2022 unit information
Unit delivery will be in line with the most current COVIDSafe health guidelines. We continue to tailor learning experiences for each unit to achieve the best possible mix of online and on-campus activities that successfully blend our approaches to learning, working and research. Please check your unit sites for announcements and updates.
Last updated: 4 March 2022
HPS907 and HPS707
Students will on average spend 150 hours over the teaching period undertaking the teaching, learning and assessment activities for this unit.
Learning experiences are via CloudDeakin 1 x 1 hour weekly class delivered cloud (online) plus 1 x 2 hour weekly blackboard collaborate seminar or equivalent each
Students should consult with their PhD supervisors with regard to selection of elective topics
This unit will focus on a variety of methodological approaches to research based upon the scientist-practitioner model of evidence-based practice. The course will provide an overview of data management, basic Structural Equation Modeling, and basic qualitative analysis. Students are expected to be familiar with univariate statistical techniques prior to commencing the course, and have some familiarity with multivariate techniques. Students will be required to screen, clean, and prepare data for analysis and to undertake preliminary univariate and multivariate screening assessment.
Students will be able to read and follow the basics of a series of multivariate analytic techniques.
GLO1: Discipline-specific knowledge and capabilitiesGLO3: Digital literacyGLO4: Critical thinkingGLO5: Problem solvingGLO6: Self-management
Students will be able to assess if a multivariate analytic technique has been validly applied.
GLO3: Digital literacyGLO4: Critical thinkingGLO5: Problem solvingGLO6: Self-management
Students will be able to decide which multivariate technique is the most appropriate for a given problem.
Advanced students will be able to understand the relationship between multivariate analytic techniques.
Advanced students will understand the deep meaning of a multivariate analytic technique, and that this reveals the structural relationships between many variables.
Extremely advanced students will understand how to generalise from the techniques studied, and understand new techniques as these arise.
GLO1: Discipline-specific knowledge and capabilitiesGLO2: CommunicationGLO3: Digital literacyGLO4: Critical thinkingGLO5: Problem solvingGLO6: Self-management
The assessment due weeks provided may change. The Unit Chair will clarify the exact assessment requirements, including the due date, at the start of the teaching period.
There is no prescribed text. Unit materials are provided via the unit site. This includes unit topic readings and references to further information.
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