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

Readings

Resource TypeTitleResource RequirementAuthor and YearPublisher
ReadingsEssential Medical statisticsRecommendedKirkwood and Sterne, 2003Blackwell

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

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Start date between: and    Key dates

City Campus, 2019, Semester 1, Blended

Overview

Online enrolmentYes

Maximum enrolment sizeN/A

Enrolment information

Subject Instance Co-ordinatorBircan Erbas

Class requirements

Computer Laboratory Week: 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 elementComments% 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 Class Week: 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 elementComments% 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