• Class Number 5715
  • Term Code 3360
  • Class Info
  • Unit Value 6 units
  • Mode of Delivery In Person
  • COURSE CONVENER
    • Giverney Ainscough
  • Class Dates
  • Class Start Date 24/07/2023
  • Class End Date 27/10/2023
  • Census Date 31/08/2023
  • Last Date to Enrol 31/07/2023
SELT Survey Results

This course equips participants with the necessary skills to analyse and interpret qualitative data to answer research and policy questions. Students will build on previous experience in designing qualitative research methods and data collection and will develop skills in using in-text analysis software, interpreting and discussing the results of their data analysis, and the process of writing and publishing qualitative research. The course will provide students with the skills necessary to undertake a range of different types of qualitative data analysis which may be applied in areas of social science research such as population health, demography, medicine, communication, political science and sociology.

Learning Outcomes

Upon successful completion, students will have the knowledge and skills to:

  1. understand a range of qualitative analysis approaches that are commonly employed across disciplines;
  2. critically evaluate the advantages and disadvantages of a variety of qualitative analysis methods and select appropriate methods for application;
  3. develop and apply skills in thematic coding techniques;
  4. apply skills in qualitative data analysis using appropriate data management software; and
  5. assemble and present the results of qualitative research analyses in written and oral formats.

Whether you are on campus or studying online, there are a variety of online platforms you will use to participate in your study program. These could include videos for lectures and other instruction, two-way video conferencing for interactive learning, email and other messaging tools for communication, interactive web apps for formative and collaborative activities, print and/or photo/scan for handwritten work and drawings, and home-based assessment.

ANU outlines recommended student system requirements to ensure you are able to participate fully in your learning. Other information is also available about the various Learning Platforms you may use.

Staff Feedback

Students will be given feedback in the following forms in this course:

  • written comments
  • verbal comments
  • feedback to whole class, groups, individuals, focus group etc

Student Feedback

ANU is committed to the demonstration of educational excellence and regularly seeks feedback from students. Students are encouraged to offer feedback directly to their Course Convener or through their College and Course representatives (if applicable). Feedback can also be provided to Course Conveners and teachers via the Student Experience of Learning & Teaching (SELT) feedback program. SELT surveys are confidential and also provide the Colleges and ANU Executive with opportunities to recognise excellent teaching, and opportunities for improvement.

Class Schedule

Week/Session Summary of Activities Assessment
1 Part One: Theoretical Explanations discusses relevant epistemological and ontological understandings of qualitative research, and their application to analytic method selection and process. This allows us to provide justification and explanation for how and why we chose research methods and analysis.
Workshop 1:
Introduction: Course goals and expectations, introductions to our research
2 Part One: Theoretical Explanations discusses relevant epistemological and ontological understandings of qualitative research, and their application to analytic method selection and process. This allows us to provide justification and explanation for how and why we chose research methods and analysis.
Workshop 2:
Epistemology and ontology: foundations of qualitative research: Explaining the philosophical underpinnings of qualitative research and analysis
3 Part One: Theoretical Explanations discusses relevant epistemological and ontological understandings of qualitative research, and their application to analytic method selection and process. This allows us to provide justification and explanation for how and why we chose research methods and analysis.
Workshop 3:
Examining data: Workshop to discuss data you will use in this course
4 Part Two: Types of qualitative analysis covers a few of the most common analytic approaches for qualitative data.
Workshop 4:
Thematic analysis / Grounded Theory: The basics of thematic analysis and grounded theory are discussed and debated for relevance to types of projects, RQ’s and data
5 Part Two: Types of qualitative analysis covers a few of the most common analytic approaches for qualitative data.
Workshop 5:
Narrative analysis / Content analysis: The basics of narrative analysis and content analysis are discussed and debated for relevance to types of projects, RQ’s and data
6 Part Two: Types of qualitative analysis covers a few of the most common analytic approaches for qualitative data.
Workshop 6:
Discourse analysis / Framework analysis: The basics of discourse analysis and framework analysis are discussed and debated for relevance to types of projects, RQ’s and data
7 Part Three: Coding and writing qualitative analysis takes us through the process of coding for multiple types of data (including observation, interviews, focus groups, and more). We start to learn the basics of coding, working from paper through to software, and how to present our findings.
Workshop 7:
Starting the coding process: Using your data, we will learn the basic steps of coding, from the ‘messy’ to the ‘presentable’: open coding, axial coding, and selective coding (manual)
8 Part Three: Coding and writing qualitative analysis takes us through the process of coding for multiple types of data (including observation, interviews, focus groups, and more). We start to learn the basics of coding, working from paper through to software, and how to present our findings.
Workshop 7:
Coding using software: As with last week, but this time we will learn how to use a management software for coding: open coding, axial coding, and selective coding (software: NVivo)
9 Part Three: Coding and writing qualitative analysis takes us through the process of coding for multiple types of data (including observation, interviews, focus groups, and more). We start to learn the basics of coding, working from paper through to software, and how to present our findings.
Workshop 9: Public Holiday

Tutorial Registration

ANU utilises MyTimetable to enable students to view the timetable for their enrolled courses, browse, then self-allocate to small teaching activities / tutorials so they can better plan their time. Find out more on the Timetable webpage.

Assessment Summary

Assessment task Value Due Date Learning Outcomes
Reflective analysis 25 % 24/08/2023 1
Coding project 30 % 21/09/2023
Qualitative analysis write-up 35 % 26/10/2023
Participation 10 % *

* If the Due Date and Return of Assessment date are blank, see the Assessment Tab for specific Assessment Task details

Policies

ANU has educational policies, procedures and guidelines , which are designed to ensure that staff and students are aware of the University’s academic standards, and implement them. Students are expected to have read the Academic Integrity Rule before the commencement of their course. Other key policies and guidelines include:

Assessment Requirements

The ANU is using Turnitin to enhance student citation and referencing techniques, and to assess assignment submissions as a component of the University's approach to managing Academic Integrity. For additional information regarding Turnitin please visit the Academic Skills website. In rare cases where online submission using Turnitin software is not technically possible; or where not using Turnitin software has been justified by the Course Convener and approved by the Associate Dean (Education) on the basis of the teaching model being employed; students shall submit assessment online via ‘Wattle’ outside of Turnitin, or failing that in hard copy, or through a combination of submission methods as approved by the Associate Dean (Education). The submission method is detailed below.

Moderation of Assessment

Marks that are allocated during Semester are to be considered provisional until formalised by the College examiners meeting at the end of each Semester. If appropriate, some moderation of marks might be applied prior to final results being released.

Participation

Students are expected to be present and actively engage during each workshop. You should be well prepared to engage with the course topic during workshop activities and discussions. Further details about the assessment and the rubric are provided on the course website.

Assessment Task 1

Value: 25 %
Due Date: 24/08/2023
Learning Outcomes: 1

Reflective analysis

This assessment is designed to start your thinking on the ethical, epistemological, and theoretical purpose of qualitative research. You must identify and then reflect on the following:

  • your chosen method of data collection; why you chose it, its strengths and weaknesses, and the implications for answering your research question/s
  • your chosen method of data analysis; why you chose it, its strengths and weaknesses, and the implications for answering your research question/s
  • the main ethical considerations you must address for both
  • the epistemological and ontological underpinnings of your methods and why they are the strongest choice for your research.


Word count: 1500


Further details about the assessment and the rubric are provided on the course website

Assessment Task 2

Value: 30 %
Due Date: 21/09/2023
Learning Outcomes: 

Coding project

Two-part assignment: coding and reflection. A practical assessment to start building your coding skills. Taking your own data (or data produced in class if needed), produce two types of coding analysis from the course. The coding section should be a minimum of 2000 words. The reflection section should be no longer than 500 words and include details on what you found difficult/interesting about your coding process, what went well or wrong, and what changes, if any, you need to make for your research project. Further details about the assessment and the rubric are provided on the course website

Assessment Task 3

Value: 35 %
Due Date: 26/10/2023
Learning Outcomes: 

Qualitative analysis write-up

Students are to write a 2000-word analysis of their data, presented as if in a journal or thesis. Sections should include introduction with research questions, justification for project, analysis of data, and discussion/conclusion. This assignment is designed to familiarise you with the final stage of presenting qualitative research. Further details about the assessment and the rubric are provided on the course website

Assessment Task 4

Value: 10 %
Learning Outcomes: 

Participation

Students are expected to be present and actively engage during each workshop. You should be well prepared to engage with the course topic during workshop activities and discussions. Further details about the assessment and the rubric are provided on the course website

Academic Integrity

Academic integrity is a core part of the ANU culture as a community of scholars. The University’s students are an integral part of that community. The academic integrity principle commits all students to engage in academic work in ways that are consistent with, and actively support, academic integrity, and to uphold this commitment by behaving honestly, responsibly and ethically, and with respect and fairness, in scholarly practice.


The University expects all staff and students to be familiar with the academic integrity principle, the Academic Integrity Rule 2021, the Policy: Student Academic Integrity and Procedure: Student Academic Integrity, and to uphold high standards of academic integrity to ensure the quality and value of our qualifications.


The Academic Integrity Rule 2021 is a legal document that the University uses to promote academic integrity, and manage breaches of the academic integrity principle. The Policy and Procedure support the Rule by outlining overarching principles, responsibilities and processes. The Academic Integrity Rule 2021 commences on 1 December 2021 and applies to courses commencing on or after that date, as well as to research conduct occurring on or after that date. Prior to this, the Academic Misconduct Rule 2015 applies.

 

The University commits to assisting all students to understand how to engage in academic work in ways that are consistent with, and actively support academic integrity. All coursework students must complete the online Academic Integrity Module (Epigeum), and Higher Degree Research (HDR) students are required to complete research integrity training. The Academic Integrity website provides information about services available to assist students with their assignments, examinations and other learning activities, as well as understanding and upholding academic integrity.

Online Submission

You will be required to electronically sign a declaration as part of the submission of your assignment. Please keep a copy of the assignment for your records. Unless an exemption has been approved by the Associate Dean (Education) submission must be through Turnitin.

Hardcopy Submission

For some forms of assessment (hand written assignments, art works, laboratory notes, etc.) hard copy submission is appropriate when approved by the Associate Dean (Education). Hard copy submissions must utilise the Assignment Cover Sheet. Please keep a copy of tasks completed for your records.

Late Submission

Individual assessment tasks may or may not allow for late submission. Policy regarding late submission is detailed below:

  • Late submission not permitted. If submission of assessment tasks without an extension after the due date is not permitted, a mark of 0 will be awarded.
  • Late submission permitted. Late submission of assessment tasks without an extension are penalised at the rate of 5% of the possible marks available per working day or part thereof. Late submission of assessment tasks is not accepted after 10 working days after the due date, or on or after the date specified in the course outline for the return of the assessment item. Late submission is not accepted for take-home examinations.

Referencing Requirements

The Academic Skills website has information to assist you with your writing and assessments. The website includes information about Academic Integrity including referencing requirements for different disciplines. There is also information on Plagiarism and different ways to use source material.

Extensions and Penalties

Extensions and late submission of assessment pieces are covered by the Student Assessment (Coursework) Policy and Procedure. Extensions may be granted for assessment pieces that are not examinations or take-home examinations. If you need an extension, you must request an extension in writing on or before the due date. If you have documented and appropriate medical evidence that demonstrates you were not able to request an extension on or before the due date, you may be able to request it after the due date.

Privacy Notice

The ANU has made a number of third party, online, databases available for students to use. Use of each online database is conditional on student end users first agreeing to the database licensor’s terms of service and/or privacy policy. Students should read these carefully. In some cases student end users will be required to register an account with the database licensor and submit personal information, including their: first name; last name; ANU email address; and other information.
In cases where student end users are asked to submit ‘content’ to a database, such as an assignment or short answers, the database licensor may only use the student’s ‘content’ in accordance with the terms of service – including any (copyright) licence the student grants to the database licensor. Any personal information or content a student submits may be stored by the licensor, potentially offshore, and will be used to process the database service in accordance with the licensors terms of service and/or privacy policy.
If any student chooses not to agree to the database licensor’s terms of service or privacy policy, the student will not be able to access and use the database. In these circumstances students should contact their lecturer to enquire about alternative arrangements that are available.

Distribution of grades policy

Academic Quality Assurance Committee monitors the performance of students, including attrition, further study and employment rates and grade distribution, and College reports on quality assurance processes for assessment activities, including alignment with national and international disciplinary and interdisciplinary standards, as well as qualification type learning outcomes.

Since first semester 1994, ANU uses a grading scale for all courses. This grading scale is used by all academic areas of the University.

Support for students

The University offers students support through several different services. You may contact the services listed below directly or seek advice from your Course Convener, Student Administrators, or your College and Course representatives (if applicable).

Giverney Ainscough
61250479
u4857280@anu.edu.au

Research Interests


Giverney Ainscough

Responsible Officer: Registrar, Student Administration / Page Contact: Website Administrator / Frequently Asked Questions