env3qrm quantitative research methods
QUANTITATIVE RESEARCH METHODS
ENV3QRM
2020
Credit points: 15
Subject outline
Quantitative Research Methods is concerned with the scientific method, the statistical design and analysis of studies in life sciences, and the critical evaluation of scientific literature. Students will learn how scientists discover causal relationships that explain how the natural world operates. Building upon the foundations learnt in STA1CTS Critical Thinking with Statistics, STA1LS Statistics for Life Sciences, or BIO2POS Practice of Science the subject covers the principles of statistical design for surveys, experiments, and observational studies; some new methods for analysing data, including analysis of variance (ANOVA), multiple regression, analysis of covariance (ANCOVA), and some nonparametric methods that are particularly suited to analysing multispecies ecological data; and how to critically evaluate the statistical arguments made in scientific reports and journal articles. Laboratory sessions and assignments will give students the opportunity to apply what they learn using the statistics packages SPSS and PRIMER.
SchoolLife Sciences (Pre 2022)
Credit points15
Subject Co-ordinatorWarren Paul
Available to Study Abroad/Exchange StudentsYes
Subject year levelYear Level 3 - UG
Available as ElectiveNo
Learning ActivitiesN/A
Capstone subjectNo
Subject particulars
Subject rules
PrerequisitesBIO2POS OR STA1LS OR STA1CTS
Co-requisitesN/A
Incompatible subjectsWEM2QRM
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
Statistics explained: An introductory guide for life scientists
Resource TypeBook
Resource RequirementRecommended
AuthorMcKillup, S.
Year2006
Edition/VolumeN/A
PublisherCAMBRIDGE UNIVERSITY PRESS
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
Subject options
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Melbourne (Bundoora), 2020, Semester 1, Blended
Overview
Online enrolmentYes
Maximum enrolment sizeN/A
Subject Instance Co-ordinatorWarren Paul
Class requirements
Computer LaboratoryWeek: 10 - 22
One 3.00 hours computer laboratory per week on weekdays during the day from week 10 to week 22 and delivered via face-to-face.
Incorporates a 1 hr online workshop with lecturer via Collaborate. Tutor will be in attendance face to face and lecturer will attend via Collaborate.
Assessments
| Assessment element | Category | Contribution | Hurdle | % | ILO* |
|---|---|---|---|---|---|
Assignment 1: Study Design (750 words) Assignment 2: Data Analysis & Critical Thinking (750 words)Assignment 1 is due in week 5, and Assignment 2 is due in week 12. | N/A | N/A | No | 40 | SILO1, SILO2, SILO3, SILO4, SILO5 |
2 hour final exam (open book) | N/A | N/A | No | 40 | SILO1, SILO2, SILO3, SILO4 |
Ten (10) online quizzes with 5-10 multiple choice questions on each quiz. (750 word equiv)Due weekly. | N/A | N/A | No | 20 | SILO1, SILO2, SILO3, SILO4, SILO5 |