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 course 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 |
This course will provide postgraduate students with an introduction to the main statistical concepts and techniques of analysis of quantitative data used in education and more widely in social sciences. It is addressed to students who have little or no experience of using quantitative data and it aims to enable students to develop an understanding of basic and intermediate quantitative methods and the ability to use these methods. Moreover, the course will support students in learning the statistical programme SPSS.
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Entry Requirements (not applicable to Visiting Students)
| Pre-requisites |
Students MUST have passed:
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Co-requisites | |
| Prohibited Combinations | |
Other requirements | None |
Information for Visiting Students
| Pre-requisites | None |
| High Demand Course? |
Yes |
Course Delivery Information
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| Academic year 2017/18, Available to all students (SV1)
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Quota: 24 |
| Course Start |
Full Year |
| Course Start Date |
18/09/2017 |
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 )
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| Additional Information (Learning and Teaching) |
Please contact the course secretary before enrolling students to verify spaces available
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| Assessment (Further Info) |
Written Exam
0 %,
Coursework
100 %,
Practical Exam
0 %
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| 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) Understand the links between theory and method and the potential and limits of quantitative evidence; b) Master descriptive and exploratory data analysis techniques; c) Be able to understand and apply a range of quantitative methods; d) be able to interpret and effectively present the results of statistical analyses; and e) Have experience of working with data sets and using the computer software SPSS for all the statistical analyses covered by the course
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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: |
Course secretary | Ms Mairi Ross
Tel: (0131 6)51 4241
Email: |
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