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DRPS : Course Catalogue : School of Social and Political Science : Postgrad (School of Social and Political Studies)

Postgraduate Course: Analysing Qualitative Data (PGSP11110)

Course Outline
SchoolSchool of Social and Political Science CollegeCollege of Humanities and Social Science
Course typeStandard AvailabilityAvailable to all students
Credit level (Normal year taken)SCQF Level 11 (Postgraduate) Credits20
Home subject areaPostgrad (School of Social and Political Studies) Other subject areaNone
Course website None Taught in Gaelic?No
Course descriptionThis practical and hands-on course provides an introduction to the main issues involved in the management and analysis of qualitative data and the use of Computer Assisted Qualitative Data Analysis software (CAQDAS).

Please note this is a web-based course supported by lectures, workshops and lab-based classes. Students are expected to work through exercises and readings in their own time.

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 an introductory course in the management and analysis of qualitative data and the use of qualitative data analysis software.
Entry Requirements (not applicable to Visiting Students)
Pre-requisites Co-requisites
Prohibited Combinations Other requirements None
Additional Costs None
Information for Visiting Students
Displayed in Visiting Students Prospectus?Yes
Course Delivery Information
Delivery period: 2013/14 Semester 2, Available to all students (SV1) Learn enabled:  Yes Quota:  35
Web Timetable Web Timetable
Course Start Date 13/01/2014
Breakdown of Learning and Teaching activities (Further Info) Total Hours: 200 ( Seminar/Tutorial Hours 20, Programme Level Learning and Teaching Hours 4, Directed Learning and Independent Learning Hours 176 )
Additional Notes
Breakdown of Assessment Methods (Further Info) Written Exam 0 %, Coursework 100 %, Practical Exam 0 %
No Exam Information
Summary of Intended Learning Outcomes
1. To provide an overview of types of qualitative data and data sources.
2. To provide an introduction to some of the theoretical, methodological and software issues relating to good qualitative research practice.
3. To provide an introduction to the processes of qualitative data analysis.
4. To provide a practical guide to a CAQDAS package and its use.
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.
Special Arrangements
Additional Information
Academic description Not entered
Syllabus The course is divided into 3 blocks.

Block 1 covers:

1. An introduction to types of qualitative data, good research practice and the conventions of qualitative data management.
2. Preliminaries of data analysis: language, text and transcription.
3. Data characteristics, comparisons and beginning a thematic analysis

Block 2 covers:

1. Developing a thematic analysis
2. Using codes, categories and themes: retrieving, connecting and thinking about your data.
3. Lab-based training on NVivo

Block 3 covers:

1. Building your analysis.
2. Grounded theory.
3. Content analysis.
4. The impact of CAQDAS on the 'craft' of qualitative research
Transferable skills Not entered
Reading list Bazeley, P (2007) Qualitative Data Analysis with NVivo London <>, London Sage

Flick, Uwe (2009) An introduction to qualitative research London Sage pp 427 - 421

Gibbs, G. (2002) Qualitative Data Analysis: Exploration with NVivo <> Open University Press

Miles, M. B. & Huberman, A. M. (1994). Qualitative data analysis: An expanded sourcebook, <> 2nd Ed. Thousand Oaks, Sage

Richards, L (2005) Handling Qualitative Data: a practical guide <>, London, Sage

Richards, L (2007) READ ME FIRST for a User's Guide to Qualitative Methods <> London, Sage
Study Abroad Not entered
Study Pattern Not entered
KeywordsQualitative Data Analysis, CAQDAS software
Course organiserDr Kate Orton-Johnson
Tel: (0131 6)51 1230
Course secretaryMr Andrew Macaulay
Tel: (0131 6)51 5067
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