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Advanced Design and Data Analysis (PSYC40005)
HonoursPoints: 12.5On Campus (Parkville)
About this subject
- Overview
- Eligibility and requirements
- Assessment
- Dates and times
- Further information
- Timetable(opens in new window)
Contact information
Overview
Availability | Semester 1 |
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Fees | Look up fees |
This subject provides an introduction to multivariate data analysis in the behavioural and social sciences, including the nature, rationale and application of a number of widely used multivariate data analysis models. For each model, issues covered include the nature of the model and its assumptions; situations in which the model might be applied; diagnostics for model adequacy; estimation and inference; interpretation; the use of the software package SPSS for model-fitting. Models will be selected from multiple regression; logistic regression; an introduction to path analysis and structural equation modelling; multivariate analysis of variance and discriminant analysis; multilevel models; principal components analysis and factor analysis; models for multivariate categorical data; cluster analysis and multidimensional scaling.
The first two lectures/tutorials of the subject will be taught on one day (six hours) in Orientation Week, thereby allowing students time to work on assessment tasks at the beginning of the semester.
Intended learning outcomes
This subject aims to:
- develop an appreciation of the role and methods for exploratory analysis of multivariate observations such as factor analysis; and multidimensional scaling and clustering
- develop an understanding of the forms and application of some major multivariate techniques including multivariate analysis of variance and variants, multilevel models, methods for categorical data analysis and structural equation modelling
- develop a critical understanding of multivariate methods for data analysis, particularly in relation to applicability, interpretation and inference
- develop skill in the use of the statistical software program SPSS for multivariate analysis
Generic skills
On completion of this subject, students should have a greater ability to: design research studies requiring complex quantitative observations; present and analyse complex quantitative information; and critically evaluate and interpret complex quantitative information.
Last updated: 3 November 2022
Eligibility and requirements
Prerequisites
Entry to the Psychological Sciences fourth year program via one of:
- Bachelor of Science (Degree with Honours) (BH-SCI); or
- Bachelor of Arts (Degree with Honours) (BH-ARTS); or
- Graduate Diploma in Psychology (Advanced) (GDA-PSYCH); or
- Master of Applied Psychology (MC-AP).
Corequisites
None
Non-allowed subjects
None
Recommended background knowledge
An accredited psychology major sequence
Inherent requirements (core participation requirements)
The University of Melbourne is committed to providing students with reasonable adjustments to assessment and participation under the Disability Standards for Education (2005), and the Assessment and Results Policy (MPF1326). Students are expected to meet the core participation requirements for their course. These can be viewed under Entry and Participation Requirements for the course outlines in the Handbook.
Further details on how to seek academic adjustments can be found on the Student Equity and Disability Support website: http://services.unimelb.edu.au/student-equity/home
Last updated: 3 November 2022
Assessment
Additional details
A written report of no more than 1000 words (20%) to be submitted early in the semester.
A written report of no more than 1500 words (30%) to be submitted in mid-semester.
And an examination of no more than two hours (50%) during the examination period.
Each piece of assessment must be completed (hurdle requirement).
Attendance at 80% or more of the laboratory classes is a hurdle requirement. In case of failure to meet the hurdle requirement, additional work will be required before a passing grade can be awarded.
Last updated: 3 November 2022
Dates & times
- Semester 1
Principal coordinator Adam Osth Mode of delivery On Campus (Parkville) Contact hours Six-hour workshop day in Orientation Week; 24 hours of lectures, 12 hours of laboratory classes. Total time commitment 170 hours Teaching period 23 February 2018 to 27 May 2018 Last self-enrol date 2 March 2018 Census date 31 March 2018 Last date to withdraw without fail 4 May 2018 Assessment period ends 22 June 2018
Time commitment details
Estimated total time commitment of 170 hours.
Last updated: 3 November 2022
Further information
- Texts
Prescribed texts
There are no prescribed texts
- Related Handbook entries
This subject contributes to the following:
Type Name Course Master of Commerce (Accounting) Course Graduate Diploma in Psychology (Advanced) Informal specialisation Psychology Informal specialisation Psychology
Last updated: 3 November 2022