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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
Credit level (Normal year taken)SCQF Level 11 (Postgraduate) AvailabilityAvailable to all students
SCQF Credits20 ECTS Credits10
SummaryThis 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.
Course description 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
Entry Requirements (not applicable to Visiting Students)
Pre-requisites Co-requisites
Prohibited Combinations Other requirements None
Information for Visiting Students
High Demand Course? Yes
Course Delivery Information
Academic year 2015/16, Available to all students (SV1) Quota:  40
Course Start Semester 2
Timetable Timetable
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 )
Assessment (Further Info) Written Exam 0 %, Coursework 100 %, Practical Exam 0 %
Additional Information (Assessment) 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.
Feedback Not entered
No Exam Information
Learning Outcomes
On completion of this course, the student will be able to:
  1. Have an understanding of types of primary and secondary qualitative data
  2. Have been introduced to some of the theoretical, methodological and software issues relating to good qualitative research practice
  3. Understand the processes of qualitative data analysis including how to manage, code and retrieve qualitative data
  4. Have been introduced to CAQDAS packages and their use
  5. Practice using the CAQDAS package NVivo 10 on their own data
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
Additional Information
Graduate Attributes and Skills 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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