Postgraduate Course: Core quantitative data analysis for social research: part 2 (PGSP11079)
Course Outline
| School |
School of Social and Political Science |
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 |
10 |
| Home subject area |
Postgrad (School of Social and Political Studies) |
Other subject area |
None |
| Course website |
None
|
Taught in Gaelic? |
No |
| Course description |
This web-based course aims to give postgraduate students an understanding of core statistical concepts and methods for social research. The course is designed for students who have a basic grasp of descriptive and exploratory statistics (e.g. as in CQDASR- part 1) and a working knowledge of SPSS. In particular, and in line with ESRC postgraduate research training guidelines, the course aims to ensure that all students completing the course are able to demonstrate proficiency in certain key methods. Students will also achieve a level of competence that enables them to use, model and interpret inferential and simple multivariate statistical analysis.
The course will explore principles of inference, measures of association and elementary multivariable analysis. Course content will include: elementary probability distributions; estimation and population variance; hypothesis testing and significance tests; tabular data; measures of association between variables at different levels of measurement; modelling through contingency tables and multiple regression.
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Entry Requirements
| Pre-requisites |
|
Co-requisites |
|
| Prohibited Combinations |
|
Other requirements |
None
|
| Additional Costs |
None |
Information for Visiting Students
| Pre-requisites |
None |
| Displayed in Visiting Students Prospectus? |
Yes |
Course Delivery Information
|
| Delivery period: 2010/11 Semester 1, 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 |
Semester 2 weeks 6-11 when taken as stand alone 10 credit option. Those taking parts 1 & 2 should register for P02137 |
| No Exam Information |
Summary of Intended Learning Outcomes
By the end of the course students will:
o Be able to understand and apply a range of quantitative methods and tools
o Understand statistical modelling and be capable of using SPSS for Windows to perform statistical analysis.
o Have experience of working with large data sets at different levels of aggregation
o Understand how to access information about data sources
o Have experience of utilising web-based resources for learning
o Be able to efficiently access IT resources
o Be able to use computer software for statistical analysis of several variables
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Assessment Information
| Course exercise (interpretation of dataset) |
Special Arrangements
| None |
Additional Information
| Academic description |
Not entered |
| Syllabus |
Not entered |
| Transferable skills |
Not entered |
| Reading list |
Not entered |
| Study Abroad |
Not entered |
| Study Pattern |
Not entered |
| Keywords |
Not entered |
Contacts
| Course organiser |
Dr John Macinnes
Tel: (0131 6)50 3867
Email: john.macinnes@ed.ac.uk |
Course secretary |
Mrs Gillian Macdonald
Tel: (0131 6)51 3244
Email: gillian.macdonald@ed.ac.uk |
|
copyright 2011 The University of Edinburgh -
13 January 2011 6:32 am
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