Note: This is an archived Handbook entry from 2012.
|Dates & Locations:|| |
This subject has the following teaching availabilities in 2012:Semester 1, Parkville - Taught on campus.
Timetable can be viewed here. For information about these dates, click here.
|Time Commitment:||Contact Hours: 24 hours |
Total Time Commitment:
72 hours non-contact. Attendance at all classes (tutorial/seminars/practical classes/lectures/labs) is obligatory. Failure to attend 80% of classes will normally result in failure in the subject.
|Recommended Background Knowledge:|| |
|Non Allowed Subjects:|| |
|Core Participation Requirements:||
For the purposes of considering request for Reasonable Adjustments under the Disability Standards for Education (Cwth 2005), and Students Experiencing Academic Disadvantage Policy, academic requirements for this subject are articulated in the Subject Description, Subject Objectives, Generic Skills and Assessment Requirements of this entry.
The University is dedicated to provide support to those with special requirements. Further details on the disability support scheme can be found at the HDisability Liaison Unit websiteH: Hhttp://www.services.unimelb.edu.au/disability/H
CoordinatorAssoc Prof Esther Care
Education Student Centre
An integrated approach to research in the field of educational and developmental psychology. The interdependence of measurement, design, and analysis is emphasised. Practical aspects of data management and analysis (using SPSS and AMOS) is included in the laboratory component. Specific multivariate techniques are studied - their selection, use, interpretation, and reporting. Datasets relevant to the practice of educational psychology are used to inform exercise hypotheses and analyses.
On completion of this subject, students should be able to:
Three written reports totalling 6,000 words (100 per cent) with a pass grade required in each assignment.
Due dates are at four, eight and twelve week points in the semester.
|Prescribed Texts:|| |
Tabachnick, B. G., & Fidell, L. S. (2007). Using multivariate statistics. MA: Pearson.
Hair, J. F., Black, W. C., Babin, B. J. & Anderson, R.E. (2010) Multivariate Data Analysis. NJ: Prentice Hall.
|Breadth Options:|| |
This subject is not available as a breadth subject.
|Fees Information:||Subject EFTSL, Level, Discipline & Census Date|
|Links to further information:||www.education.unimelb.edu.au|
Master of Educational Psychology |
Master of Educational Psychology/Doctor of Philosophy
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