Postgraduate Course: Quantitative Data Analysis with SPSS (REDU11029)
Course Outline
| School | Moray House School of Education |
College | College of Humanities and Social Science |
| Credit level (Normal year taken) | SCQF Level 11 (Postgraduate) |
Availability | Available to all students |
| SCQF Credits | 20 |
ECTS Credits | 10 |
| Summary | 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. |
| Course description |
Not entered
|
Entry Requirements (not applicable to Visiting Students)
| Pre-requisites |
|
Co-requisites | |
| Prohibited Combinations | |
Other requirements | None |
Information for Visiting Students
| Pre-requisites | None |
Course Delivery Information
|
| Academic year 2014/15, Available to all students (SV1)
|
Quota: 19 |
| Course Start |
Full Year |
Timetable |
Timetable |
| Learning and Teaching activities (Further Info) |
Total Hours:
200
(
Lecture Hours 22,
Programme Level Learning and Teaching Hours 4,
Directed Learning and Independent Learning Hours
174 )
|
| Additional Information (Learning and Teaching) |
Please contact the course secretary before enrolling students to verify spaces available
|
| Assessment (Further Info) |
Written Exam
0 %,
Coursework
100 %,
Practical Exam
0 %
|
| Additional Information (Assessment) |
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 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. |
| Feedback |
Not entered |
| No Exam Information |
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.
|
Additional Information
| Graduate Attributes and Skills |
Not entered |
| Special Arrangements |
This course is open to students from other schools, however, please contact the course secretary prior to enrolling your Tutee in order to verify that there is space available; students on MSc Educational Research and MSc Education have priority. |
| Additional Class Delivery Information |
Classes are delivered fortnightly over both Semester 1 and 2.
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| Keywords | SPSS, Quantitative |
Contacts
| Course organiser | Prof Cristina Iannelli
Tel: (0131 6)51 6281
Email: C.Iannelli@ed.ac.uk |
Course secretary | Ms Mairi Ross
Tel: (0131 6)51 4241
Email: Mairi.Ross@ed.ac.uk |
|
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