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ASSESSMENT GUIDE

Turnitin is an originality checking and plagiarism prevention tool that enables checking of submitted written work for improper citation or misappropriated content. Each Turnitin assignment is checked against other students' work, the

Internet and key resources selected by your Course Coordinator.

If you are instructed to submit your assessment via Turnitin, you will find the link to the Turnitin submission in your

Moodle course site. You can submit your assessment well before the deadline and use the Similarity Report to improve your academic writing skills before submitting your final version.

You can find out more information on the Turnitin information site for students.

Late Submissions

Extensions

You are expected to manage your time to meet assessment due dates. If you do require an extension to your assessment, please make a request as early as possible before the due date via the special consideration portal on myUNSW (My Student profile > Special Consideration). You can find more information on Special Consideration and the application process below. Lecturers and tutors do not have the ability to grant extensions.

Special consideration is the process for assessing the impact of short-term events beyond your control (exceptional circumstances), on your performance in a specific assessment task.

What are circumstances beyond my control?

Available here is a list of circumstances that may be beyond your control. This is only a list of examples, and your exact circumstances may not be listed.

You can find more detail and the application form on the Special Consideration site, or in the UNSW Special

Policy Context: Australia's Family Carers

Australia relies on 2.8 million informal carers providing essential support to family members with disabilities and age-related needs. These carers forgo an average of $392,000

Government policies like Carer Payment and Carer Allowance provide income support but fall short. Carer Payment covers less than 30\% of average earnings, forcing financial trade-offs.

Understanding caregiving's labour market impacts enables targeted policy design. Statistical analysis quantifies these trade-offs, identifies high-need groups, and evaluates payment effectiveness for better resource allocation.

From a welfare view, equitable support prevents poverty among carers, who are mostly women balancing care and work. Policymakers must evaluate carer payments' impact on mental health, employment, and life satisfaction to design sustainable welfare.

Your institute's 10-year research agenda focuses on quantifying caregiving trade-offs, evaluating program effectiveness, and identifying evidence-based policy solutions. This study contributes to the national

Synthetic data characteristics: Statistically generated to exactly replicate real HILDA distributions, correlations, and relationships without using actual respondent records. Privacy-protected for teaching. Each student's random 3,000-observation sample yields population representative results.

Research Objective: Diagnostic analysis to quantify carer labour market disadvantage and payment coverage gaps. Expected output: Policy brief with executive visualisations

Welfare Agency concern: ``Our budget targets priority groups. How do mental health and employment outcomes vary across age (20-40, 41-60, 60+), gender, and metro/regional location? Which demographics warrant expanded income support?''

Descriptive Statistics Needed:

Treasury Evaluation: ``Current payments cost $7B annually. Where do recipients versus non-recipients show the largest gaps in income, hours worked, and life satisfaction by state and demographics? Which regions justify increased funding?''