025
Weighting: 40%
Report on secondary data in the social sciences.
Assessment Type 1: Reflective Writing
Indicative Time on Task 2: 20 hours
Due: 07/11/2025
Weighting: 20%
Reflection on mixed methods in the social sciences.
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
Recordings of lectures are available on iLearn. Students are required to listen to the lectures before attending workshops.
Workshops take place fortnightly (for details, see the Unit Schedule below). They are held on Tuesdays from 9 am to 12 pm in 12SW 404 Tutorial Room or on Fridays from 9 am to 12 pm in 23WW 203 Tutorial Room.
This course has no required textbooks; however, the following books are relevant for studying related topics.
Vaus, David de (2014) Surveys in Social Research, 6th Edition, Allen&Unwin.
DeCuir-Gunby, Jessica T and Paul A Schutz (2017), Developing a Mixed Methods Proposal : A Practical Guide for Beginning Researchers, SAGE Publications, Inc.
Plano Clark, Vicki L and Nataliya V Ivankova (2016), Mixed Methods Research : A Guide to the Field, SAGE Publications, Inc.
These textbooks can be accessed via Leganto on the iLearn.
The following technologies are used in the course:
Important information about the weekly schedule for the course, course readings and assessment are all available on the course iLearn page. If you do not have access, please contact IT help. You are required to check iLearn and your student email regularly for course updates and information.
The written assessment for the course needs to be submitted via Turnitin. A link to Turnitin is available via the Assessments tab on the iLearn page. Please contact the convenor if you cannot find it (do not leave it until the due date of the assessment). Assessments will be marked via GradeMark and returned to students electronically.
Jamovi is a new “3rd generation” statistical spreadsheet. designed from the ground up to be easy to use, jamovi is a compelling alternative to costly statistical products such as SPSS and SAS. You can download Jamovi for free at:
Week | Lecture | Workshop |
---|---|---|
1 | Data and Social Sciences (1) | No Workshop |
2 | Data and Social Sciences (2) | Workshop 1 |
3 | Mixed Method Research Design (1) | No Workshop |
4 | Mixed Method Research Design (2) | Workshop 2 |
5 | Collecting Qualitative Data (1) | No Workshop |
6 | Collecting Qualitative Data (2) | Workshop 3 |
7 | Collecting Quantitative Data (1) | No Workshop |
8 | Collecting Quantitative Data (2) | Workshop 4 |
9 | Analysing Qualitative Data (1) | No Workshop |
10 | Analysing Qualitative Data (2) | Workshop 5 |
11 | Analysing Quantitative Data (1) | No Workshop |
12 | Analysing Quantitative Data (2) | Workshop 6 |
13 | Reflecting on Mixed Methods | Workshop 7 |
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 connect.mq.edu.au or if you are a Global MBA student contact globalmba.support@mq.edu.au
At Macquarie, we believe academic integrity – honesty, respect, trust, responsibility, fairness and courage – is at the core of learning, teaching and research. We recognise that meeting the expectations required to complete your assessments can be challenging. So, we offer you a range of resources and services to help you reach your potential, including free online writing and maths support, academic skills development and wellbeing consultations.
Macquarie University provides a range of support services for students. For details, visit http://students.mq.edu.au/support/
Academic Success provides resources to develop your English language proficiency, academic writing, and communication skills.
The Library provides online and face to face support to help you find and use relevant information resources.
Macquarie University offers a range of Student Support Services including:
Got a question? Ask us via the Service Connect Portal, or contact Service Connect.
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 2025.03 of the Handbook