phe5qrm quantitative research methods in health

QUANTITATIVE RESEARCH METHODS IN HEALTH

PHE5QRM

2020

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.

SchoolPsychology and Public Health

Credit points15

Subject Co-ordinatorBircan Erbas

Available to Study Abroad/Exchange StudentsYes

Subject year levelYear Level 5 - Masters

Exchange StudentsNo

Available as ElectiveNo

Learning ActivitiesN/A

Capstone subjectNo

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

Quota Management StrategyN/A

Quota-conditions or rulesN/A

Special conditionsN/A

Minimum credit point requirementN/A

Assumed knowledgeN/A

Learning resources

Essential Medical statistics

Resource TypeBook

Resource RequirementRecommended

AuthorKirkwood and Sterne

Year2003

Edition/VolumeN/A

PublisherBlackwell

ISBNN/A

Chapter/article titleN/A

Chapter/issueN/A

URLN/A

Other descriptionN/A

Source locationN/A

Career Ready

Career-focusedNo

Work-based learningNo

Self sourced or Uni sourcedN/A

Entire subject or partial subjectN/A

Total hours/days requiredN/A

Location of WBL activity (region)N/A

WBL addtional requirementsN/A

Graduate capabilities & intended learning outcomes

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.

02. Apply the correct statistical tests (ANOVA, ANCOVA, linear and logistic regression using Stata software package to address research questions.

03. Design ethical quantitative research projects using analytical approaches.

04. Critically appraise research evidence and methods.

Subject options

Select to view your study options…

City Campus, 2020, Semester 1, Blended

Overview

Online enrolmentYes

Maximum enrolment sizeN/A

Enrolment informationN/A

Subject Instance Co-ordinatorBircan Erbas

Class requirements

Computer LaboratoryWeek: 10 - 22
One 3.00 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	Category	Contribution	Hurdle	%	ILO*
Three Online quizzes (500-words equivalent, each - total 1,500-words equiv.)	N/A	N/A	N/A	No	30	SILO1, SILO2, SILO3, SILO4
Two written reports (750-words equivalent, each - total 1,500-words equiv.)	N/A	N/A	N/A	No	30	SILO1, SILO3, SILO4
Written data analysis assignment (2,000-words equiv.)	N/A	N/A	N/A	No	40	SILO1, SILO2

On-Line, 2020, Semester 1, Online