MAORIHTH 711 : Special Topic: Māori Quantitative Methods

Medical and Health Sciences

2020 Semester Two (1205) (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

Capabilities Developed in this Course

Capability 1: Disciplinary Knowledge and Practice
Capability 2: Critical Thinking
Capability 3: Solution Seeking
Capability 4: Communication and Engagement
Capability 5: Independence and Integrity
Capability 6: Social and Environmental Responsibilities
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 1.1, 2.1 and 2.2)
  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 1.2, 1.3, 2.2 and 6.3)
  3. Identify the analytic options that are available for KMR and how to apply them (Capability 1.3, 3.1, 3.2, 4.1, 5.2 and 6.1)
  4. Design a data analysis plan informed by the tools and data available (Capability 1.3, 4.1, 4.2, 6.1 and 6.3)

Assessments

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
Essay
Data Analysis plan

Learning Resources

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.

Course Contacts

Course Director: Dr. Donna Cormack, Te Kupenga Hauora Māori,

Email: d.cormack@auckland.ac.nz

Dr. Donna Cormack (Kati Māmoe, Kai Tahu) is a Senior Lecturer at Te Kupenga Hauora Māori at the Faculty of Medical and Health Sciences, University of Auckland, New Zealand. She has a background in work on the collection and classification of ethnicity data in New Zealand, particularly as it relates to measuring and monitoring inequities, and in the impacts of racism on indigenous health. Her research and teaching interests also include critical and decolonial approaches to health research. She has a joint appointment with Te Rōpū Rangahau Hauora a Eru Pōmare, at the University of Otago (Wellington).

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

Email: sj.paine@auckland.ac.nz,  Phone: 09-923 4937; Extension: 84937

Dr. Sarah-Jane Paine (Tūhoe) is a Senior Lecturer at Te Kupenga Hauora Māori and Director of the Tōmaiora Research Group, Faculty of Medical and Health Sciences, University of Auckland. She holds science degrees from the University of Otago and a PhD in Public Health from Massey University. Sarah-Jane is an experienced Kaupapa Māori epidemiologist with a range of projects investigating ethnic inequities in health and the determinants of health across the life-course. Sarah-Jane teaches Māori Health and Kaupapa Māori research methods across a number of undergraduate and postgraduate  courses.

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.

Digital 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.

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 against online source material using computerised detection mechanisms.

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 at http://disability.auckland.ac.nz

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: https://www.auckland.ac.nz/en/students/academic-information/exams-and-final-results/during-exams/aegrotat-and-compassionate-consideration.html.

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

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 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 (https://www.auckland.ac.nz/en/students/forms-policies-and-guidelines/student-policies-and-guidelines/student-charter.html).

Disclaimer

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 you may be asked to submit your 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. The final decision on the completion mode for a test or examination, and remote invigilation arrangements where applicable, will be advised to students at least 10 days prior to the scheduled date of the assessment, or in the case of an examination when the examination timetable is published.

Published on 29/07/2020 12:04 p.m.