Quantitative Research PG (10441.1)
| Available teaching periods | Delivery mode | Location |
|---|---|---|
| View teaching periods | On-campus |
Bruce, Canberra |
| EFTSL | Credit points | Faculty |
| 0.125 | 3 | Faculty Of Education |
| Discipline | Study level | HECS Bands |
| Academic Program Area - Education | Post Graduate Level | Band 1 2021 (Commenced After 1 Jan 2021) Band 1 2021 (Commenced Before 1 Jan 2021) |
Important Note: This unit is taught with the assumption that students have foundational knowledge of research methods and perspectives. All students will be required to enrol for this unit manually through the waiver process, specifying any past foundational research units they have completed to underpin their ability to understand and assimilate the content of this unit.
Learning outcomes
After successful completion of this unit, students will be able to:1. Demonstrate understanding of foundational knowledge of quantitative research;
2. Demonstrate ability to design a quantitative survey study;
3. Demonstrate practical skills of core parts of statistical analyses; and
4. Demonstrate ability to review quantitative research papers critically.
Graduate attributes
1. UC graduates are professional - communicate effectively1. UC graduates are professional - employ up-to-date and relevant knowledge and skills
1. UC graduates are professional - use creativity, critical thinking, analysis and research skills to solve theoretical and real-world problems
2. UC graduates are global citizens - adopt an informed and balanced approach across professional and international boundaries
2. UC graduates are global citizens - make creative use of technology in their learning and professional lives
3. UC graduates are lifelong learners - adapt to complexity, ambiguity and change by being flexible and keen to engage with new ideas
3. UC graduates are lifelong learners - evaluate and adopt new technology
3. UC graduates are lifelong learners - reflect on their own practice, updating and adapting their knowledge and skills for continual professional and academic development
Prerequisites
11389 Research Methods in Education PG OR 9087 Education Research Perspectives PGCorequisites
None.Incompatible units
None.Equivalent units
None.Assumed knowledge
None.| Year | Location | Teaching period | Teaching start date | Delivery mode | Unit convener |
|---|---|---|---|---|---|
| 2024 | Bruce, Canberra | Semester 1 | 05 February 2024 | On-campus | Dr Jenny Dean |
| 2024 | Bruce, Canberra | Semester 2 | 29 July 2024 | On-campus | Dr Jenny Dean |
| 2025 | Bruce, Canberra | Semester 1 | 03 February 2025 | On-campus | Dr Jenny Dean |
| 2025 | Bruce, Canberra | Semester 2 | 28 July 2025 | On-campus | Dr Jenny Dean |
Required texts
Field, A. (2018). Discovering Statistics using IBM SPSS Statistics: 5th Edition. SAGE Publications Ltd.
Muijs, D. (2011). Doing quantitative research in education with SPSS: 2nd Edition. SAGE Publications Ltd.
(E-books are available through the 麻豆村 of Canberra library website: /library). Purchase is not required. Additional resources will be made available on the unit Canvas site.
Submission of assessment items
Extensions & Late submissions
Submission of assessment items
Approval of extenuating circumstances will be dependent upon the production of supporting documentation and at the discretion of the unit convener.
All assessment items required to be submitted online must be submitted via the appropriate Canvas drop box. It is the student's responsibility to upload the correct and corresponding draft or assessment item to the right submission section. Assignments must be submitted in a format accessible to the assessor(s), as stated on the relevant canvas site. If the unit convener and/or tutor are unable to access a submission, a standard late penalty of 5% of the total marks possible for the task may be applied per day until the assignment is made accessible.
Special assessment requirements
Students must complete and submit all assessments to pass the unit. An aggregate mark of 50% is required to pass the unit.
Provision of valid documentation
Please note that the 麻豆村 takes student conduct very seriously. All documentation provided to 麻豆村 staff must be valid and the provision of fraudulent documentation carries with it potentially serious consequences, including suspension and/or exclusion from the 麻豆村. Note that all allegations of student misconduct will be referred to the Associate Dean for Education (ADE) as a prescribed authority for investigation.
Students must apply academic integrity in their learning and research activities at UC. This includes submitting authentic and original work for assessments and properly acknowledging any sources used.
Academic integrity involves the ethical, honest and responsible use, creation and sharing of information. It is critical to the quality of higher education. Our academic integrity values are honesty, trust, fairness, respect, responsibility and courage.
UC students have to complete the annually to learn about academic integrity and to understand the consequences of academic integrity breaches (or academic misconduct).
UC uses various strategies and systems, including detection software, to identify potential breaches of academic integrity. Suspected breaches may be investigated, and action can be taken when misconduct is found to have occurred.
Information is provided in the Academic Integrity Policy, Academic Integrity Procedure, and 麻豆村 of Canberra (Student Conduct) Rules 2023. For further advice, visit Study Skills.
Learner engagement
This unit will require students to engage in independent learning. Course materials, powerpoint slides, readings, and other resources will be made available on the Canvas site. Face-to-face lectures and workshops will be conducted on a weekly basis to provide an opportunity for students to pose any questions, and for the lecturer to to go through examples as well as provide additional content and clarification. Completion of course activities may be undertaken virtually and/or online as an alternative to face-to-face engagement.
Notional distribution of workload:
Lecture/workshop participation: 40 hours
Assessment work: 50 hours
Private study: 60 hours
Participation requirements
Your engagement with course materials and participation in face-to-face and/or online activities will enhance your understanding of the unit content and therefore the quality of your assessment responses. Lack of participation may result in your inability to satisfactorily pass assessment items.
Required IT skills
Command of Microsoft Office Word and PowerPoint are required. It would also be an advantage for students to familarise themselves with Microsoft Excel.
Students will need to access and have a basic command of SPSS and Qualtrics.
Artificial intelligence services must not to be used for assessment or assessment preparation by students unless explicitly allowed in the assessment instructions for an assessment task published with the assessment task and/or in the unit outline. That is, an artificial intelligence service may only be used if:
- its use is authorised by the unit convener as part of a specified assessment task, and
- it is used in the way allowed in the assessment instructions and/or unit outline, and
- its use is appropriately referenced, meaning that students must reference the use of AI in their assessment in the same way as they reference other source material.
Work placement, internships or practicums
None
Additional information
The unit involves research-led education. There are active researchers teaching the unit who are able to engage students in deep and active learning and transmit to students their passion for the research they are carrying out.
