Postgraduate Course: Analysing Qualitative Data (PGSP11110)
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 |
20 |
| 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 will be a new core course in Qualitative Data Analysis techniques.
The course is designed to complement the existing core research skills courses, to provide a foundation for students wishing to pursue intermediate and advanced qualitative skills training and to provide students with a comparable introductory course in the management and analysis of qualitative data or the use of qualitative data analysis software.
With its conceptual and practical focus the course will provide a foundation for students wishing to use computer software in their postgraduate work and will provide a resource for researchers and staff across the school interested in the use of software for qualitative data analysis.
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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 2, Available to all students (SV1)
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WebCT enabled: Yes |
Quota: 39 |
| Location |
Activity |
Description |
Weeks |
Monday |
Tuesday |
Wednesday |
Thursday |
Friday |
| No Classes have been defined for this Course |
| First Class |
Week 1, Thursday, 09:00 - 10:50, Zone: Central. Room G.10 WRB |
| No Exam Information |
Summary of Intended Learning Outcomes
&· To provide an overview of types of qualitative data and data sources.
&· To provide an introduction to some of the theoretical, methodological and software issues relating to good qualitative research practice.
&· To provide an introduction to the processes of qualitative data analysis.
&· To provide a practical guide to CAQDAS packages and their use.
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Assessment Information
Self-tests and practical exercises which students will work through during the course will build towards the final assessment in the form of a written research report. Students will be required to complete an analysis of a nominated set of data and critically reflect on their data management and analysis and on their use of CAQDAS software.
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Special Arrangements
| None |
Additional Information
| Academic description |
Not entered |
| Syllabus |
Course content
The course is divided into 3 blocks. Block 1 covers:
&· An introduction to types of qualitative data, good research practice and the conventions of qualitative data management.
&· Preliminaries of data analysis $ú language, text and transcription.
&· Data characteristics, comparisons and beginning a thematic analysis.
Block 2 covers:
&· Developing a thematic analysis
&· Using codes, categories and themes - retrieving, connecting and thinking about your data.
&· Lab-based training on NVivo and HyperResearch.
Block 3 covers:
&· Building your analysis.
&· Grounded theory.
&· Content analysis.
&· The impact of CAQDAS on the $ùcraft&© of qualitative research.
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| Transferable skills |
Not entered |
| Reading list |
Indicative reading
Lewins A & Silver C (2004) Choosing a CAQDAS Package, CAQDAS Networking Project
Lewins A & Silver C (2006) Using Qualitative Software: A Step by Step Guide, London Sage Publications
Coffey, A. Holbrook, B.and Atkinson, P. (1996) Qualitative data analysis: technologies and representations, 'Sociological Research On-line' Vol. 1, No.1
Fielding, N. and Lee R, eds., (1991, 2/e 1993) Using computers in qualitative research, Sage
Richards L (2005) Handling Qualitative Data, A Practical Guide, London Sage Publications
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| Study Abroad |
Not entered |
| Study Pattern |
Not entered |
| Keywords |
Qualitative Data Analysis, CAQDAS software |
Contacts
| Course organiser |
Prof Lynn Jamieson
Tel: (0131 6)50 4002
Email: L.Jamieson@ed.ac.uk |
Course secretary |
Mrs Gillian Macdonald
Tel: (0131 6)51 3244
Email: gillian.macdonald@ed.ac.uk |
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copyright 2011 The University of Edinburgh -
31 January 2011 8:10 am
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