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How can ethnographic studies be generalized, in contrast to concentrating on the individual case? Noblit and Hare propose a new method for synthesizing from qualitative studies: meta-ethnography. After citing the criteria to be used in comparing qualitative research projects, the authors define the ways these can then be aggregated to create more cogent syntheses of research. Using examples from numerous studies ranging from ethnographic work in educational settings to the Mead-Freeman controversy over Samoan youth, Meta-Ethnography offers useful procedural advice from both comparative and cumulative analyses of qualitative data. This provocative volume will be read with interest by researchers and students in qualitative research methods, ethnography, education, sociology, and anthropology. "After defining metaphor and synthesis, these authors provide a step-by-step program that will allow the researcher to show similarity (reciprocal translation), difference (refutation), or similarity at a higher level (lines or argument synthesis) among sample studies....Contain(s) valuable strategies at a seldom-used level of analysis." --Contemporary Sociology "The authors made an important contribution by reframing how we think of ethnography comparison in a way that is compatible with the new developments in interpretive ethnography. Meta-Ethnography is well worth consulting for the problem definition it offers." --The Journal of Nervous and Mental Disease "This book had to be written and I am pleased it was. Someone needed to break the ice and offer a strategy for summarizing multiple ethnographic studies. Noblit and Hare have done a commendable job of giving the research community one approach for doing so. Further, no one else can now venture into this area of synthesizing qualitative studies without making references to and positioning themselves vis-a-vis this volume." -Educational Studies
Data collection in the field, whether by interviewing or other methods, can be carried out in a structured, systematic and scientific way. This volume compels field researchers to take very seriously not only what they hear, but what they ask. Ethnographers have often discovered too late that the value of their interview information is discounted as a consequence of poor sampling (of both questions and informants) and poor elicitation techniques. The authors focus on the importance of establishing the right questions to ask through the use of free listing techniques; then they describe in practical terms the administration of an impressive array of alternative kinds of informant task. They conclude with a discussion of reliability and validity of various methods which can be used to generate more systematic, culturally meaningful data.
Qualitative synthesis within the family of systematic reviews meets an urgent need to use knowledge derived from qualitative studies to inform practice, research, and policy. Despite the contingent nature of evidence gleaned from synthesis of qualitative studies, systematic synthesis is an important technique and, used judiciously, can deepen understanding of the contextual dimensions that emerge from qualitative research. This pocket guide presents an overview for planning, developing, and implementing qualitative synthesis within existing protocols and guidelines for conducting systematic reviews. The authors also explore methodological challenges, including: the philosophical tensions of integrating qualitative synthesis within the family of systematic reviews; the balance of comprehensive and iterative information retrieval strategies to locate and screen qualitative research; the use of appraisal tools to assess quality of qualitative studies; the various approaches to synthesize qualitative studies, including interpretive, integrated, and aggregative; and the tensions between the generalizability and transferability of findings that emerge from qualitative synthesis. Social work researchers, educators, and doctoral students who are interested in systematic reviews will find the step-by-step format of this book invaluable for conducting their reviews, both in the form of rapid evidence assessments and in high-quality critical reviews.
This book highlights the rise of the Strauss-Corbin-Gioia (SCG) methodology as an important paradigm in qualitative research in the social sciences, and demonstrates how the SCG methodology can be operationalized and enhanced using RQDA. It also provides a technical and methodological review of RQDA as a new CAQDAS tool. Covering various techniques, it offers methodological guidance on how to connect CAQDAS tool with accepted paradigms, particularly the SCG methodology, to produce high- quality qualitative research and includes step-by-step instructions on using RQDA under the SCG qualitative research paradigm. Lastly, it comprehensively discusses methodological issues in qualitative research. This book is useful for qualitative scholars, PhD/postdoctoral students and students taking qualitative methodology courses in the broader social sciences, and those who are familiar with programming languages and wish to cross over to qualitative data analysis. "At long last! We now have a qualitative data-analysis approach that enhances the use of a systematic methodology for conducting qualitative research. Chandra and Shang should be applauded for making our research lives a lot easier. And to top it all off, it’s free." Dennis Gioia, Robert & Judith Auritt Klein Professor of Management, Smeal College of Business at Penn State University, USA “While we have a growing library of books on qualitative data analysis, this new volume provides a much needed new perspective. By combining a sophisticated understanding of qualitative research with an impressive command of R, the authors provide an important new toolkit for qualitative researchers that will improve the depth and rigor of their data analysis. And given that R is open source and freely available, their approach solves the all too common problem of access that arises from the prohibitive cost of more traditional qualitative data analysis software. Students and seasoned researchers alike should take note!” Nelson Phillips, Abu Dhabi Chamber Chair in Strategy and Innovation, Imperial College Business School, United Kingdom "This helpful book does what it sets out to do: offers a guide for systematizing and building a trail of evidence by integrating RQDA with the Gioia approach to analyzing inductive data. The authors provide easy-to-follow yet detailed instructions underpinned by sound logic, explanations and examples. The book makes me want to go back to my old data and start over!" Nicole Coviello, Lazaridis Research Professor, Wilfrid Laurier University, Canada "Qualitative Research Using R: A Systematic Approach guides aspiring researchers through the process of conducting a qualitative study with the assistance of the R programming language. It is the only textbook that offers “click‐by-click” instruction in how to use RQDA software to carry out analysis. This book will undoubtedly serve as a useful resource for those interested in learning more about R as applied to qualitative or mixed methods data analysis. Helpful as well is the six‐step procedure for carrying out a grounded‐theory type study (the “Gioia approach”) with the support of RQDA software, making it a comprehensive resource for those interested in innovative qualitative methods and uses of CAQDAS tools." Trena M. Paulus, Professor of Education, University of Georgia, USA
How can you analyse narratives, interviews, field notes, or focus group data? Qualitative text analysis is ideal for these types of data and this textbook provides a hands-on introduction to the method and its theoretical underpinnings. It offers step-by-step instructions for implementing the three principal types of qualitative text analysis: thematic, evaluative, and type-building. Special attention is paid to how to present your results and use qualitative data analysis software packages, which are highly recommended for use in combination with qualitative text analysis since they allow for fast, reliable, and more accurate analysis. The book shows in detail how to use software, from transcribing the verbal data to presenting and visualizing the results. The book is intended for Master’s and Doctoral students across the social sciences and for all researchers concerned with the systematic analysis of texts of any kind.
This title provides step-by-step directions for how to conduct a meta-study, as well as recommendations for tools and standards for the application of this approach.
In eight clear-cut steps, this book provides a systematic introduction to qualitative content analysis and how you can use it in each stage of your research project, no matter the type or amount of data. Developed by a leading expert in the field and based on years of teaching experience, this book offers an essential framework for interpreting qualitative data for any social sciences student or researcher. To support you in choosing the best approach for your research, this book includes: · Examples of how QCA can be applied to various research processes · An introduction to text analysis and its different approaches · Discussions of how to use QCA software to benefit your research · An online how-to manual to help you get the most out of QCAmap software. It also introduces the process of scientific research, and integrates qualitative and quantitative analysis into the step-by-step approach.