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Research Methods (EDUC90220)
Graduate courseworkPoints: 12.5On Campus (Parkville)
For information about the University’s phased return to campus and in-person activity in Winter and Semester 2, please refer to the on-campus subjects page.
About this subject
- Overview
- Eligibility and requirements
- Assessment
- Dates and times
- Further information
- Timetable(opens in new window)
Contact information
Please refer to the LMS for up-to-date subject information, including assessment and participation requirements, for subjects being offered in 2020.
Overview
Availability | Semester 2 |
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Fees | Look up fees |
An integrated approach to research in the field of educational and developmental psychology. The interdependence of methods, measurement, design, and analysis is emphasised. Practical aspects of data management and statistical analysis (using SPSS) are included in the laboratory component. Specific multivariate techniques are studied, including their selection, use, interpretation, and reporting. Datasets relevant to the practice of educational psychology are analysed in exercises where students practice statistical analysis and interpretation.
Intended learning outcomes
On completion of this subject, students will have demonstrated capacity to:
- evaluate research literature in educational psychology and draw conclusions about satisfactory evidence-based approaches to psychological issues;
- competently select and use appropriate measurement techniques to address specific research questions;
- plan an independent enquiry in psychology and education.
Last updated: 10 February 2024
Eligibility and requirements
Prerequisites
This subject may be taken by 312AA Master of Educational Psychology and G02AA Master of Educational Psychology/Doctor of Philosophy students only.
Corequisites
None
Non-allowed subjects
None
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: 10 February 2024
Assessment
Due to the impact of COVID-19, assessment may differ from that published in the Handbook. Students are reminded to check the subject assessment requirements published in the subject outline on the LMS
Description | Timing | Percentage |
---|---|---|
A Review: Evaluation of an article with specific reference to the method and results sections
| Mid semester | 30% |
Research into Practice Task: Complete an integrative exercise demonstrating understanding of data collection procedures, data analysis and data reporting.
| Week 10 | 30% |
A Research Proposal: Compose a brief proposal for a research project. For students with extended experience and interest in statistical methods, an alternative project to one of the above tasks can be negotiated with the lecturer.
| End of semester | 40% |
Hurdle requirement: A minimum of 80% attendance at scheduled tutorials, seminars and workshops | Throughout the teaching period | N/A |
Last updated: 10 February 2024
Dates & times
- Semester 2
Principal coordinator Vicki McKenzie Mode of delivery On Campus (Parkville) Contact hours Total time commitment 170 hours Teaching period 3 August 2020 to 1 November 2020 Last self-enrol date 14 August 2020 Census date 21 September 2020 Last date to withdraw without fail 16 October 2020 Assessment period ends 27 November 2020
Time commitment details
170 hours
Last updated: 10 February 2024
Further information
- Texts
Prescribed texts
Field, A. (2018). Discovering statistics using IBM SPSS statistics (5th ed.).London: Sage
Recommended texts and other resources
Hair, J. F., Black, W. C., Babin, B. J. & Anderson, R.E. (2010) Multivariate Data Analysis. NJ: Prentice Hall.
Pallant, J. (2009). SPPS Survival Manual. NSW: Allen & Unwin. - Related Handbook entries
This subject contributes to the following:
Type Name Course Master of Educational Psychology/Doctor of Philosophy Course Master of Educational Psychology - Links to additional information
- Available to Study Abroad and/or Study Exchange Students
This subject is available to students studying at the University from eligible overseas institutions on exchange and study abroad. Students are required to satisfy any listed requirements, such as pre- and co-requisites, for enrolment in the subject.
Last updated: 10 February 2024