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Melissa Freeman describes five modes of thinking or analytic strategies for qualitative research to demonstrate how each puts into action a distinct theoretical orientation and goal for research.
Modes of Thinking for Qualitative Data Analysis argues for engagement with the conceptual underpinnings of five prominent analytical strategies used by qualitative researchers: Categorical Thinking, Narrative Thinking, Dialectical Thinking, Poetical Thinking, and Diagrammatical Thinking. By presenting such disparate modes of research in the space of a single text, Freeman not only draws attention to the distinct methodological and theoretical contributions of each, she also establishes a platform for choosing among particular research strategies by virtue of their strengths and limitations. Experienced qualitative researchers, novices, and graduate students from many disciplines will gain new insight from the theory-practice relationship of analysis advanced in this text.
This unique text provides a broad introduction to qualitative analysis together with concrete demonstrations and comparisons of five major approaches. Leading scholars apply their respective analytic lenses to a narrative account and interview featuring "Teresa," a young opera singer who experienced a career-changing illness. The resulting analyses vividly exemplify what each approach looks like in action. The researchers then probe the similarities and differences among their approaches; their distinctive purposes and strengths; the role, style, and subjectivity of the individual researcher; and the scientific and ethical complexities of conducting qualitative research. Also included are the research participant's responses to each analysis of her experience. A narrative account from another research participant, "Gail," can be used by readers to practice the kinds of analysis explored in the book.
Qualitative Data Analysis shows that learning how to analyse qualitative data by computer can be fun. Written in a stimulating style, with examples drawn mainly from every day life and contemporary humour, it should appeal to a wide audience.
Whilst exploring the ethics of ethnography, this book illustrates the relevance of performance ethnography across disciplinary boundaries, exploring links between theory & method, various theoretical concepts & a number of methodological techniques.
This text provides a solid intellectual grounding in the area of qualitative research. It examines theoretical underpinnings, methodological perspectives and empirical approaches.
"The authors take a ′user friendly′ systematic approach to qualitative research, something that has long been missing in the field. I consider this to be a groundbreaking work, one that will hit home with students and faculty alike." —Justin M. Laird, SUNY Brockport "This book does an excellent job of integrating design, methods, and analysis. . . . The real beauty of the book is that it overturns many of the age-old assumptions about how ′good′ research should be done. . . . The authors′ pleasant and refreshing style, coupled with subtle irreverence for outmoded or constraining paradigms of inquiry, makes for highly enjoyable reading." —Roger Rennekamp, University of Kentucky Interactive Qualitative Analysis: A Systems Method for Qualitative Research aims to help students unscramble the mysteries of qualitative data collection, coding, and analysis by showing how to use a systematic, qualitative technique: interactive qualitative analysis. The authors synthesize ideas from grounded theory, path and factor analysis, quality management theory, Foucauldian concepts of power and knowledge, and systems theory. A dialectical revision of Guba and Lincoln′s theory of rigor is offered which, combined with systems theory, offers new insights into the meaning of reliability and validity in qualitative research. Unlike many theoretical works, Interactive Qualitative Analysis develops the theory into a complete and transparent set of protocols for research design, observation, analysis, and interpretation. The construction, interpretation, and comparison of recursive systems of meaning, or mindmaps, is articulated in detail. The book is organized so that those not interested in theory can skip to the applied chapters. Case studies illustrate each stage of the research process with an emphasis on interpretation. The combination of theory and practice perfectly suits the book for advanced qualitative research courses across the social sciences, especially those that address epistemology. Professional researchers and evaluators will also find this an invaluable guide to qualitative analysis. Key Features * Advice boxes alert readers to potential pitfalls in qualitative research, and offer the appropriate steps to take in order to avoid such issues * Sidebars provide clear and concise snapshots of the theoretical basis for research decisions * Interactive CD contains sample data and exercises to provide students with effective practice as well as reinforce and clarify principles explained in the book * Provides a "road map" to using interactive qualitative inquiry in dissertation writing
Research Methods in Education introduces research methods as an integrated set of techniques for investigating questions about the educational world. This lively, innovative text helps students connect technique and substance, appreciate the value of both qualitative and quantitative methodologies, and make ethical research decisions. It weaves actual research "stories" into the presentation of research topics, and it emphasizes validity, authenticity, and practical significance as overarching research goals. The text is divided into three sections: Foundations of Research (5 chapters), Research Design and Data Collection (7 chapters), and Analyzing and Reporting Data (3 chapters). This tripartite conceptual framework honors traditional quantitative approaches while reflecting the growing popularity of qualitative studies, mixed method designs, and school-based techniques. This approach provides a comprehensive, conceptually unified, and well-written introduction to the exciting but complex field of educational research.
This lively, practical text presents a fresh and comprehensive approach to doing qualitative research. The book offers a unique balance of theory and clear-cut choices for customizing every phase of a qualitative study. A scholarly mix of classic and contemporary studies from multiple disciplines provides compelling, field-based examples of the full range of qualitative approaches. Readers learn about adaptive ways of designing studies, collecting data, analyzing data, and reporting findings. Key aspects of the researcher's craft are addressed, such as fieldwork options, the five phases of data analysis (with and without using computer-based software), and how to incorporate the researcher's “declarative” and “reflective” selves into a final report. Ideal for graduate-level courses, the text includes:* Discussions of ethnography, grounded theory, phenomenology, feminist research, and other approaches.* Instructions for creating a study bank to get a new study started.* End-of-chapter exercises and a semester-long, field-based project.* Quick study boxes, research vignettes, sample studies, and a glossary.* Previews for sections within chapters, and chapter recaps.* Discussion of the place of qualitative research among other social science methods, including mixed methods research.
"What are the most effective methods to code and analyze data for a particular study? This thoughtful and engaging book reviews the selection criteria for coding and analyzing any set of data--whether qualitative, quantitative, mixed, or visual. The authors systematically explain when to use verbal, numerical, graphic, or combined codes, and when to use qualitative, quantitative, graphic, or mixed-methods modes of analysis. Chapters on each topic are organized so that researchers can read them sequentially or can easily "flip and find" answers to specific questions. Nontechnical discussions of cutting-edge approaches--illustrated with real-world examples--emphasize how to choose (rather than how to implement) the various analyses. The book shows how using the right analysis methods leads to more justifiable conclusions and more persuasive presentations of research results. Useful features for teaching or self-study: *Chapter-opening preview boxes that highlight useful topics addressed. *End-of-chapter summary tables recapping the 'dos and don'ts' and advantages and disadvantages of each analytic technique. *Annotated suggestions for further reading and technical resources on each topic. Subject Areas/Keywords: analyses, coding, combined methods, data analysis, data collection, dissertation, graphical, interpretation, mixed methods, qualitative, quantitative, research analysis, research designs, research methods, social sciences, thesis, visual Audience: Researchers, instructors, and graduate students in a range of disciplines, including psychology, education, social work, sociology, health, and management; administrators and managers who need to make data-driven decisions"--
