FMHU5003: Semester 2, 2022

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Units FMHU5003 Semester 2 2022 [Normal day]

Unit outline_

FMHU5003: Introduction to Qualitative Research in Health

Semester 2, 2022 [Normal day] - Camperdown/Darlington, Sydney

Overview

This unit of study introduces you to qualitative research in health. It is designed for beginners and people who want an advanced level introduction. We will examine core concepts like methodology and reflexivity; consider approaches to research design (including sampling and developing research questions), data collection (including interviewing, focus group, observation, visual methods) and analysis; and discuss frameworks for thinking about research ethics and research quality. You will get practical experience in research design, data collection, data analysis and evaluating published qualitative literature. Throughout we will consider the value of qualitative approaches for constructing knowledge about health and hear from working qualitative researchers about how they use qualitative methods in their work.

Unit details and rules

Academic unit	Public Health
Credit points	6
Prerequisites ?	None
Corequisites ?	None
Prohibitions ?	PUBH5505 or BACH5255 or QUAL5005
Assumed knowledge ?	None
Available to study abroad and exchange students	Yes

Teaching staff

Coordinator	Julie Mooney-Somers, julie.mooneysomers@sydney.edu.au
Lecturer(s)	Julie Mooney-Somers, julie.mooneysomers@sydney.edu.au

Type	Description	Weight	Due	Length
Assignment	Evaluating quality Essay evaluating the quality of published qualitative research paper	40%	Formal exam period Due date: 14 Nov 2022 at 23:00	2000 words
Outcomes assessed:
Assignment	Interviewing Conduct and transcribe interview, identify skills, reflect on performance	40%	Week 07 Due date: 12 Sep 2022 at 23:00	Transcribed interview & 3 short answers
Outcomes assessed:
Online task	Participation Respond to question related to learning activities or lectures	10%	Weekly	1 brief online activity per week
Outcomes assessed:
Online task	Quiz Weekly quizzes	10%	Weekly	2 questions per week
Outcomes assessed:

Assessment summary

Detailed information for each assessment can be found on Canvas.

Assessment criteria

See Cavnas for details

For more information see guide to grades.

Late submission

In accordance with University policy, these penalties apply when written work is submitted after 11:59pm on the due date:

Deduction of 5% of the maximum mark for each calendar day after the due date.
After ten calendar days late, a mark of zero will be awarded.

This unit has an exception to the standard University policy or supplementary information has been provided by the unit coordinator. This information is displayed below:

As per the University policy, unless you have be granted an extension (in writing) by your Unit Coordinator before the assignment due date, you may lose 5% of the total possible mark for every day late. If you think you will not meet the deadline, it is ALWAYS worth asking the Unit Coordinator for an informal extension. If you need longer than a few days then please apply for a Special Consideration.

Academic integrity

The Current Student website provides information on academic integrity and the resources available to all students. The University expects students and staff to act ethically and honestly and will treat all allegations of academic integrity breaches seriously.

We use similarity detection software to detect potential instances of plagiarism or other forms of academic integrity breach. If such matches indicate evidence of plagiarism or other forms of academic integrity breaches, your teacher is required to report your work for further investigation.

Use of generative artificial intelligence (AI) and automated writing tools

You may only use generative AI and automated writing tools in assessment tasks if you are permitted to by your unit coordinator. If you do use these tools, you must acknowledge this in your work, either in a footnote or an acknowledgement section. The assessment instructions or unit outline will give guidance of the types of tools that are permitted and how the tools should be used.

Your final submitted work must be your own, original work. You must acknowledge any use of generative AI tools that have been used in the assessment, and any material that forms part of your submission must be appropriately referenced. For guidance on how to acknowledge the use of AI, please refer to the AI in Education Canvas site.

The unapproved use of these tools or unacknowledged use will be considered a breach of the Academic Integrity Policy and penalties may apply.

Studiosity is permitted unless otherwise indicated by the unit coordinator. The use of this service must be acknowledged in your submission as detailed on the Learning Hub’s Canvas page.

Outside assessment tasks, generative AI tools may be used to support your learning. The AI in Education Canvas site contains a number of productive ways that students are using AI to improve their learning.

Learning support

Simple extensions

If you encounter a problem submitting your work on time, you may be able to apply for an extension of five calendar days through a simple extension.  The application process will be different depending on the type of assessment and extensions cannot be granted for some assessment types like exams.

Special consideration

If exceptional circumstances mean you can’t complete an assessment, you need consideration for a longer period of time, or if you have essential commitments which impact your performance in an assessment, you may be eligible for special consideration or special arrangements.

Special consideration applications will not be affected by a simple extension application.

Using AI responsibly

Co-created with students, AI in Education includes lots of helpful examples of how students use generative AI tools to support their learning. It explains how generative AI works, the different tools available and how to use them responsibly and productively.

