Great Qualitative Books
Please add alphabetized entries and annotations to this bibliography.
  • Booth, W.C., Colomb, G.G., & Williams, J.M. (2003). The craft of research (2nd edition). Chicago: University of Chicago Press.
  • Creswell, J.W. (1998). Qualitative inquiry and research design: Choosing among five traditions. Thousand Oaks, CA: Sage.
  • Crotty, M. (2004). The foundations of social research: Meaning and perspective in the research process. Thousand Oaks, CA: Sage.
  • Fischer, C.T. (2006). Qualitative research methods for psychologists: Introduction through empirical studies. Boston: Elservier.
  • Flyvbjerg, B. (2001). Making social science matter: Why social inquiry fails and how it can succeed again. New York: Cambridge Univeristy Press.
  • Garman, N.B. & Piantanida, M. (2006). The authority to imagine: The struggle toward representation in dissertation writing. New York: Peter Lang
  • Lassiter, L.E. (2005). The Chicago guide to collaborative ethnography. Chicago, IL, USA: University of Chicago Press.
  • Lichtman, M. (2006). Qualitative research in education: A user's guide. Thousand Oaks, CA: Sage.
  • Nash, R.J. (2004). Liberating scholarly writing: The power of personal narrative. New York: Teachers College Press.
  • Patton, M.Q. (2002). Qualitative research and evaluation methods (3rd ed.). Thousand Oaks, CA: Sage.
  • Schensul, J. & LeCompte, M.D. (1999). The Ethnographer's Toolkit, Seven Oaks Innovation, CA: Altamira Press (Rowman and Littlefield).
    • Volume 1: Designing and Conducting Ethnographic Research, Volume 2: Essential Ethnographic Methods; Volume 3: Enhanced Ethnographic Methods; Volume 4: Researching Social Networks, Spatial Data and Hidden Populations; Volume 5: Analysis and Interpretation of Ethnographic Data; Volume 6: Researcher’s Role and Research Partnerships; Volume 7: Disseminating Ethnographic Data. Second Edition available spring 2009.

Grounded Theory

  • Bryant, A., & Charmaz, K. (2007) (eds.), The Sage handbook of grounded theory. Thousand Oaks, CA, USA: Sage.
  • Charmaz, K. (2006), Constructing grounded theory: A practical guide through qualitative analysis. London: Sage.
  • Clarke, A.E. (2005). Situational analysis: Grounded theory after the postmodern turn. Thousand Oaks, CA, USA: Sage.
  • Corbin, J., & Strauss, A.L. (2008). Basics of qualitative research 3e. Thousand Oaks, CA, USA: Sage.
    Morse, J.M., Stern, P.N., Corbin, J., Bowers, B., Charmaz, K., & Clarke, A.E. (2009). Developing grounded theory: The second generation. Walnut Creek, CA, USA: Left Coast Press.

