Postgraduate Course: Quantitative Data Analysis with SPSS (REDU11029)
Course Outline
| School |
Moray House School of Education |
College |
College of Humanities and Social Science |
| Course type |
Standard |
Availability |
Available to all students |
| Credit level (Normal year taken) |
SCQF Level 11 (Postgraduate) |
Credits |
20 |
| Home subject area |
Research (EDU) |
Other subject area |
None |
| Course website |
None |
|
|
| Course description |
This course provides students with practical experience of the management and analysis of quantitative data. Using examples of research in education and other fields the unit explores the nature of quantitative data, the relationship between quantitative analysis and theory building, and some of the major topic areas of statistical analysis. |
Entry Requirements
| Pre-requisites |
|
Co-requisites |
|
| Prohibited Combinations |
|
Other requirements |
None
|
| Additional Costs |
None |
Course Delivery Information
|
| Delivery period: 2010/11 Semester 2, Available to all students (SV1)
|
WebCT enabled: Yes |
Quota: None |
| Location |
Activity |
Description |
Weeks |
Monday |
Tuesday |
Wednesday |
Thursday |
Friday |
| No Classes have been defined for this Course |
| First Class |
First class information not currently available |
| Additional information |
Classes delivered fortnightly taught over Semester 1 and 2.
Semester 1; Thursdays 10am - 12.30 Thomsons Land 1/12.
Semester 2; Fridays 10am - 12.30 Thomsons Land 1/12. |
Summary of Intended Learning Outcomes
By the end of the course students will be able to:
a) identify different types of quantitative data;
b) understand the main features of, and considerations involved in, the collection and management of quantitative data;
c) explain and be able to demonstrate the basic techniques of statistical analysis; and
d) demonstrate knowledge of issues related to the interpretation of data analysis and the presentation of findings. |
Assessment Information
| The final assessment will involve a small project. Course members will be supplied with a computer file containing data and an outline of a research context to which the data in the file relate. The assessment will consist of selecting appropriate analytical techniques to explore the data and throw light on the research question. The assignment will include a commentary on which techniques were used for which purpose and why; computer output giving the results of the application of the techniques; and a discussion giving an interpretation of these results, what inferences can be based on them and what limitations should be placed on these inferences. |
| Please see Visiting Student Prospectus website for Visiting Student Assessment information |
Special Arrangements
| Not entered |
Contacts
| Course organiser |
Dr Cristina Iannelli
Tel: (0131 6)51 6281
Email: C.Iannelli@ed.ac.uk |
Course secretary |
Miss Diane Prayle
Tel: (0131 6)51 6305
Email: Diane.Prayle@ed.ac.uk |
|
copyright 2010 The University of Edinburgh -
1 September 2010 6:38 am
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