HLTHPSYC 715 : Research Methods in Health Psychology

Medical and Health Sciences

2020 Semester One (1203) (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 Thursdays 10am-12pm at Grafton Campus. 

There are also 3 one-hour tutorials for you to practice using SPSS and ask any questions. These will be held in the same room as the lectures.

Course Requirements

No pre-requisites or restrictions

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

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 1.2)
  2. Be able to conduct a literature review and prepare a research proposal (Capability 2.1, 2.2 and 2.3)
  3. Demonstrate an understanding of meta-analyses and be aware of their advantages and disadvantages (Capability 1.2, 2.1 and 2.2)
  4. Understand and analyse sample frequency distributions, power and effect sizes (Capability 1.1, 1.2 and 2.3)
  5. Use and apply SPSS statistical software to set up datasets and enter data (Capability 1.2)
  6. Understand 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 1.2)
  7. Be able to write the results of statistical analyses in APA format (Capability 2.2 and 4.1)
  8. Understand and explain ethical requirements and cultural issues in health psychology research (Capability 5.2 and 6.2)
  9. Describe, analyse and consider strengths and weaknesses in quantitative and qualitative designs (Capability 2.3 and 3.2)

Assessments

Assessment Type Percentage Classification
Literature review 20% Individual Coursework
Research proposal 30% Individual Coursework
Final Exam 50% Individual Coursework
Assessment Type Learning Outcome Addressed
1 2 3 4 5 6 7 8 9
Literature review
Research proposal
Final Exam

Learning Resources

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.

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: Mikaela Law (PhD student), email: mlaw382@aucklanduni.ac.nz

Admin: Reena D'Costa r.dcosta@auckland.ac.nz

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. 

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 20/01/2020 10:47 a.m.