Quantitative Research PG (10441.1)
|Available teaching periods
|View teaching periods
| Bruce, Canberra
|Faculty Of Education
|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 outcomesAfter 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 attributes1. UC graduates are professional - communicate effectively
1. 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
Prerequisites11389 Research Methods in Education PG OR 9087 Education Research Perspectives PG
|Teaching start date
|05 February 2024
|Dr Jenny Dean
|29 July 2024
|Dr Jenny Dean
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 University of Canberra library website: https://www.canberra.edu.au/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.
Students have a responsibility to uphold University standards on ethical scholarship. Good scholarship involves building on the work of others and use of others' work must be acknowledged with proper attribution made. Cheating, plagiarism, and falsification of data are dishonest practices that contravene academic values. Refer to the University's Student Charter for more information.
To enhance understanding of academic integrity, all students are expected to complete the Academic Integrity Module (AIM) at least once during their course of study. You can access this module within UCLearn (Canvas) through the 'Academic Integrity and Avoiding Plagiarism' link in the Study Help site.
Use of Text-Matching Software
The University of Canberra uses text-matching software to help students and staff reduce plagiarism and improve understanding of academic integrity. The software matches submitted text in student assignments against material from various sources: the internet, published books and journals, and previously submitted student texts.
Provision of valid documentation
Please note that the University takes student conduct very seriously. All documentation provided to University staff must be valid and the provision of fraudulent documentation carries with it potentially serious consequences, including suspension and/or exclusion from the University. Note that all allegations of student misconduct will be referred to the Associate Dean for Education (ADE) as a prescribed authority for investigation.
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.
Notional distribution of workload:
Assessment work: 70 hours
Private study: 80 hours
Your engagement with course materials and participation in face-to-face and 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
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.