Weekly schedule

WK	Topic	Learning activity
Week 01	What is qualitative research?	Tutorial (1.5 hr)
Week 02	Designing qualitative studies	Tutorial (1.5 hr)
Week 03	Interview overview and skills	Tutorial (1.5 hr)
Week 04	Observation / Focus Groups	Tutorial (1.5 hr)
Week 05	Visual methods	Tutorial (1.5 hr)
Week 06	Research ethics	Tutorial (1.5 hr)
Week 07	Key ideas	Tutorial (1.5 hr)
Week 08	Methodology	Tutorial (1.5 hr)
Week 09	Introducing analysis	Tutorial (1.5 hr)
Week 10	Thematic analysis	Tutorial (1.5 hr)
Week 11	Quality	Tutorial (1.5 hr)
Week 12	Value	Tutorial (1.5 hr)

Attendance and class requirements

Each enrolment mode has a different way to engage over the 12 weeks of semester:

ND-CC Campus students:

Enrol in approrpiate face to face tutorial group
Watch pre-recorded lectures
Complete required readings
Attend an in-person tutorial every week to undertake individual and group learning activities under the guidance of a tutor, discuss questions arising from lectures and readings, and prepare assessments
Complete a brief ASSESSED participation activity in the tutorial
Complete a brief ASSESSED quiz after completing lecture and readings

OL-CC online students:

Enrol in appropriate onine tutorial group
Watch pre-recorded lectures
Complete required readings
Attend a Zoom tutorial every week to undertake individual and group learning activities under the guidance of a tutor, discuss questions arising from lectures and readings, and prepare assessments.
Complete a brief ASSESSED participation activity in the tutorial
Complete a brief ASSESSED quiz after completing lecture and readings.

OL-CC online students unable to commit to live/synchronous engagement:

Enrol in appropriate asyncronous tutorial group
Watch pre-recorded lectures
Complete required readings
Self-directed weekly learning activities and assessed participation activities and quizzes
Watch a recording of a live Zoom tutorial

Study commitment

Typically, there is a minimum expectation of 1.5-2 hours of student effort per week per credit point for units of study offered over a full semester. For a 6 credit point unit, this equates to roughly 120-150 hours of student effort in total.

Required readings

Required readings are detailed in Canvas

Learning outcomes

Learning outcomes are what students know, understand and are able to do on completion of a unit of study. They are aligned with the University's graduate qualities and are assessed as part of the curriculum.

Outcomes
Graduate qualities

At the completion of this unit, you should be able to:

LO1. Understand the value of qualitative research;argue for the value and usefulness of qualitative research
LO2. Understand and apply the principles underlying qualitative study design
LO3. Understand and apply qualitative data collection principles, and evaluate personal data collection skills
LO4. Understand the principles shaping qualitative research practice, and justify research practice decisions in relation to these principles
LO5. Understand qualitative data analysis principles, and analyse qualitative data at an introductory level
LO6. Evaluate the quality and contribution to knowledge of published qualitative literature

Graduate qualities

The graduate qualities are the qualities and skills that all University of Sydney graduates must demonstrate on successful completion of an award course. As a future Sydney graduate, the set of qualities have been designed to equip you for the contemporary world.

GQ1	Depth of disciplinary expertise Deep disciplinary expertise is the ability to integrate and rigorously apply knowledge, understanding and skills of a recognised discipline defined by scholarly activity, as well as familiarity with evolving practice of the discipline.
GQ2	Critical thinking and problem solving Critical thinking and problem solving are the questioning of ideas, evidence and assumptions in order to propose and evaluate hypotheses or alternative arguments before formulating a conclusion or a solution to an identified problem.
GQ3	Oral and written communication Effective communication, in both oral and written form, is the clear exchange of meaning in a manner that is appropriate to audience and context.
GQ4	Information and digital literacy Information and digital literacy is the ability to locate, interpret, evaluate, manage, adapt, integrate, create and convey information using appropriate resources, tools and strategies.
GQ5	Inventiveness Generating novel ideas and solutions.
GQ6	Cultural competence Cultural Competence is the ability to actively, ethically, respectfully, and successfully engage across and between cultures. In the Australian context, this includes and celebrates Aboriginal and Torres Strait Islander cultures, knowledge systems, and a mature understanding of contemporary issues.
GQ7	Interdisciplinary effectiveness Interdisciplinary effectiveness is the integration and synthesis of multiple viewpoints and practices, working effectively across disciplinary boundaries.
GQ8	Integrated professional, ethical, and personal identity An integrated professional, ethical and personal identity is understanding the interaction between one’s personal and professional selves in an ethical context.
GQ9	Influence Engaging others in a process, idea or vision.

Outcome map

Learning outcomes	Graduate qualities
Learning outcomes

Responding to student feedback

This section outlines changes made to this unit following staff and student reviews.

Although this is the first time FMHU5003 has been offered, it is based on a previous unit PUBH5505. Since that unit was last offered we have expanded weekly tutorials options, offered additional support for asynchronous online students and added new content on visual data collection methods.

Additional information

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Additional costs

N/A

Site visit guidelines

N/A

Work, health and safety

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Disclaimer

The University reserves the right to amend units of study or no longer offer certain units, including where there are low enrolment numbers.

To help you understand common terms that we use at the University, we offer an online glossary.

Current students

Overview

Overview

Unit details and rules

Teaching staff

Assessment

Assessment

Assessment summary

Assessment criteria

Late submission

Academic integrity

Learning support

Learning support

Simple extensions

Special consideration

Using AI responsibly

Weekly schedule

Weekly schedule

Attendance and class requirements

Study commitment

Required readings

Learning outcomes

Learning outcomes

Graduate qualities

Outcome map

Responding to student feedback

Responding to student feedback

Additional information

Additional information

Additional costs

Site visit guidelines

Work, health and safety

Disclaimer

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