Unit outline_

FMHU5004: Qualitative Analysis and Writing in Health

Semester 1, 2025 [Online] - Camperdown/Darlington, Sydney

This advanced unit of study extends students' practical and theoretical knowledge of qualitative research to provide advanced concepts and skills in qualitative data analysis and writing. We will explore the principles of qualitative analysis, review different analytic strategies and key analytic tools. You will learn how to develop codes and themes, use memos and analytic maps, and interpret data through the process of writing. You will learn about starting writing, structuring articles, making analytic arguments, and editing your own work. Throughout, we will consider what it means to think and write 'qualitatively'. Students will conduct a Thematic Analysis on a portfolio of qualitative data and produce a results and discussion section for a journal article. After completing this unit, you will have increased your experience, skills and confidence in qualitative data analysis and writing.

Unit details and rules

Academic unit Public Health
Credit points 6
Prerequisites
? 
FMHU5003 or PUBH5505 or QUAL5005 or QUAL5006 or GLOH5201
Corequisites
? 
None
Prohibitions
? 
PUBH5506
Assumed knowledge
? 

Students should have an understanding of qualitative research as this unit does not cover research design or data collection. Students looking for an introductory level unit should take FMHU5003 Introduction to Qualitative Research in Health.

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
The census date for this unit availability is 31 March 2025
Type Description Weight Due Length
Assignment AI Allowed Polished analysis
Polished abstract, methods, analysis, discussion (3400 words) + <100 word reflection
30% Formal exam period
Due date: 10 Jun 2025 at 23:59
3500 words
Outcomes assessed: LO1 LO2 LO3 LO4 LO5
Small continuous assessment AI Allowed Presenting your ideas
Discuss ideas (candidate theme; core concept; analytic story) and address feedback
30% Multiple weeks 3 x 5 min discussions
Outcomes assessed: LO2 LO3 LO4
Assignment AI Allowed Coding and memo writing
3 x coded transcripts + 3 x < 250word memos
10% Week 04
Due date: 17 Mar 2025 at 23:59
< 750 words
Outcomes assessed: LO1 LO2
Assignment AI Allowed Developing candidate themes
3 x < 250 word memos + < 100 word reflection
10% Week 07
Due date: 07 Apr 2025 at 23:59
< 850 words
Outcomes assessed: LO1 LO2 LO4
Assignment AI Allowed Draft analysis
1500 word draft analysis memo + <100 word reflection
20% Week 11
Due date: 12 May 2025 at 23:59
< 1600 words
Outcomes assessed: LO1 LO2 LO3 LO4
AI allowed = AI allowed ?

Assessment summary

There are four written assessments: Coding and memo writing (10%); Developing candidate themes (10%); Draft analysis (20%); Polished analysis (20%). A series of interactive oral assessments is conducted across three workshops: Presenting your ideas (30%).

You will receive a set of transcripts. For each assessment you will apply the techniques you have learnt and practiced in the workshop. This stepped approach is designed to build your skills and confidence, and allow us to assess your understanding of a common data analysis technique, your application of writing skills, and your ability to apply these to the process of analysis and the production of a polished piece of analysis. These are core skills for any researcher.

You will use your work on each assignment task to inform the subsequent assignment. That is, each assignment relies on the successful and timely completion of the previous assignment task. Meeting the assignment deadline will allow the marker to provide you with timely feedback so you can also use feedback to improve subsequent work.

The following uses of AI tools are prohibited:

  • Do not - under any circumstances - enter raw research data, transcripts or participant quotes into any AI tool.
  • You cannot use AI to write the first draft of any of your assignments.
  • You should not copy and paste text generated by AI without incorporating original writing and your own interpretation.
  • It is your responsibility to ensure that anything produced by AI is accurate, referenced appropriately, and reflects your thinking. (AI does not know best!)

The following uses of AI tools are permitted:

  • Generating ideas. You could ‘talk’ with CoPilot about the codes you are generating and what patterns you are seeing.  
  • Suggesting a structure or outline for your memos.
  • Searching for and summarising relevant literature to help interpret your data, themes/core concepts, and the implications of your findings.
  • Translation, or to help you understand words or phrases in the transcripts.
  • ChatGPT, CoPilot, and automatic writing tools like Grammarly can be helpful for checking grammar, and for editing, polishing, and proofreading initial drafts.
  • We may provide specially-developed AI agents - we encourage you to use these to help you complete the unit. 

While you can use AI for assessments, please remember the value of these assessments as a learning activity is for you to practise and develop your thinking, analytic and writing skills. We want you to finish the unit feeling confident in YOUR skills.  

Finally, you must declare your use of AI by adding a note at the end of your assessment describing the AI tool(s) you used, what you used it/them to do, and how you used the AI output.

Assessment criteria

Individual rubrics for each assessment are available on Canvas

For more information see guide to grades.

