00 Qdas Development And Trends In Qualitatve Analysis

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Paper presented at CAQRE conference Lisbon October 2010

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00 Qdas Development And Trends In Qualitatve Analysis

  1. 1. QDAS* development and trends in qualitative research<br />Dr. Silvana di Gregorio<br />SdG Associates: London & Boston<br />www.sdgassociates.com<br />*Qualitative Data Analysis Software<br />
  2. 2. PREZI presentation<br />A PREZI version of this same presentation is available at:<br />http://prezi.com/82arnt4a5pyb/qdas-development-and-future-trends/<br />
  3. 3. Judy Davidson, Ph.D.<br />University of Mass-Lowell<br />Silvana diGregorio, Ph.D.<br />SDG Associates<br />A Collaboration of Many Years<br />
  4. 4. Presentation based upon our chapter: <br />Davidson, J. & di Gregorio, S. (forthcoming) Qualitative research and technology: In the midst of a revolution. In N. Denzin and Y. Lincoln’s Handbook of Qualitative Inquiry (4th ed.). Thousand Oaks, CA: Sage. <br />
  5. 5. .There are multiple brands and features, but all possess similar core capacities.<br />QDAS offers one-stop-shopping for the discerning qualitative researcher. <br />Over time…the tools have become increasingly comprehensive<br />and interfaces have become increasingly complex<br />
  6. 6. Limitations and Challenges<br />Many senior researchers do not use these tools. <br />The use of these tools is confined primarily to qualitative researchers both in- and outside-of academia.<br />Few institutions provide sufficient infrastructure support for broad and deep QDAS use. <br />QDAS development has not been considered part of the mainstream history of qualitative research methodology. <br />
  7. 7. QDAS to QDAS 2.0<br />We believed that to understand QDAS 2.0, it was necessary to chart QDAS development within the context of the evolution of qualitative research methodology. We turned to Denzin and Lincoln’s Eight Moments in qualitative research for this framework. We compared this framework with our Stages of QDAS development to produce an historical understanding of the development of QDAS that would inform our views of QDAS 2.0. <br />
  8. 8. Eight Moments in Qualitative Research<br />
  9. 9. Qualitative Research and its Technologies …in Evolution<br />
  10. 10. Traditional/Modernist: early 1900’s to 1970<br />Notebooks, Typewriters, Carbon Paper, and McBee Keysort Cards! <br />Classical era of anthropology and sociology (Malinowski, Mead…<br />Golden age of rigor in qualitative analysis (Becker, Glaser…)<br />Pre-QDAS<br />
  11. 11. Blurred Genres: 1970-1986(Think: Geertz, Erickson, Guba, Lincoln, Stake, Eisner)<br />QDAS exploded onto the qualitative research scene in the early 1980’s.<br />1981-NUD*IST released<br />1984-Ethnograph<br />…and the rest is history<br />Audio cassettes had also recently come into being. <br />QDAS developers are social scientists and are working in relative isolation.<br />
  12. 12. The Typology Era<br />Crisis of Representation<br />Mid 1980’s to Early 1990’s<br />Matching a specific project to a specific software package<br />1989! First International Conference on Qualitative Computing: University of Surrey, UK<br />
  13. 13. RenataTesch (1990):<br />Strauss and Corbin (1990): <br />Qualitative research: Analysis types and software tools.<br />Identifies 46 types of qualitative research and 10 common principles among them<br />Most QDAS packages support these forms of research.<br />Basics of qualitative research: Grounded theory procedures and techniques.<br />Strauss and Corbin’s grounded theory approach became negatively associated with the notion of QDAS<br />Intersections: QR and QDAS<br />
  14. 14. Fielding and Lee (2007)<br />“There was also an assumption that we were seeking to establish some kind of orthodoxy around the analytic process, particularly in relation to grounded theory. This is an assumption we have always strongly resisted. For us, identification of the coding features found in many qualitative data analysis programs with grounded theory has tended to elide program features, analytic procedures and methodological approaches.” <br />…looking back on the challenge to QDAS that emerged in relationship to Strauss and Corbin’s work .<br />
  15. 15. In Qualitative Research…<br />In QDAS…<br />Competition among QDAS developers to provide packages with core features consumers desire and new whistles and bells.<br />Experimentation with Generic Tools as QDAS <br />Writing experiments abound:<br />Autoethnography<br />Multi-media<br />Performance Ethnography<br />Post-modernism and post-experimental: Early 1990’s to 2000<br />
  16. 16. Comprehensive Texts<br />Projects and Conferences<br />1994: CAQDAS Networking Project funded by ESRC at Univ of Surrey, UK<br />1995: Sage QDAS venture<br />Fielding and Lee (1991)<br />Miles and Weitzman (1994)<br />Kelle (1995)<br />QDAS Texts/Projects/Conferences Emerge<br />
  17. 17. Methodologically Contested Present: 2000-2008<br />Meta-perspectives on QDAS<br />What are the principles that should guide good/trustworthy QDAS-based QR work?<br />How are these principles applicable across QDAS packages?<br />Divergences and Convergences<br />
  18. 18. Lewins and Silver(2007)<br />di Gregorio & Davidson (2008)<br />Meta-perspectives on QDAS emerge<br />
  19. 19. Timeline<br />
  20. 20. Why is this history important?<br />Shows parallel but disconnected developments with qualitative research community and QDAS community<br />Can explain slowness of QDAS being accepted in qualitative research community<br />Looking at the past helps us understand how we got to the present<br />For the future, QDAS people need to work with the wider qualitative research community<br />
  21. 21. Skeuomorph<br />“A skeuomorph is a design feature that is no longer functional in itself, but that refers back to a feature that was functional at an earlier time…Skeuomorphs visibly testify to the social or psychological necessity for innovation to be tempered by replication…” (Hayles, 1999, 17)<br />
  22. 22. Skeuomorphs<br />
  23. 23. Backcasting<br /><ul><li> Starting with our vision
  24. 24. What would be our ideal approach?
  25. 25. What would be our ideal tools?
  26. 26. How can we get there?</li>

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