This is the only up-to-date source I could find as a book and not as an MA or PhD thesis. You might find such papers only on the websites of some universities (English department). So it is worth visiting them. Maybe in countries where English is taught or learned as a second language:
Amazon.com: Qualitative Data Analysis: An Introduction: Books: Carol Grbich
Qualitative Data Analysis: An Introduction provides a thorough but very accessible reference guide to epistemological changes and their impact on the field of qualitative research, together with a practical guide to the wide range of approaches social science researchers and postgraduate students are currently using to design and analyze this form of data. This is a book that will rapidly be recognized as essential for social researchers attempting qualitative approaches. It provides a first-class, reliable guide to the basic issues in data analysis with detailed examples, a glossary and further reading lists and summaries of key points provided throughout the text.
Specific analytical approaches include: Classical Ethnography; the newer ethnographic styles such as auto ethnography, cyber ethnography and ethno drama ; Grounded Theory (both Glasserian and Straussian versions); the various types of Phenomenology classical, existential and hermeneutic; Feminist research including Memory Work; Content Analysis; Narrative Analysis; Conversation analysis - both linguistic and socio cultural; Discourse analysis; Visual Interpretation; Semiotic structural and post structural analyses and a guide to qualitative computing programs.
A section on writing up data covers how to theorize from Data, how to incorporate data from multiple sources (both qualitative and quantitative), and an exploration of the techniques of innovative data display.
Qualitative Data Analysis: An Introduction provides an authoritative guide to current issues in the analysis of qualitative data for scholars, teachers and students alike.
* Paperback: 264 pages
* Publisher: Sage Publications Ltd; New Ed edition (January 19, 2007)
* Language: English
* ISBN-10: 1412921430
* ISBN-13: 978-1412921435
Student or Learner