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Research Proposal (DENT90108)
Graduate courseworkPoints: 25On Campus (Parkville)
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About this subject
- Overview
- Eligibility and requirements
- Assessment
- Dates and times
- Further information
- Timetable(opens in new window)
Contact information
Overview
Availability | Year Long |
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Fees | Look up fees |
This subject will introduce students to the principles of clinical research developing skills in different research methods and their associated benefits and disadvantages. Students will also learn about the methods for the critical appraisal of published studies and study designs along with planning and writing a research protocol, literature search methods and bibliography tools. In the second half of the year the students complete CLRS90010 Data Analysis in Clinical Research .
Data analysis methods are an integral part of modern clinical research. They are powerful techniques that enable researchers to draw meaningful conclusions from data collected through observation, survey, or experimentation.
However, data analysis is underpinned by different paradigms, schools of thought and alternative methodologies. Therefore consideration of the appropriate methods used must be undertaken when designing a study and selecting variables and groups.
This subject introduces students to the basic principles of qualitative and quantitative data analysis techniques. It will provide a functional grounding in the theoretical concepts behind each type of analysis, as well as exploration of the interpretation of data and the difference, where applicable, between clinical vs statistical significance.
Intended learning outcomes
On the completion of this subject, students will:
- Be competent in selecting and refining a research topic
- Be able to formulate a research question and precise objectives for their research project
- Be able to select appropriate research methods for testing the objectives;
- Be able to search and critically analyse relevant literature
- Demonstrate an understanding of the principles of ethical clinical research and of the responsibilities of researchers
- Understand statistical reasoning, including inference and the need for power and appropriate samples
- Comprehend the selection of appropriate statistical techniques to appraise scientific data; and have the ability to evaluate and synthesize research-based and professional literature
Generic skills
- Articulating the breadth of knowledge gained in a particular discipline
- Apply their understanding to research conception and design
- Communicate advanced concepts in written and oral form
- Exercise responsibility for their own learning
- Manage their time effectively
Last updated: 23 February 2023
Eligibility and requirements
Prerequisites
None
Corequisites
None
Non-allowed subjects
None
Inherent requirements (core participation requirements)
The University of Melbourne is committed to providing students with reasonable adjustments to assessment and participation under the Disability Standards for Education (2005), and the Assessment and Results Policy (MPF1326). Students are expected to meet the core participation requirements for their course. These can be viewed under Entry and Participation Requirements for the course outlines in the Handbook.
Further details on how to seek academic adjustments can be found on the Student Equity and Disability Support website: http://services.unimelb.edu.au/student-equity/home
Last updated: 23 February 2023
Assessment
Year Long
Description | Timing | Percentage |
---|---|---|
2 x 10-question multiple choice tests on LMS (mid-year)
| End of semester | 5% |
1 x 5000 words written Critical Appraisal (Mid Year)
| End of semester | 35% |
1 x 10-min oral Protocol presentation (end year)
| End of semester | 10% |
Formative Examination: To confirm a baseline understanding of statistics, all participants will be required to complete an online module followed by a formative examination. This will consist of a mixture of MCQ and extended match questions. The pass mark will be set at 80 but participants may complete the assessment repeatedly to achieve this hurdle. The examination is not timed but it must be completed prior to the commencement of the intensive teaching period. Participants will be unable to join the intensive teaching period until this task is successfully completed.
| Prior to the commencement of the intensive teaching period | N/A |
In-class report describing the rationale/justification/results of the analysis of a variety of different types of research data.
| Due at the completion of the intensive teaching period | 25% |
Examination (equivalent to 1500 words) on the last day of the intensive teaching period.
| End of the teaching period | 15% |
Critical discussion of the data analysis techniques reported in a clinical research study selected by negotiation with the Subject Co-ordinators.
| End of the assessment period | 10% |
Last updated: 23 February 2023
Dates & times
- Year Long
Principal coordinator Ivan Darby Mode of delivery On Campus (Parkville) Contact hours Total time commitment 408 hours Teaching period 28 February 2022 to 23 October 2022 Last self-enrol date 11 March 2022 Census date 31 May 2022 Last date to withdraw without fail 23 September 2022 Assessment period ends 18 November 2022
Time commitment details
408 Hours Indicative
Additional delivery details
This subject is delivered either partially or fully in-person in Second Half Year 2020. Please ensure you are able to attend any essential in-person requirements or speak to Stop 1 about alternative subject options.
Last updated: 23 February 2023
Further information
- Texts
Prescribed texts
There are no specifically prescribed or recommended texts for this subject.
Last updated: 23 February 2023