Quantitative Research Practice in Health PG (9585.4)
| Available teaching periods | Delivery mode | Location |
|---|---|---|
| View teaching periods | Flexible Online real-time |
Bruce, Canberra |
| EFTSL | Credit points | Faculty |
| 0.125 | 3 | Faculty Of Health |
| Discipline | Study level | HECS Bands |
| Faculty Of Health | Post Graduate Level | Band 2 2021 (Commenced After 1 Jan 2021) Band 3 2021 (Commenced Before 1 Jan 2021) |
Learning outcomes
On successful completion of this unit, students will be able to:1. Critically evaluate appropriate quantitative methodologies and their application to correctly address the specific research question;
2. Address and improve validity and reliability in quantitative research;
3. Demonstrate practical application of data analysis, using an appropriate methodological approach and supporting software and reflect on strengths and weaknesses of different data analysis strategies; and
4. Apply the methodological principles from conception to communication to a specific research project.
Graduate attributes
1. 黑料吃瓜网 graduates are professional - communicate effectively1. 黑料吃瓜网 graduates are professional - employ up-to-date and relevant knowledge and skills
3. 黑料吃瓜网 graduates are lifelong learners - evaluate and adopt new technology
3. 黑料吃瓜网 graduates are lifelong learners - reflect on their own practice, updating and adapting their knowledge and skills for continual professional and academic development
Prerequisites
None.Corequisites
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 | Flexible | Assoc Prof Theo Niyonsenga |
| 2024 | Bruce, Canberra | Winter Term | 27 May 2024 | Flexible | Ms Susan Hartono |
| 2024 | Bruce, Canberra | Semester 2 | 29 July 2024 | Flexible | Assoc Prof Theo Niyonsenga |
| 2025 | Bruce, Canberra | Semester 2 | 28 July 2025 | Online real-time | Assoc Prof Theo Niyonsenga |
Required texts
Carter, R., & Lubinsky, J. (2015). Rehabilitation Research: Principles and Applications (5th Edition). Paperback ISBN: 9781455759798. eBook ISBN: 9780323227803
Additional recommended books:
Navarro DJ and Foxcroft DR (2019). learning statistics with jamovi: a tutorial for psychology students and other beginners. (Version 0.70).
Field, A. (2013). Discovering Statistics using IBM SPSS Statistics (4th Ed.). SAGE Publications.
Liamputtong, P. (2013). Research Methods in Health: Foundations for Evidenced Based Practice: OUP Australia & New Zealand. (Note- this text is recommended also in Research Planning, and Research Project in Health)
Twisk, J. W. R. (2013). Applied Longitudinal Data Analysis for Epidemiology: A Practical Guide: Cambridge University Press.
Submission of assessment items
Special assessment requirements
To obtain an overall pass grade in this unit, the student must:
- Attempt all assessment items; and
- Obtain an overall aggregate mark of 50%.
Moderation: All the quizzes are indeed moderated, especially for the students scoring low compared to the rest of the group.
Moderation of assessment items:
All assessment items, including exams, are internally reviewed and moderated before they are published in unit outlines, listed on Canvas, or printed out for the final exam period. This review of assessment items is performed by another academic within the same field who has a good understanding of the subject matter and is be done as part of the unit curriculum review. Moderation of assessment items will be conducted in accordance with the Faculty of Health moderation guidelines.
Moderation of marking:
There is a random selection of assessment items that are moderated in a unit, including all failed assignments (excluding exams). The moderation of passing assessment items is based on a sample chosen randomly, on a percentage basis at different grade levels or the full range of submitted items to develop a common view about performance.
Students must apply academic integrity in their learning and research activities at 黑料吃瓜网. 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.
黑料吃瓜网 students have to complete the annually to learn about academic integrity and to understand the consequences of academic integrity breaches (or academic misconduct).
黑料吃瓜网 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 University of Canberra (Student Conduct) Rules 2023. For further advice, visit Study Skills.
Participation requirements
Students are expected to actively engage in this unit through Discussion pages, completing all online tasks and participating in ALL the Canvas discussion forums and activities. Assessment activities have been designed to stimulate students to put hands on the practical application and how to do/perform methods they have been exposed to.
Required IT skills
Information will be available to students via Canvas, an online educational hosting site.
It is expected that students will have basic word processing skills and an ability to use databases to search for journal articles.
Students will need access to statistical analysis software. SPSS or jamovi are encouraged and supported, but other options are available.
Students must be able to use the statistical software they choose to use. Examples and advice will generally be offered in SPSS or jamovi. This is not a software course, but candidates will gain statistical software proficiency throughout.
Students are encouraged to use reference management software.In-unit costs
Students who choose to purchase statistical software other than that which is provided by the University of Canberra will need to cover that cost themselves. We note that there also also free and/or open source statistical software packages available. Other learning resources will be available via the library, or freely online.
Work placement, internships or practicums
Not Applicable
- Semester 2, 2024, Flexible, 黑料吃瓜网 - Canberra, Bruce (217941)
- Winter Term, 2024, Flexible, 黑料吃瓜网 - Canberra, Bruce (216378)
- Semester 1, 2024, Flexible, 黑料吃瓜网 - Canberra, Bruce (217597)
- Winter Term, 2023, Flexible, 黑料吃瓜网 - Canberra, Bruce (215358)
- Semester 1, 2023, Flexible, 黑料吃瓜网 - Canberra, Bruce (212134)
- Semester 2, 2022, Flexible, 黑料吃瓜网 - Canberra, Bruce (208392)
- Winter Term, 2022, Flexible, 黑料吃瓜网 - Canberra, Bruce (205172)
- Semester 1, 2022, Flexible, 黑料吃瓜网 - Canberra, Bruce (206707)
- Semester 2, 2021, Flexible, 黑料吃瓜网 - Canberra, Bruce (203897)
- Winter Term, 2021, Flexible, 黑料吃瓜网 - Canberra, Bruce (203899)
- Semester 1, 2021, Flexible, 黑料吃瓜网 - Canberra, Bruce (203898)
- Semester 2, 2023, Flexible, 黑料吃瓜网 - Canberra, Bruce (213506)
