Qualitative research design is continually evolving. It is not only more established in disciplines beyond the traditional social sciences in which it is a standard choice, but also just as impacted by the changes in what data, technologies, and approaches researchers are using. This Handbook takes readers through the foundational theories, functions, strategies, and approaches to qualitative research design, before showcasing how it negotiates different data and research environments and produces credible, actionable impact beyond the study. Containing contributions from over 90 top scholars from a range of social science disciplines, this Handbook is not just an anthology of different qualitative research designs and how/when to use them; it is a complete exploration of how and why these designs are shaped and how, why, and into what they are evolving. This is a valuable resource for Master's and PhD level students, faculty members, and researchers across a wide range of disciplines such as health, nursing, psychology, social work, sociology, and education. Volume One: Part I: Concepts of Designing Designs in Qualitative Research; Part 2: Theories and Epistemological Contexts of Designing Qualitative Research; Part 3: Elements of Designing Qualitative Research; Part 4: Basic Designs and Research Strategies in Qualitative Research; and Part 5: Mixing Methods in Designing Qualitative Research. Volume Two: Part 6: Designing Qualitative Research for Specific Kinds of Data; Part 7: Designing Qualitative Online and Multimodal Research; Part 8: Designing Qualitative Research for Specific Groups and Areas; Part 9: Designing Qualitative Research in Disciplinary Fields; and Part 10: Designing Qualitative Research for Impact.
Chapter 19: Role and Impact of CAQDAS Software for Designs in Qualitative Research
Role and Impact of CAQDAS Software for Designs in Qualitative Research
Computer-assisted qualitative data analysis software (CAQDAS) – a term propagated by Fielding and Lee (1998) – like ATLAS.ti, Dedoose, F4 Analyse, HyperResearch, MAXQDA, NVivo, Transana, QDA Miner or Quirkos, allows us to analyze qualitative data in a systematic and transparent way without precluding openness and to query data in ways that are not imaginable with traditional methods. As a researcher, you can begin reading your data in the software, take notes, write memos, mark interesting data segments and, when you are ready, apply codes. Code systems can be developed inductively, deductively or using a combination of both. Based ...