Unit convenor and teaching staff |
Unit convenor and teaching staff
Lecturer/Convener
Hassan Doosti
Contact via Email
Room 534, 12 Wally's Walk
Please refer to iLearn for Consultation hours.
Lecturer/Convener
Georgy Sofronov
Contact via Email
Room 529, 12 Wally's Walk
Please refer to iLearn for Consultation hours.
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Credit points |
Credit points
10
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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
This unit is co-badged with STAT8101.
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Unit description |
Unit description
This unit introduces students to the fundamentals of sampling methodology and their analysis. The unit covers the basic principles of sampling methods, survey design, questionnaire construction, and data collection techniques. Throughout the unit, students will learn how to use statistical software which will enable them to import, clean, and manipulate data, as well as to visualise and summarise data. Additionally, students will apply an understanding of the end-to-end process by designing a survey, collecting data, and performing exploratory data analysis (EDA) on their data set, which will culminate in a final report. This unit contains elements of Working Integrated Learning (WIL) that students will experience activities that relate to or simulate professional practice as part of their learning. |
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:
To pass this unit you must achieve a total mark equal to or greater than 50%.
There are no hurdle assessments for this unit. Attendance and participation in the workshops is expected for this unit, and is part of the assessment.
To foster the development of knowledge and skills, it is essential to engage in ongoing practice. This is facilitated through individual and group-based activities, conducted both before and during workshops. It is crucial that you demonstrate your progress in developing knowledge and skills through active participation in these activities. The final mark for this assessment will be determined based on your active engagement in 13 workshops, with the calculation of your final grade based on the best 10 workshop scores.
You do not need to submit an application for Special Consideration if you miss 3 or fewer workshops. In the event that you submit a Special Consideration request for Practice Based Skills workshops, you must specify in your application the total number of workshops you have missed for this unit. Requests with 3 or fewer missed workshops will be automatically declined, as you still have the opportunity to receive 10 workshop scores.
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 grade of '0' 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 concern.
For any late submission of time-sensitive tasks, such as scheduled quizzes, workshop participation and presentations, students need to submit an application for Special Consideration.
In this unit, late submissions will be accepted as follows:
The Special Consideration Policy aims to support students who have been impacted by short-term circumstances or events that are serious, unavoidable and significantly disruptive, and which may affect their performance in assessment. If you experience circumstances or events that affect your ability to complete the assessments in this unit on time, please inform the convenor and submit a Special Consideration request through ask.mq.edu.au.
Name | Weighting | Hurdle | Due |
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Practice Based Skills for workshops | 10% | No | Weekly |
Quizzes | 20% | No | Weeks 4 and 8 |
Case study | 30% | No | Week 10 |
Group Project | 30% | No | Week 12 |
Reflective Log-book | 10% | No | Week 13 |
Assessment Type 1: Practice-based task
Indicative Time on Task 2: 0 hours
Due: Weekly
Weighting: 10%
Development of knowledge and skills requires continual practice. During these workshops, you will practice a range of statistical concepts and techniques.
Assessment Type 1: Quiz/Test
Indicative Time on Task 2: 2 hours
Due: Weeks 4 and 8
Weighting: 20%
Two quizzes, each worth 10%
Assessment Type 1: Case study/analysis
Indicative Time on Task 2: 10 hours
Due: Week 10
Weighting: 30%
Reviewing literature and delivering a “live” presentation with a focus on indigenous issues
Assessment Type 1: Project
Indicative Time on Task 2: 26 hours
Due: Week 12
Weighting: 30%
In this project, students will need to define their research problems, choose a sampling and survey design, collect data and perform exploratory data analysis (EDA). Students will submit their work in multi-stages and ultimately communicate their findings in a report targetting non-specialist audiences.
Assessment Type 1: Log book
Indicative Time on Task 2: 5 hours
Due: Week 13
Weighting: 10%
Reflective Log-book on your work on the Group Project and Career Activities
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
Workshops (beginning in Week 1): There is one two-hour class each week.
The following textbooks are required in this unit. The Macquarie University library provides online access to these books:
Lu, Y., & Lohr, S. L. (2021). R Companion for Sampling: Design and Analysis, Third Edition (1st ed.). Milton: CRC Press LLC.
The R software (freely available online) will be used in the unit.
We will communicate with you via your university email or through announcements on iLearn. Queries to the convenor can either be placed on the iLearn discussion board or sent to the staff email address from your university email address.
For the latest information on the University’s response to COVID-19, please refer to the Coronavirus infection page on the Macquarie website: https://www.mq.edu.au/about/coronavirus-faqs. Remember to check this page regularly in case the information and requirements change during semester. If there are any changes to this unit in relation to COVID, these will be communicated via iLearn.
Week | Topic/s | |
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1 | Welcome & Introduction to Sampling - Chapter 1 of Lohr (2021) | |
2 | Simple Random Sampling - Chapter 2 of Lohr (2021) | |
3 | Stratified Sampling - Chapter 3 of Lohr (2021) | |
4 | Ratio and Regression Estimation - Chapter 4 of Lohr (2021) | |
5 | Cluster and Systematic Samplings - Chapter 5 of Lohr (2021) | |
6 | Tidy Survey Analysis in R | |
7 | Tidy Survey Analysis in R | |
8 | Guest Speaker - Library Workshop | |
TWO WEEK BREAK | ||
9 | Case Study Presentations | |
10 | Non-response & Missing Data - Chapter 8 of Loht (2021) | |
11 |
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12 |
Guest Speaker - Career development |
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13 | Industry Guest Speakers |
Please note that the order of the sessions may be subject to change based on the availability of guest speakers.
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 ask.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/
The Writing Centre 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 AskMQ, 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.
We value student feedback to be able to continually improve the way we offer our units. As such we encourage students to provide constructive feedback via student surveys, to the teaching staff directly, or via the FSE Student Experience & Feedback link in the iLearn page. Student feedback from the previous offering of this unit was very positive overall, with students pleased with the clarity around assessment requirements and the level of support from teaching staff. As such, no change to the delivery of the unit is planned, however we will continue to strive to improve the level of support and the level of student engagement.
Unit information based on version 2024.02 of the Handbook