Quantitative Methods
Subject 481-813 (2008)
Note: This is an archived Handbook entry from 2008.Search for this in the current handbook
Credit Points: | 25.000 | ||||||||||||
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Level: | Graduate/Postgraduate | ||||||||||||
Dates & Locations: | This subject has the following teaching availabilities in 2008: Semester 1, - Taught on campus.
Timetable can be viewed here. For information about these dates, click here. | ||||||||||||
Time Commitment: | Contact Hours: 36 hours for internal mode students. External mode students can expect a total workload of approximately 240 hours. Total Time Commitment: Not available | ||||||||||||
Prerequisites: | None | ||||||||||||
Corequisites: | None | ||||||||||||
Recommended Background Knowledge: | None | ||||||||||||
Non Allowed Subjects: | None | ||||||||||||
Core Participation Requirements: |
For the purposes of considering request for Reasonable Adjustments under the Disability Standards for Education (Cwth 2005), and Student Support and Engagement Policy, academic requirements for this subject are articulated in the Subject Overview, Learning Outcomes, Assessment and Generic Skills sections of this entry. It is University policy to take all reasonable steps to minimise the impact of disability upon academic study, and reasonable adjustments will be made to enhance a student's participation in the University's programs. Students who feel their disability may impact on meeting the requirements of this subject are encouraged to discuss this matter with a Faculty Student Adviser and Student Equity and Disability Support: http://services.unimelb.edu.au/disability |
Coordinator
Thi Kim Cuc NguyenSubject Overview: | An examination of various methods of collection, display and analysis of quantitative data in program evaluation. Topics include: design of quantitative research strategies consistent with evaluation questions and objectives; survey design and sampling in evaluation research; experimental and quasi-experimental designs; development and testing of questionnaires and other data collection instruments; item selection, reliability and validity of construct measures; exploratory and statistical analysis including multi-variate techniques; methods for displaying and reporting analyses of quantitative data for various audiences. The subject emphasises the use of standard micro-computer packages and involves the parallel development of computing skills and non-mathematical understanding of quantitative approaches in evaluation. |
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Assessment: | Three exercises of 1,500 words (50 per cent) and an exercise of 3,500 words (50 per cent). |
Prescribed Texts: | None |
Recommended Texts: | Bryman, A. and Cramer, D. Quantitative Data Analysis with SPSS for Windows release 12 and 13: a guide for social scientists. London; New York: Routledge, 2004. Pedhazer, E.J. and Pedhazer S.L. Measurement, Design and Analysis: An Integrated Approach. Lawrence Erlbaum, Hillsdale NJ, 1991. |
Breadth Options: | This subject is not available as a breadth subject. |
Fees Information: | Subject EFTSL, Level, Discipline & Census Date |
Generic Skills: | Students who successfully complete the subject will:
Generic Skills: Students who successfully complete the subject will:
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Links to further information: | www.edfac.unimelb.edu.au |
Related Course(s): |
Doctor Of Education Doctor of Education Master of Assessment and Evaluation (Stream 100A) Coursework and ThesisA Master of Assessment and Evaluation (Stream 100B) Coursework Master of Assessment and Evaluation (Stream 150A) Coursework & Thesis A Master of Assessment and Evaluation (Stream 150B) Coursework Master of Assessment and Evaluation(Stream 150)Coursework & Major Thesis Master of Education (Stream 100A) Coursework and Thesis A Master of Education (Stream 100B)Coursework Master of Education (Stream 150) Major Thesis Master of Education (Stream 150A) Coursework and Thesis A Master of Education (Stream 150B) Coursework |
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