HLTH462-24S2 (C) Semester Two 2024

Quantitative Methods in Health

15 points

Details:
Start Date: Monday, 15 July 2024
End Date: Sunday, 10 November 2024
Withdrawal Dates
Last Day to withdraw from this course:
  • Without financial penalty (full fee refund): Sunday, 28 July 2024
  • Without academic penalty (including no fee refund): Sunday, 29 September 2024

Description

This course will provide students with an understanding of key quantitative methodological issues in health research from the perspective of research designs and development of current best evidence in health.

This course will provide students with an understanding of key quantitative methods in health research from the perspective of research designs and development of current best evidence in health. Historical, philosophical, ethical and methodological issues influencing quantitative health research design will be examined and applied to the health research setting. Contemporary descriptive and influential methods for the analysis of common cross-sectional, case-control, cohort, and time-to-event designs will also be presented and undertaken in practical sessions using, where possible, original published research data (where appropriate permissions, consent, and de-identifications have been approved and undertaken). Model assumptions, fit, and limitations will also be covered for each design.

Learning Outcomes

  • On successful completion of this course students will:
  • have an enhanced understanding of the dominant quantitative scientific method as commonly employed in health research;
  • be introduced and be able to critique important philosophical perspectives of competing and augmenting methods and methodologies applied in this type of research;
  • have an ability to assess and evaluate quantitative health research quality, through implementation of best-practise guidelines and informed critique;
  • be able to understand, explain, conduct appropriate analyses, and critically assess predominant study designs within health research – especially as frequently applied by health dissertation and thesis students;
  • gain expertise in use of Jamovi software package for data analysis;
  • have an enhanced understanding of the links between research practice and biostatistics; and
  • to present both a written and oral overview and critique of research findings for peer review.
    • University Graduate Attributes

      This course will provide students with an opportunity to develop the Graduate Attributes specified below:

      Critically competent in a core academic discipline of their award

      Students know and can critically evaluate and, where applicable, apply this knowledge to topics/issues within their majoring subject.

      Employable, innovative and enterprising

      Students will develop key skills and attributes sought by employers that can be used in a range of applications.

Prerequisites

Subject to approval of the Head of School

Restrictions

Timetable Note

(Fr): Jul 21, 28
(Fr): Aug 4, 11, 18, 25
(Fr): Sep 15, 22, 29
(Fr): Oct 6, 13, 20
Attendance at class sessions is expected throughout the course. Students must attend and participate in the course sufficiently to meet the learning outcomes. Students and staff are expected to behave in a professional manner during class; i.e., arrive on time, refrain from mobile phone use and inform the lecturer if they must leave early.

Course Coordinator / Lecturer

Philip Schluter

Lecturer

Laurie McLay

Textbooks / Resources

There are no textbook required readings for this course. However, materials, readings, instructions, etc. are available on LEARN (http://learn.canterbury.ac.nz/).

Additional Course Outline Information

Academic integrity

All forms of cheating and dishonest practice are taken seriously and penalties will result. Students should refer to the Academic Misconduct Regulations (https://www.canterbury.ac.nz/regulations/general-regulations/academic-misconduct-regulations/).

Assessment and grading system

Assignments are graded on the University of Canterbury Grading Scale:  

Grade    GPA Value        Marks

A+              9            90 – 100
A                8            85 – 89.99
A-               7            80 – 84.99
B+              6            75 – 79.99
B                5            70 – 74.99
B-               4            65 – 69.99
C+              3            60 – 64.99
C                2            55 – 59.99
C-               1            50 – 54.99
D                0            40 – 49.99
E               -1             0 – 39.99

A Pass is 50 marks or over

Late submission of work

Work handed in after the due date with no extension granted is considered late. Late work will incur a penalty of 2% mark reduction per day after the specified deadline. Days late include weekend and holidays. Lecturers reserve the right not to mark late work, and no work will be accepted after assignments have been returned.

Requests for extensions

Under exceptional circumstances (e.g., illness, accident, bereavement or critical personal circumstances) individual students may be granted an extension of the due date for an assignment. Requests for extensions should be emailed to the lecturer at least two days prior to the due date for the assignment. Relevant evidence such as a medical certificate or a letter from a counsellor may be required.

Resubmissions

Resubmissions of assignments are not permitted in this course.

Disability Support

Students with disabilities may access the University’s Disability Resource Service to access support. Further information can be found on their website: http://www.canterbury.ac.nz/disability/

Indicative Fees

Domestic fee $1,191.00

* All fees are inclusive of NZ GST or any equivalent overseas tax, and do not include any programme level discount or additional course-related expenses.

Minimum enrolments

This course will not be offered if fewer than 5 people apply to enrol.

For further information see School of Health Sciences .

All HLTH462 Occurrences

  • HLTH462-24S2 (C) Semester Two 2024