ANALYSIS OF REPEATED MEASURES
Credit points: 15
Repeated measures data is used commonly in many disciplines including health, psychology, economics and biology. This subject provides students with the knowledge of how to perform the appropriate statistical analysis in a repeated measures data environment by using models such as the linear mixed model, correlated random effects model and marginal model. Students will learn how to examine research questions by applying these models using the R statistical package.
SchoolEngineering and Mathematical Sciences
Subject Co-ordinatorDavid Farchione
Available to Study Abroad/Exchange StudentsYes
Subject year levelYear Level 5 - Masters
Available as ElectiveNo
Prerequisites Must be admitted in the Master of Data Science (SMDS) and have passed STM4PSD or both STA4SS and STM4PM Other students require Coordinators Approval
Quota Management StrategyN/A
Quota-conditions or rulesN/A
Minimum credit point requirementN/A
Linear mixed models: A practical guide using statistical software
AuthorWest, B., Welch, K., and Galecki, A.
PublisherRoca Raton, FL: CRC Press.
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
Intended Learning Outcomes
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Melbourne (Bundoora), 2021, Semester 1, Blended
Maximum enrolment sizeN/A
Subject Instance Co-ordinatorDavid Farchione
Computer LaboratoryWeek: 11 - 22
One 1.00 hour computer laboratory per week on weekdays during the day from week 11 to week 22 and delivered via face-to-face.
Unscheduled Online ClassWeek: 10 - 22
One 2.00 hours unscheduled online class per week on any day including weekend during the day from week 10 to week 22 and delivered via online.
|Ten x 15 minute online quizzes (1500 word total equiv) Each quiz worth 1.5% Students can attempt each quiz a maximum of three times. Randomly assigned questions for each quiz instance.||N/A||N/A||No||15||SILO2|
|Three written assignments, submitted online (1750 words total equiv)||N/A||N/A||No||35||SILO1, SILO2, SILO3, SILO4|
|3 hour Final Exam (3000 word equiv)||N/A||N/A||No||50||SILO1, SILO2, SILO3, SILO4|