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Qualitative Analysis Software (Workshop)

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Course Type Course Code No. Of Credits
Discipline Core SPG2PH506 1

Semester and Year Offered: 4th Semester, 2nd year

Course Coordinator and Team: N.Nakkeeran

Email of course coordinator: nakkeeran@aud.ac.in

Pre-requisites: None

Aim:

  • To introduce students to diverse modes of qualitative data analysis and appreciating their respective links with specific epistemological perspectives.
  • To equip students with basic skills of analysis of qualitative data in manual mode
  • To equip students with skills to effectively use a software to analyse qualitative data

Course Outcomes: On successful completion of the course the student will be able to:

  • Knowledge on principles underlying qualitative data analysis
  • Skill to use any one qualitative data analysis software
  • Be aware of challenges and limitations in use of a software for analysis of qualitative data

Brief description of modules/ Main modules:

The course will be transacted as per the following schedule:

Module

Module / Content

 

Day - 1

1

M1: Principles, fundamental procedures involved in qualitative data analysis; modes of qualitative analysis; challenges and limitations of use of software for analysis of qualitative data

2

M2: Analysis of qualitative data manually; analysis without dedicated software

M2: Practice session on manual analysis, using MS-Word and MS-Excel

M2: Introduction to free softwares (Taquette QDAMiner Lite, Weft QDA);

Basic elements of software for QDA Menu, view options, primary documents, assigning documents, coding and extracting quotations – Demonstration

 

Day -2

 

M2: Practice session using any one of the free softwares

3

M3: Introduction to commercial softwares (Atlas-Ti; Nvivo; MaxQDA)

M3: Menu, view options, primary documents, assigning documents, managing document, type of “objects”; object managers; types of outputs

M3: Practice session using Atlas-ti

 

Day 3

4

M4: Coding - Creating quotations, hyper-links, codes; different ways of making codes; codes manager, code-families

M4: Practice session using Atlas-ti

5

M5: Comments, memos, Families, filters, co-occurrence explorer, object crawler, word cruncher, coding analyser, Query tool

M5: Practice session using Atlas-ti

 

Day 4

5

M6: Outputs, Data protection, rights, storing and migrating

Network diagram, relations editor, report generation, exporting; merging projects, bundling, unbundling, user rights, data protection.

M6: Practice session using Atlas-ti

7

M7: Themes identification, conceptual map / framework development, concept / theory development

Assessment Details with weights:

  • Class based exercise  -I – 50%
  • Class based exercise – II – 50%

Reading List:

  • Attride-Stirling, J. (2001). Thematic networks: an analytic tool for qualitative research. Qualitative Research, 1(3), 385–405. https://doi.org/10.1177/146879410100100307
  • Hammersley, M and Atkinson, P., Ethnography Principles in practice (3edn.), London: Routledge 2007
  • Howitt, D., “Part 3: Qualitative Data Analysis”, in Introduction to Qualitative Methods in Psychology, Pearson, 2013.
  • Lacey A. and Luff D. Qualitative Research Analysis. The NIHR RDS for the East Midlands / Yorkshire & the Humber, 2007.
  • Perakyla, A., ‘Analyzing Talk and Text’ in Denzin and Lincoln (Eds.) Collecting and Interpreting Qualitative Material, Sage, Los Angels, 2008:251-374
  • Richie, J and Spencer, L (1994), ‘Qualitative data analysis for applied policy research’, in Bryman and Burgess, eds., Analysing Qualitative Data, London: Routledge, p173-194
  • Ryan, GW and Bernard HR., “Techniques to Identify Themes”, Field Methods, Vol. 15, No. 1, February 2003 85–109
  • Saldana J., (2016) “An Introduction to Codes and Coding”, in The Coding Manual for Qualitative Researchers, London, Sage, https://www.sfu.ca/~palys/Saldana-CodingManualForQualResearch-IntroToCodes&Coding.pdf
  • Seidel, John V. “Qualitative data analysis”, 1998, www.qualisresearch.com
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