Students

SSCI2002 – Practising Social Sciences

2025 – Session 2, In person-scheduled-weekday, North Ryde

General Information

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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
Credit points Credit points
10
Prerequisites Prerequisites
40cp at 1000 level or above
Corequisites Corequisites
Co-badged status Co-badged status
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.

Important Academic Dates

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

Learning Outcomes

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

  • ULO1: Formulate arguments using concepts and data in order to identify a range of testable propositions or solutions to social challenges.
  • ULO2: Assess methods of research design and analysis to select appropriate options in a range of contexts.
  • ULO3: Analyse and evaluate secondary data sources in the development of narratives, conclusions and solutions for an identified question.
  • ULO4: Develop knowledge, skills and experience in conducting analyses using quantitative and other data

General Assessment Information

Academic Integrity

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:

  • All academic work claimed as original is the work of the author making the claim
  • All academic collaborations are acknowledged
  • Academic work is not falsified in any way
  • When the ideas of others are used, these ideas are acknowledged appropriately
  • Self-plagiarism (resubmitting your own work - including past assignments for this or other units - without attribution) is an unacceptable academic activity

More information is available from Policy Central here.

 

University Grading Policy

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

 

Return of Marked Work

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.

 

Special Consideration (Extensions)

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:

  1. were serious, unexpected and unavoidable
  2. were beyond your control
  3. caused substantial disruption to your academic work
  4. substantially interfered with your otherwise satisfactory fulfilment of the unit requirements
  5. lasted at least three consecutive days or a total of 5 days within the teaching period and prevented completion of an assessment task scheduled for a specific date.

More information about Special Consideration is available here.

 

Late Penalties

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.

 

Campus Wellbeing

Macquarie University offers a range of wellbeing services (including [but not limited to]: health, welfare, counselling, disability and student advocacy services) that are available to you at any time during your studies. Campus Wellbeing is here to support you and help you succeed, both academically and personally. More information is available here.

Assessment Tasks

Name Weighting Hurdle Due
Portfolio 40% No 19/09/2025
Report 40% No 31/10/2025
Mixed methods reflection 20% No 07/11/2025

Portfolio

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.

 


On successful completion you will be able to:
  • Formulate arguments using concepts and data in order to identify a range of testable propositions or solutions to social challenges.
  • Assess methods of research design and analysis to select appropriate options in a range of contexts.
  • Develop knowledge, skills and experience in conducting analyses using quantitative and other data

Report

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. 

 


On successful completion you will be able to:
  • Analyse and evaluate secondary data sources in the development of narratives, conclusions and solutions for an identified question.
  • Develop knowledge, skills and experience in conducting analyses using quantitative and other data

Mixed methods reflection

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. 

 


On successful completion you will be able to:
  • Formulate arguments using concepts and data in order to identify a range of testable propositions or solutions to social challenges.
  • Assess methods of research design and analysis to select appropriate options in a range of contexts.

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 Writing Centre 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

Lectures and Workshops

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. 

 

Textbooks

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.

 

Technology used

The following technologies are used in the course:

iLearn

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.

 

Turnitin and GradeMark

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

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:

Unit Schedule

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

 

Policies and Procedures

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.

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 connect.mq.edu.au or if you are a Global MBA student contact globalmba.support@mq.edu.au

Academic Integrity

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.

Student Support

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

Academic Success

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. 

Student Services and Support

Macquarie University offers a range of Student Support Services including:

Student Enquiries

Got a question? Ask us via the Service Connect Portal, or contact Service Connect.

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.


Unit information based on version 2025.03 of the Handbook