HLTHPSYC 715 : Research Methods in Health Psychology

Medical and Health Sciences

2024 Semester One (1243) (15 POINTS)

Course Prescription

A review of the principal methods used in the design, conduct and analysis of studies in the health psychology area. This will focus on quantitative research, but qualitative methodologies will also be addressed.

Course Overview

This paper aims to provide a sound understanding of the research methods used in health psychology, together with their strengths and weaknesses and their data analysis procedures. The paper also endeavours to provide you with the practical skills to conduct research, and in particular, your Masters of Health Psychology thesis.

As the majority of health psychology studies employ quantitative methods, these methods are the focus of this paper. One lecture provides an introduction to qualitative research in health psychology.

The lectures cover aspects of research design, cultural considerations, principals of statistics, and calculating effect sizes and power. A number of sessions will cover statistical methods and data analysis using SPSS, one of the most commonly used statistical software packages in psychology.

2-hour lectures will be held on Wednesdays 8am - 10am at Grafton Campus. 

There are also 3 one-hour tutorials for you to practice using SPSS and ask any questions. 

Course Requirements

No pre-requisites or restrictions

Course Contacts

Course coordinator: Professor Elizabeth Broadbent. Building 507, room 3010, Grafton campus. Email e.broadbent@auckland.ac.nz Phone 373 7599 ext. 86756. Please feel free to ask any questions about the course.

Tutor: Isabella Pickering

Admin: Nikita Bansal nikita.bansal@auckland.ac.nz

Capabilities Developed in this Course

Capability 1: People and Place
Capability 2: Sustainability
Capability 3: Knowledge and Practice
Capability 4: Critical Thinking
Capability 5: Solution Seeking
Capability 6: Communication
Capability 7: Collaboration
Capability 8: Ethics and Professionalism
Graduate Profile: Master of Health Sciences

Learning Outcomes

By the end of this course, students will be able to:
  1. Describe and apply research designs (including observational, experimental, and qualitative) to health psychology (Capability 1.1)
  2. Be able to prepare a research proposal (Capability 1.2, 2.1, 3.1, 3.2, 3.3, 4.1, 5.1, 6.1 and 8.2)
  3. Demonstrate an understanding of meta-analyses and be aware of their advantages and disadvantages (Capability 2.1, 3.2, 3.3, 5.1, 6.1 and 8.2)
  4. Be able to perform power analyses and effect size calculations (Capability 3.2, 3.3 and 8.2)
  5. Use and apply SPSS statistical software to set up datasets and enter data (Capability 6.2)
  6. Describe and apply appropriate data screening procedures, as well as parametric and non-parametric statistic tests including correlation, regression, t-tests, ANOVA tests, chi square, mann-whitney, mediation and moderation (Capability 3.1, 3.2 and 3.3)
  7. Interpret, document and report the results of statistical analyses in APA format (Capability 6.2)
  8. Describe ethical requirements and cultural issues in health psychology research (Capability 1.1, 1.2, 2.1, 3.1, 4.1, 5.1, 6.1, 7.1, 8.1 and 8.2)
  9. Describe, analyse and consider strengths and weaknesses in quantitative and qualitative designs (Capability 3.1, 3.2 and 3.3)

Assessments

Assessment Type Percentage Classification
Research proposal 25% Individual Coursework
Final Exam 50% Individual Examination
Reports 10% Individual Coursework
Quizzes 15% Individual Test
Assessment Type Learning Outcome Addressed
1 2 3 4 5 6 7 8 9
Research proposal
Final Exam
Reports
Quizzes

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.

For this course, you can expect 2 hours of lectures, 2 hours of reading, and 6 hours of work on assignments per week on average. There are three 1-hour tutorials that replace 3 hours of reading for some weeks. 

Delivery Mode

Campus Experience

Attendance is required at scheduled activities including classes and tutorials  to complete components of the course.
Lectures will be available as recordings. Other learning activities including tutorials will not be available as recordings.
The course will not include live online events.
Attendance on campus is  required for the exam.
The activities for the course are scheduled as a standard weekly timetable.

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.

The following text is recommended after the mid semester break:

Field, A. (2018). Discovering statistics using IBM SPSS statistics (5th ed.). London: Sage.

The text is available from the University Book Shop at the Kate Edgar Information Commons on Symonds Street City Campus www.ubiq.co.nz (Links to an external site.). The book is quite comprehensive and will be a useful reference manual for next year when you have to analyse your own data. It is also available for short term loan (2 hour) at the University general library. 

Other readings for each lecture are provided online.

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.

Some students report finding the statistics challenging. We will check understanding as we progress through the statistics lectures.

Other Information

Please bring a laptop to class for the statistics classes. SPSS software is available to download from the University. Also bring a pen and paper for the quizzes.

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 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.

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 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 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.

Published on 07/12/2023 11:12 a.m.