CAQDAS Bibliography

  • Burgess, R. G. (1995). Computing and qualitative research. Greenwich: JAI Press.
  • Clamp, (2004). Resources for nursing Research: An annotated bibliography (4th ed.). Thousand Oaks, CA: Sage. The section 2.84 in this book (pp. 233-236) provides the bibliography on “Using Computers in Research” with annotations. And the “Appendix A: Computer Programs for Design and Analysis” (pp. 338-340) is the organized list of the concise information for each software including its purpose, publisher, and websites.
  • Coffey, A., & Atkinson, P. (1996). Making sense of qualitative data: Complementary research strategies. Thousand Oaks, California: Sage Publications.
  • di Gregorio, S. and Davidson, J. (2008) Qualitative Research Design for Software Users, Maidenhead: Open University Press (McGraw-Hil Education) This book is for those who want to go beyond a basic introduction to discover how to get the most out of the software and how to identify the methodological issues they need to consider. di Gregorio and Davidson introduce: the notion of the E-Project or the electronic project as a genre: a framework for representing the research design of a project in any QDAS (Qualitative Data Analysis Software) package; ethical considerations when working in QDAS; a variety of contextual issues including national and organizational differences; eight real research projects of a variety of designs and using different QDAS (ATLAS.ti, MAXqda, NVivo and XSight); separate checklists for ATLAS.ti, MAXqda, NVivo and XSight providing practical help in applying the research design framework presented in the book.
  • Fielding, N. G. and Lee, R. M. (1998). Computer analysis and qualitative research: New technology for social research. London: Sage. In their recent book, Fieding and Lee examine the history of the development of qualitative research and its support by computers in the light of the experience of those interviewed in their study of researchers using CAQDAS (Fielding & Lee, 1998). Amongst the issues they identify is a feeling of being distant from the data. Researchers using paper-based analysis felt they were closer to the words of their respondents or to their field notes than if they used computers. It was certainly true that some of the early software made it hard to track back from extracted text to the context in the original documents from which it came. But most programs now emphasize their facilities for the re-contextualization of data.
  • Fielding, N. G., & Lee, R. M. (Eds.). (1991). Using computers in qualitative research. Newbury Park: Sage. This work by mostly British scholars presents 11 essays (written by R. M. Lee & N. G. Fielding; R. Tesch; L. Richards & T. Richards; J. Davis; P. Allatt & L. D. Benson; A. V. Akeroyd, J. Seidel; M. D. Fischer & A. Frinkelstein; D. R. Heise; E. S. Cordingley; M. Agar) on qualitative computing, one of them an overview essay by the editors. An initial section surveys a dozen software packages such as Ethno, Ethnograph, and WordCruncher and discusses the application of Nudist and a package created at the University of Edinburgh for conceptual modeling. A middle section, “Implications for Research Practice,” contains essays on integrating computing in methods courses; ethical issues and data protection; and methodological pitfalls such as reification. A final section, “Qualitative Knowledge and Computing”; contains essays on ethnographic research, event structure analysis (by David Heise), and hypertext. A concluding essay by Michael Agar, “The Right Brain Strikes Back,” presents personal experiences and a critical view of computing in qualitative research.
  • Fisher, M. (1999). Using computers in qualitative analysis. In H. Millsom (Ed.), I.T. in the social sciences: A students guide to the Information and Communication Technologies (pp. 112-127). Oxford: Blackwell. It discusses the theoretical and practical applications of IT in qualitative analysis.
  • Fisher, M. (1997). Qualitative computing: Using software for qualitative data analysis. Aldershot: Ashgate. This book tries to answer the questions arise from using software for qualitative data analysis: Is it worth learning computer-assisted methods? Will the pay-off be sufficient to justify the investment? Which programs are worth learning? What are the effects on the analysis process? This book complements the existing literature by giving a detailed account of the use of four major programs in analyzing the same data. The author emphasizes qualitative analysis as a creative craft, but one which must increasingly be subject to rigorous methodological scrutiny. The adoption of computer-aided methods offers opportunities, but also dangers. Ultimately, this book is about the scientific quality of qualitative research.
  • Greenstein, D. (1994). A historian’s guide to computing. Oxford: Oxford University Press. This comprehensive guide is written for historians and other scholars with no prior expertise in the use of computers who need to know what kinds of problems computers can solve. Dr. Greenstein offers advice on how to exploit the computer and avoid potential pitfalls in day-to-day tasks, from bibliographic management to the use of electronic mail, and on-line library catalogues. The three central chapters on research methods examine databases and information management; numbers and measurement (including statistics, and graphical and tabular display); and document preparation and textual analysis. The final chapter offers an eight-point guide to project management which will help the user to harness the computer in a cost-effective, and productive manner for projects of any size and complexity. Throughout the book methodological and technical discussion is presented in straightforward and precise language, augmented by comprehensible diagrams, and with reference to real historical problems and data sets. The book is not tied to specific software or solutions, but offers numerous signposts for the reader in search of more detailed or more narrowly defined information.
  • Lewins, A. (2001). CAQDAS: Computer assisted qualitative data analysis. In N. Gilbert (Ed.) Researching social life (2nd ed.). Sage London.
  • Kelle, U. (Ed.). (1996). Computer-aided qualitative data analysis: Theory, methods and practice. London: SAGE Publications. The book is presenting intriguing variations on qualitative data analysis techniques that are made possible (or at least manageable) through recent developments in computer applications. Investigators using qualitative methods and pondering the use, implications, and potential of computers for analytic purposes should find this text to be a provocative addition to the literature. Can computers be used to improve reliability and validity? Can they ensure more systematic analysis? Computer-Aided Qualitative Data Analysis addresses these questions and other issues in using computers to support the qualitative research process. In this volume, international experts in the field provide an invaluable guide to this complex and changing area of research practice. They discuss the impact of computer-assisted analysis, outline strategies that capitalize on the computer's capacity to analyze large amounts of data in a short time, and offer new ways of integrating qualitative and quantitative analysis techniques. Throughout, full account is taken of the fundamental methodological and theoretical issues involved in using computers in qualitative research.
  • Kuckartz, U. (2001). An introduction to the computer analysis of qualitative data. London: Sage. Based on the assumption that qualitative data analysis today can be conducted highly efficiently with the aid of a number of software programs, this book looks at the methodological foundations, including qualitative and classical content analysis, the Grounded Theory, and the practical application of these new programs and computer-based techniques. Using examples from one such program, winMax, the author gives an overview of the latest analytical techniques and the basic methodological concepts associated with computer analysis of qualitative data.
  • Richards, L. (1995). Transition work! Reflections on a three-year NUD*IST project. In R. G. Burgess (Ed.), Computing and Qualitative Research (Vol. 5) (pp. 105-140). Greenwich: Jai Press, Inc.
  • Richards, T., & Richards, L. (1995). Using hierarchical categories in qualitative data analysis. In U. Kelle (Ed.), Computer-aided qualitative data analysis. London: Sage.
  • Richards, T., & Richards, L. (1994a). Using computers in qualitative analysis. In N. K. Denzin, & Y. S. Lincoln (Eds.), Handbook of Qualitative Research (pp.448). Thousand Oaks, California: Sage Publications.
  • Richards, L., & Richards, T. (1994b). From filing cabinet to computer. In A. Bryman, & R. G. Burgess (Eds.), Analyzing qualitative data (pp. 146-172). London: Routledge.
  • Reid, A. O. (1992). Computer management strategies for text data. In B. F. Crabtree, & W. L. Miller (Eds.), Doing Qualitative Research. Newbury Park, CA: Sage.
  • Seale, C. F. (1999). Using computers to analyse qualitative data. In D. Silverman (Ed.), Doing qualitative research: A practical handbook. London: Sage.
  • Tesch, R. (1990). Qualitaitve analysis: Analysis types and software tools. London: Falmer Press.
  • Van Hoven, B. (2002). Analysing qualitative data using CAQDAS. In N. Clifford, & G. Valentine (Eds.), Research methods in human and physical geography. London: Sage.
  • Weaver, A., & Atkinson, P. (1994). Microcomputing and qualitative data analysis. Aldershot: Avebury. Based on the recognition that qualitative research in the social sciences cannot be unitary, this work reviews a number of strategies for the analysis of qualitative data using computers and examines coding segments, lexical searching and coding and theory building. It sees microcomputing as offering a range of opportunities for the future of qualitative research.

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