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

Except for supervised exams or in-semester tests, you may use generative AI and automated writing tools in assessments unless expressly prohibited by your unit coordinator. 

For exams and in-semester tests, the use of AI and automated writing tools is not allowed unless expressly permitted in the assessment instructions. 

The icons in the assessment table above indicate whether AI is allowed – whether full AI, or only some AI (the latter is referred to as “AI restricted”). If no icon is shown, AI use is not permitted at all for the task. Refer to Canvas for full instructions on assessment tasks for this unit. 

Your final submission must be your own, original work. You must acknowledge any use of automated writing tools or generative AI, and any material generated that you include in your final submission must be properly referenced. You may be required to submit generative AI inputs and outputs that you used during your assessment process, or drafts of your original work. Inappropriate use of generative AI is considered a breach of the Academic Integrity Policy and penalties may apply. 

The Current Students website provides information on artificial intelligence in assessments. For help on how to correctly acknowledge the use of AI, please refer to the  AI in Education Canvas site

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:

In accordance with University policy, when written work is submitted after 11:59pm on the due date (or the granted extension), the Unit Coordinator may apply a deduction of 5% of the maximum mark for each calendar day after the due date, and after ten calendar days late, may award a mark of zero.

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.

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.

Support for students

The Support for Students Policy reflects the University’s commitment to supporting students in their academic journey and making the University safe for students. It is important that you read and understand this policy so that you are familiar with the range of support services available to you and understand how to engage with them.

The University uses email as its primary source of communication with students who need support under the Support for Students Policy. Make sure you check your University email regularly and respond to any communications received from the University.

Learning resources and detailed information about weekly assessment and learning activities can be accessed via Canvas. It is essential that you visit your unit of study Canvas site to ensure you are up to date with all of your tasks.

If you are having difficulties completing your studies, or are feeling unsure about your progress, we are here to help. You can access the support services offered by the University at any time:

Support and Services (including health and wellbeing services, financial support and learning support)
Course planning and administration
Meet with an Academic Adviser

WK Topic Learning activity Learning outcomes
Ongoing Watching lecture recordings, doing set readings, completing pre-workshop activities Independent study (20 hr) LO1 LO2 LO3 LO4 LO5
Week 02 Introducing Analysis I Workshop (7 hr) LO1 LO2
Introducing Analysis II Workshop (4 hr) LO1 LO2
Week 05 Theming Workshop (7 hr) LO1 LO2 LO4
Week 09 Interpretation Workshop (7 hr) LO1 LO2 LO3 LO4
Week 12 Writing Workshop (7 hr) LO1 LO2 LO3 LO4 LO5

Attendance and class requirements

There are 5 scheduled workshops throughout the semester. These are all about interaction, hands on learning activities, and setting you up for assessments.

You should attend the live workshops either face-to-face or via Zoom, according to your enrolment mode.

Attendance at these sessions is not compulsory but is STRONGLY encouraged. Participating in discussion around analysis and interpretation of data are a fundamental part of learning. The interactive nature and hands on practice involved in the workshops, means recordings are not a good substitute for attendance. If you do not attend workshops 3, 4, and you will not be able to complete the Presenting your ideas assessment (worth 30%).

Workshop days are officially timetabled for the whole day with a 1 hour lunch break (see Canvas for precise times). 

Most lecture content will not be delivered live in the workshops. Please complete the required pre-workshop tasks so you can use the workshop space for implementing techniques and developing confidence and preparing for assessment.   

As this is a six-credit point unit, you should expect to spend at least 126 hours on completing the work required, including attending workshops, participating in learning activities, reading the compulsory readings and completing assessment tasks.

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

Refer to Canvas

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.

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

  • LO1. understand, explain and apply fundamental principles underlying qualitative analysis
  • LO2. systematically implement the key steps of one analytic method to a set of data
  • LO3. develop an analytic argument in a piece of qualitative writing and use data appropriately to advance this argument
  • LO4. understand and apply feedback to your analytic work and writing
  • LO5. reflect on challenges and identify strategies to improve your writing quality and productivity

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
GQ1 GQ2 GQ3 GQ4 GQ5 GQ6 GQ7 GQ8 GQ9

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

Feedback shows students are pretty happy with the unit of study. They find the unit intellectually demanding and engaging, well structured, with meaningful activities oriented to real world research settings. Students say they felt supported working through the assessments. In response to feedback, the following changes have been made for 2025: • I will record group assessment feedback and provide it along with the individual feedback before the workshop. • More time for interaction in the workshops, for students to engage with each other, and to ask the lecturers specific questions. I have extended the workshops by an hour to allow this. • I'll be implementing some ideas in the workshops to make the analysis process more collaborative, including time for each student to present their ideas and gain feedback. I have revised the assessments to respond to the challenges and opportunities offered by Artificial Intelligence.

Refer to Canvas

Additional costs

NA

Site visit guidelines

NA

Work, health and safety

NA

Disclaimer

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