Quantitative Research Practice in Health PG (9585.4)
|Available teaching periods||Delivery mode||Location|
|View teaching periods|| Flexible
|| UC - Canberra, Bruce
|0.125||3||Faculty Of Health|
|Discipline||Study level||HECS Bands|
|Faculty Of Health||Post Graduate Level|| Band 2 2013-2020 (Expires 31 Dec 2020)
Band 2 2021 (Commenced After 1 Jan 2021)
Band 3 2021 (Commenced Before 1 Jan 2021)
Learning outcomesOn 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 attributes1. UC graduates are professional - communicate effectively
1. UC graduates are professional - employ up-to-date and relevant knowledge and skills
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
|Year||Location||Teaching period||Teaching start date||Delivery mode||Unit convener|
|2021||UC - Canberra, Bruce||Semester 1||08 February 2021||Flexible||Assoc Prof Theo Niyonsenga|
|2021||UC - Canberra, Bruce||Winter Term||01 June 2021||Flexible||Dr Richard Keegan|
|2021||UC - Canberra, Bruce||Semester 2||02 August 2021||Flexible||Dr Richard Keegan|
|2022||UC - Canberra, Bruce||Semester 1||07 February 2022||Flexible||Assoc Prof Theo Niyonsenga|
|2022||UC - Canberra, Bruce||Winter Term||30 May 2022||Flexible||Dr Richard Keegan|
|2022||UC - Canberra, Bruce||Semester 2||01 August 2022||Flexible||Dr Richard Keegan|
Carter, R., & Lubinsky, J. (2015). Rehabilitation Research: Principles and Applications (5th Edition). Paperback ISBN: 9781455759798. eBook ISBN: 9780323227803
Additional recommended books
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%.
Use of text matching software
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 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 can apply for an extension to the submission due date for an assessment item due to extenuating, evidenced circumstances (specific details are found in the Assessment Procedures). An extension must be applied for before the due date. Documentary evidence (e.g. medical certificate) will be expected for an extension to be granted, however this will not guarantee that the application will be successful. The Unit Convener or relevant Program Director/Course Convener will decide whether to grant an extension and the length of the extension.
An Assignment Extension form is available from the Student Forms page.
Late submission of assignments without an approved extension will result in a penalty of 5% reduced marks from the total available, per calendar day late. An assignment submitted over 7 days late will not be accepted.
Students are expected to actively engage in this unit through Discussion pages, completing all online tasks and participating in the Canvas discussion forums and activities (e.g., Peer Feedback).
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.
Required IT skills
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.
Work placement, internships or practicums
This unit is designed to support the design of quantitative resarch projects, for example within PhDs and MRes degrees. That frames the interpretation of WIL in this unit.
Academic Language: Academic writing style and language must be maintained throughout the unit, and within the unit Canvas forums
Clarity and Expression: Concepts should be analysed and discussed without unnecessary verbiage. Written work must demonstrate correct grammatical expression and spelling. Poor grammar obscures meaning in your discussion.
Use of resources: you are expected to read widely and use a variety of credible evidence to support your discussions. Your work must be supported by current published literature and fully referenced. Resources must not be limited to texts only. It is an expectation that you use database searches to obtain recent journal articles.
Referencing requirements: Please refer to the Academic Skills Program website for information on acknowledging sources in academic writing. Students are required to use APA 6th edition referencing style, see the following links: