MAORIHTH 711 : Special Topic: Māori Quantitative Methods

Medical and Health Sciences

2024 Semester One (1243) (15 POINTS)

Course Prescription

Provides students with an understanding of how to apply a Kaupapa Māori Research (KMR) approach to quantitative research methods (study design, analysis and dissemination) in the health sciences. It will expose students to a range of analytic and practical tools that can be drawn on in the design and conduct of quantitative research with Māori.

Course Overview

Particular attention will be paid to advancing critical thinking and critical reflection skills in relation to health research. With these skills, students will build an understanding of how quantitative health research can be used to empower indigenous groups and prevent marginalisation. Students will also critique historical and contemporary research approaches and the risks and benefits for Māori health.
Students will be required and supported to read widely on this subject, develop critical reflective practice, and present their work in written and oral presentation formats throughout the course.

Course Requirements

Prerequisite: MAORIHTH 301 or 701

Course Contacts

Course Director: Dr Donna Cormack, Te Kupenga Hauora Māori                             


Co-convenor: Dr. Sarah-Jane Paine, Te Kupenga Hauora Māori


Capabilities Developed in this Course

Capability 1: People and Place
Capability 3: Knowledge and Practice
Capability 4: Critical Thinking
Capability 5: Solution Seeking
Graduate Profile: Master of Public Health

Learning Outcomes

By the end of this course, students will be able to:
  1. Critique prevailing quantitative research methods used in health research and identify the potential risks to Māori health and health equity (Capability 3 and 4)
  2. Describe the conceptual issues underpinning Kaupapa Māori quantitative research methods and how they can be used to benefit Māori health and health equity (Capability 1 and 4)
  3. Identify the analytic options that are available for KMR and how to apply them (Capability 3 and 4)
  4. Design a data analysis plan informed by the tools and data available (Capability 3, 4 and 5)


Assessment Type Percentage Classification
Reading Reflections 20% Individual Coursework
Essay 30% Individual Coursework
Data Analysis plan 50% Individual Coursework
Assessment Type Learning Outcome Addressed
1 2 3 4
Reading Reflections
Data Analysis plan

Workload Expectations

This course is a standard 15 point course and students are expected to spend 10 hours per week involved in each 15 point course that they are enrolled in.

Delivery Mode

Campus Experience

Lectures will be available as recordings. Other learning activities may not be available as recordings.
The course will include live online events including group discussions.
The activities for the course are scheduled as a block delivery.

Learning Resources

Course materials are made available in a learning and collaboration tool called Canvas which also includes reading lists and lecture recordings (where available).

Please remember that the recording of any class on a personal device requires the permission of the instructor.

Students will have online access to CANVAS pages for this course (which is our online Student Learning Management system) from the first week of the semester. These pages will provide an overview of the course, assessments, teaching content, readings and resources.
Students are encouraged to find additional resource material to support learning and required assignments. Library and computer facilities with internet are available to students. Support in developing internet skills and library usage is included in the orientation package.

Student Feedback

At the end of every semester students will be invited to give feedback on the course and teaching through a tool called SET or Qualtrics. The lecturers and course co-ordinators will consider all feedback and respond with summaries and actions.

Your feedback helps teachers to improve the course and its delivery for future students.

Class Representatives in each class can take feedback to the department and faculty staff-student consultative committees.

Student feedback has informed some minor changes to the teaching day activities to ensure that they are engaging for those who attend both in person or via zoom.

Academic Integrity

The University of Auckland will not tolerate cheating, or assisting others to cheat, and views cheating in coursework as a serious academic offence. The work that a student submits for grading must be the student's own work, reflecting their learning. Where work from other sources is used, it must be properly acknowledged and referenced. This requirement also applies to sources on the internet. A student's assessed work may be reviewed for potential plagiarism or other forms of academic misconduct, using computerised detection mechanisms.

Class Representatives

Class representatives are students tasked with representing student issues to departments, faculties, and the wider university. If you have a complaint about this course, please contact your class rep who will know how to raise it in the right channels. See your departmental noticeboard for contact details for your class reps.

Inclusive Learning

All students are asked to discuss any impairment related requirements privately, face to face and/or in written form with the course coordinator, lecturer or tutor.

Student Disability Services also provides support for students with a wide range of impairments, both visible and invisible, to succeed and excel at the University. For more information and contact details, please visit the Student Disability Services’ website

Special Circumstances

If your ability to complete assessed coursework is affected by illness or other personal circumstances outside of your control, contact a member of teaching staff as soon as possible before the assessment is due.

If your personal circumstances significantly affect your performance, or preparation, for an exam or eligible written test, refer to the University’s aegrotat or compassionate consideration page

This should be done as soon as possible and no later than seven days after the affected test or exam date.

Learning Continuity

In the event of an unexpected disruption, we undertake to maintain the continuity and standard of teaching and learning in all your courses throughout the year. If there are unexpected disruptions the University has contingency plans to ensure that access to your course continues and course assessment continues to meet the principles of the University’s assessment policy. Some adjustments may need to be made in emergencies. You will be kept fully informed by your course co-ordinator/director, and if disruption occurs you should refer to the university website for information about how to proceed.

The delivery mode may change depending on COVID restrictions. Any changes will be communicated through Canvas.

Student Charter and Responsibilities

The Student Charter assumes and acknowledges that students are active participants in the learning process and that they have responsibilities to the institution and the international community of scholars. The University expects that students will act at all times in a way that demonstrates respect for the rights of other students and staff so that the learning environment is both safe and productive. For further information visit Student Charter


Elements of this outline may be subject to change. The latest information about the course will be available for enrolled students in Canvas.

In this course students may be asked to submit coursework assessments digitally. The University reserves the right to conduct scheduled tests and examinations for this course online or through the use of computers or other electronic devices. Where tests or examinations are conducted online remote invigilation arrangements may be used. In exceptional circumstances changes to elements of this course may be necessary at short notice. Students enrolled in this course will be informed of any such changes and the reasons for them, as soon as possible, through Canvas.