phe5qrm quant research methods
QUANTITATIVE RESEARCH METHODS IN HEALTH
PHE5QRM
2019
Credit points: 15
Subject outline
In this subject, students will learn biostatistical techniques and methods required to analyse and draw inferences from health data. Students will be introduced to a statistical software package and will learn how to use this to perform various statistical analyses. The subject covers the analysis of both continuous and categorical data commonly encountered in cross-sectional and cohort designs in public health. Students will be introduced to how to display and visualise data before going on to learn how to compare groups using-tests, ANOVA, and chi-squared tests, and how to test for relationships between two (or more) variables using correlation and linear and logistic regression. We will also look at how to calculate sample size and power estimates.
SchoolSchool of Psychology & Public Health
Credit points15
Subject Co-ordinatorBircan Erbas
Available to Study Abroad StudentsYes
Subject year levelYear Level 5 - Masters
Exchange StudentsYes
Subject particulars
Subject rules
Prerequisites Students enrolled in one of the following course codes HMPHC or HZPHID or HMG or HMHS or HMASCR or HZPHHA must pass all core first year subjects. Students from all other courses must pass PHE5HDD or an equivalent.
Co-requisitesN/A
Incompatible subjectsN/A
Equivalent subjectsN/A
Special conditionsN/A
Learning resources
Readings
| Resource Type | Title | Resource Requirement | Author and Year | Publisher |
|---|---|---|---|---|
| Readings | Essential Medical statistics | Recommended | Kirkwood and Sterne, 2003 | Blackwell |
Graduate capabilities & intended learning outcomes
01. Apply appropriate data exploration methods including descriptive data types, distributions, and graphical procedures to interpret statistical evidence and assess underlying assumptions.
- Activities:
- Series of topic based seminars, individual and group exercises
02. Apply the correct statistical tests (ANOVA, ANCOVA, linear and logistic regression) using Stata software package to address research questions.
- Activities:
- Series of topic based seminars, individual and group exercises
03. Design ethical quantitative research projects using analytical approaches.
- Activities:
- Series of topic based seminars, individual and group exercises using Stata
04. Critically appraise research evidence and methods.
- Activities:
- Series of topic based seminars, individual and group exercises using Stata
Subject options
Select to view your study options…
City Campus, 2019, Semester 1, Blended
Overview
Online enrolmentYes
Maximum enrolment sizeN/A
Enrolment information
Subject Instance Co-ordinatorBircan Erbas
Class requirements
Computer LaboratoryWeek: 10 - 22
One 3.0 hours computer laboratory every two weeks on weekdays during the day from week 10 to week 22 and delivered via face-to-face.
"Additional curriculum delivered via LMS"
Assessments
| Assessment element | Comments | % | ILO* |
|---|---|---|---|
| Three Online quizzes (500-words equivalent, each - total 1,500-words equiv.) | 30 | 01, 02, 03, 04 | |
| Two written reports (750-words equivalent, each - total 1,500-words equiv.) | 30 | 01, 03, 04 | |
| Written data analysis assignment (2,000-words equiv.) | 40 | 01, 02 |
Online, 2019, Semester 1, Online
Overview
Online enrolmentYes
Maximum enrolment sizeN/A
Enrolment information
Subject Instance Co-ordinatorBircan Erbas
Class requirements
Unscheduled Online ClassWeek: 10 - 22
One 3.0 hours unscheduled online class every two weeks on weekdays at night from week 10 to week 22 and delivered via online.
Assessments
| Assessment element | Comments | % | ILO* |
|---|---|---|---|
| Three Online quizzes (500-words equivalent, each - total 1,500-words equiv.) | 30 | 01, 02, 03, 04 | |
| Two written reports (750-words equivalent, each - total 1,500-words equiv.) | 30 | 01, 03, 04 | |
| Written data analysis assignment (2,000-words equiv.) | 40 | 01, 02 |