HPY712 - Psychology Research Methods (Advanced)
Unit details
| Year: | 2022 unit information |
|---|---|
| Important Update: | 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 |
| Enrolment modes: | Trimester 2: Burwood (Melbourne), Waterfront (Geelong), Cloud (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 Graduate Diploma of Psychology and H664 Graduate Diploma of Psychology (Pre-Practice) |
| 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. |
| Scheduled learning activities - campus: | 1 x 2 hour seminar (campus) per week |
| Scheduled learning activities - cloud: | 1 x 2 hour seminar (online) 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 |
|---|---|---|
| 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 |
|---|---|---|---|
| Assessment 1: SPSS analytic task | 40% |
| |
| Assessment 2: AMOS analytic task | 20% |
| |
| Assessment 3: MCQ examination | 2 hours | 40% |
|
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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