QUANTITATIVE RESEARCH METHODS IN HEALTH

PHE5QRM

2021

Credit points: 15

Subject outline

In this subject, students will learn methods to conduct quantitative research. Students will develop knowledge in defining research aims and questions, hypothesis, sampling, sample size and recruitment, study designs, data collection and analysis. They will learn questionnaire design, and biostatistical techniques required to analyse and draw inferences from health data. Students will use a statistical software package to perform statistical analyses. Students will be introduced to how to display and visualise data before going on to learn how to compare groups using t-tests, ANOVA, and chi-squared tests; test for relationships between two (or more) variables using correlation and linear and logistic regression and look at effect modification and interactions.

SchoolPsychology and Public Health

Credit points15

Subject Co-ordinatorBircan Erbas

Available to Study Abroad/Exchange StudentsYes

Subject year levelYear Level 5 - Masters

Available as ElectiveYes

Learning ActivitiesN/A

Capstone subjectNo

Subject particulars

Subject rules

PrerequisitesPHE5EPB OR PHE5HDD
PHE5HDD or PHE5EPB 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. Design ethical quantitative research projects using analytical approaches
02. Identify appropriate data collection instruments to answer quantitative research aims, questions and hypothesis.
03. Conduct critical appraisal of research evidence and methods in a systematic manner.
04. Interpret statistical evidence resulting from data exploration methods including descriptive data types, distributions, and graphical procedures and assess underlying assumptions.
05. Conduct appropriate statistical tests using Stata software package to address research questions

Subject options

Select to view your study options…

Start date between: and    Key dates

City Campus, 2021, LTU Term 3, Blended

Overview

Online enrolmentYes

Maximum enrolment sizeN/A

Subject Instance Co-ordinatorBircan Erbas

Class requirements

Computer LaboratoryWeek: 18 - 23
One 3.00 hours computer laboratory per week on weekdays during the day from week 18 to week 23 and delivered via face-to-face.
Additional curriculum delivered via LMS

Unscheduled Online ClassWeek: 0 - 0
One 3.00 hours unscheduled online class per week on any day including weekend during the day from week 0 to week 0 and delivered via blended.

Assessments

Assessment elementCommentsCategoryContributionHurdle% ILO*

Online quiz (1,000-words equivalent)

N/AQuizzesIndividualNo20 SILO4, SILO5

Written report and Peer Assessment (2,000 words)

N/AReportIndividualNo40 SILO1, SILO2, SILO3

Data analysis (2,000-words equiv.)

N/AOtherIndividualNo40 SILO4, SILO5

On-Line, 2021, LTU Term 3, Blended

Overview

Online enrolmentYes

Maximum enrolment sizeN/A

Subject Instance Co-ordinatorBircan Erbas

Class requirements

Scheduled Online ClassWeek: 18 - 23
One 3.00 hours scheduled online class per week on weekdays at night from week 18 to week 23 and delivered via online.

Assessments

Assessment elementCommentsCategoryContributionHurdle% ILO*

Online quiz (1,000-words equivalent)

N/AQuizzesIndividualNo20 SILO4, SILO5

Written report and Peer Assessment (2,000 words)

N/AReportIndividualNo40 SILO1, SILO2, SILO3

Data analysis (2,000-words equiv.)

N/AOtherIndividualNo40 SILO4, SILO5

City Campus, 2021, LTU Term 5, Blended

Overview

Online enrolmentYes

Maximum enrolment sizeN/A

Subject Instance Co-ordinatorBircan Erbas

Class requirements

Computer LaboratoryWeek: 0 - 0
One 3.00 hours computer laboratory per week on weekdays during the day from week 0 to week 0 and delivered via face-to-face.

Unscheduled Online ClassWeek: 0 - 0
One 3.00 hours unscheduled online class per week on any day including weekend during the day from week 0 to week 0 and delivered via blended.

Assessments

Assessment elementCommentsCategoryContributionHurdle% ILO*

Online quiz (1,000-words equivalent)

N/AQuizzesIndividualNo20 SILO4, SILO5

Written report and Peer Assessment (2,000 words)

N/AReportIndividualNo40 SILO1, SILO2, SILO3

Data analysis (2,000-words equiv.)

N/AOtherIndividualNo40 SILO4, SILO5

On-Line, 2021, LTU Term 5, Online

Overview

Online enrolmentYes

Maximum enrolment sizeN/A

Subject Instance Co-ordinatorBircan Erbas

Class requirements

Scheduled Online ClassWeek: 0 - 0
One 3.00 hours scheduled online class per week on weekdays at night from week 0 to week 0 and delivered via online.

Assessments

Assessment elementCommentsCategoryContributionHurdle% ILO*

Online quiz (1,000-words equivalent)

N/AQuizzesIndividualNo20 SILO4, SILO5

Written report and Peer Assessment (2,000 words)

N/AReportIndividualNo40 SILO1, SILO2, SILO3

Data analysis (2,000-words equiv.)

N/AOtherIndividualNo40 SILO4, SILO5