HPY712 - Psychology Research Methods (Advanced)
Unit details
Year: | 2024 unit information |
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Enrolment modes: | Trimester 2: Burwood (Melbourne), Waterfront (Geelong), Online |
Credit point(s): | 1 |
EFTSL value: | 0.125 |
Unit Chair: | Trimester 2: Nicolas Kambouropoulos |
Cohort rule: | This unit is only available to students enrolled in H650, H664 |
Prerequisite: | Nil |
Corequisite: | Nil |
Incompatible with: | Nil |
Typical study commitment: | Students will on average spend 150 hours over the teaching period undertaking the teaching, learning and assessment activities for this unit. This will include educator guided online learning activities within the unit site. |
Educator-facilitated (scheduled) learning activities - on-campus unit enrolment: | 1 x 2 hour on-campus seminar per week |
Educator-facilitated (scheduled) learning activities - online unit enrolment: | 1 x 2 hour online seminar per week |
Content
This unit provides advanced coverage of multivariate data analysis. It is designed to provide students with a conceptual understanding of multivariate statistics as well as the practical knowledge of how to implement these analyses using common tools such as SPSS and AMOS. Specific topics include data hygiene, multivariate regression, exploratory and confirmatory factor analysis and structural equation modelling.
ULO | These are the Learning Outcomes (ULO) for this unit. At the completion of this unit, successful students can: | Deakin Graduate Learning Outcomes |
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ULO1 | Demonstrate ability to use a series of multivariate analytic techniques. | GLO1: Discipline-specific knowledge and capabilities |
ULO2 | Appraise the validity and application of a multivariate analytic technique. | GLO1: Discipline-specific knowledge and capabilities |
ULO3 | Critique and understand which multivariate technique is the most appropriate for a given problem. | GLO1: Discipline-specific knowledge and capabilities |
ULO4 | Examine the relationship between multivariate analytic techniques. | GLO1: Discipline-specific knowledge and capabilities |
ULO5 | Analyse the use of a multivariate analytic technique, and that this reveals the structural relationships between many variables. | GLO1: Discipline-specific knowledge and capabilities |
ULO6 | Defend and argue decision making in relation to data analysis and interpretation. | GLO1: Discipline-specific knowledge and capabilities |
Assessment
Trimester 2:Assessment description | Student output | Grading and weighting (% total mark for unit) | Indicative due week |
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Assessment 1: Analysis Task 1 | Written report - two parts | 1a - 30% 1b - 30% |
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Assessment 2: AMOS Task | Written report | 20% |
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Assessment 3: End-of-unit Assessment | 2 hours | 20% |
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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.
Learning Resource
The texts and reading list for the unit can be found on the University Library via the link below: HPY712 Note: Select the relevant trimester reading list. Please note that a future teaching period's reading list may not be available until a month prior to the start of that teaching period so you may wish to use the relevant trimester's prior year reading list as a guide only.
Unit Fee Information
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