Modes of Thinking for Qualitative Data Analysis

Modes of Thinking for Qualitative Data Analysis

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  • Author: Melissa Freeman
  • Publisher: Taylor & Francis
  • ISBN: 1315516845
  • Category : Education
  • Languages : en
  • Pages : 136

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.


Qualitative Data Analysis

Qualitative Data Analysis

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  • Author: Ian Dey
  • Publisher: Routledge
  • ISBN: 1134931468
  • Category : Psychology
  • Languages : en
  • Pages : 309

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.


Five Ways of Doing Qualitative Analysis

Five Ways of Doing Qualitative Analysis

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  • Author: Kathy Charmaz
  • Publisher: Guilford Press
  • ISBN: 1609181425
  • Category : Social Science
  • Languages : en
  • Pages : 450

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.


Analyzing Qualitative Data

Analyzing Qualitative Data

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  • Author: H. Russell Bernard
  • Publisher: SAGE Publications
  • ISBN: 1483347117
  • Category : Social Science
  • Languages : en
  • Pages : 577

The fully updated Second Edition of Analyzing Qualitative Data: Systematic Approaches by H. Russell Bernard, Amber Wutich, and Gery W. Ryan presents systematic methods for analyzing qualitative data with clear and easy-to-understand steps. The first half is an overview of the basics, from choosing a topic to collecting data, and coding to finding themes, while the second half covers different methods of analysis, including grounded theory, content analysis, analytic induction, semantic network analysis, ethnographic decision modeling, and more. Real examples drawn from social science and health literature along with carefully crafted, hands-on exercises at the end of each chapter allow readers to master key techniques and apply them to their own disciplines.


Computer-Aided Qualitative Data Analysis

Computer-Aided Qualitative Data Analysis

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  • Author: Udo Kelle
  • Publisher: SAGE
  • ISBN: 9781446224908
  • Category : Mathematics
  • Languages : en
  • Pages : 246

Computer-Aided Qualitative Data Analysis offers an invaluable guide to the rapidly developing arena of research practice. It will be essential reading for researchers and graduate students across the social sciences who are engaged in qualitative research.


Qualitative Research & Evaluation Methods

Qualitative Research & Evaluation Methods

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  • Author: Michael Quinn Patton
  • Publisher: SAGE Publications
  • ISBN: 1483376052
  • Category : Social Science
  • Languages : en
  • Pages : 1362

Drawing on more than 40 years of experience conducting applied social science research and program evaluation, author Michael Quinn Patton has crafted the most comprehensive and systematic book on qualitative research and evaluation methods, inquiry frameworks, and analysis options available today. Now offering more balance between applied research and evaluation, this Fourth Edition illuminates all aspects of qualitative inquiry through new examples, stories, and cartoons; more than a hundred new summarizing and synthesizing exhibits; and a wide range of new highlight sections/sidebars that elaborate on important and emergent issues. For the first time, full case studies are included to illustrate extended research and evaluation examples. In addition, each chapter features an extended "rumination," written in a voice and style more emphatic and engaging than traditional textbook style, about a core issue of persistent debate and controversy.


Selecting the Right Analyses for Your Data

Selecting the Right Analyses for Your Data

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  • Author: W. Paul Vogt
  • Publisher: Guilford Publications
  • ISBN: 1462515762
  • Category : Social Science
  • Languages : en
  • Pages : 521

"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"--


Applied Qualitative Research Design

Applied Qualitative Research Design

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  • Author: Margaret R. Roller
  • Publisher: Guilford Publications
  • ISBN: 1462519105
  • Category : Psychology
  • Languages : en
  • Pages : 417

This unique text provides a comprehensive framework for creating, managing, and interpreting qualitative research studies that yield valid and useful information. Examples of studies from a wide range of disciplines illustrate the strengths, limitations, and applications of the primary qualitative methods: in-depth interviews, focus group discussions, ethnography, content analysis, and case study and narrative research. Following a consistent format, chapters show students and researchers how to implement each method within a paradigm-neutral and flexible Total Quality Framework (TQF) comprising four interrelated components: Credibility, Analyzability, Transparency, and Usefulness. Unlike other texts that relegate quality issues to one or two chapters, detailed discussions of such crucial topics as construct validity, interresearcher reliability, researcher bias, and verification strategies are featured throughout. The book also addresses applications of the TQF to the writing, review, and evaluation of qualitative research proposals and manuscripts. Pedagogical Features *Summary tables that highlight important content, such as the application of a method to vulnerable or hard-to-reach populations. *Case studies that illustrate TQF standards in practice for each method. *Guidelines for effective documentation (via thick descriptions) of each type of study. *End-of-chapter discussion topics, exercises, and suggested further reading and Web resources. *Chapters open with a preview and close with a bulleted summary of key ideas. *Extensive glossary. 2021 Winner--American Association for Public Opinion Research (AAPOR) Book Award


The Coding Manual for Qualitative Researchers

The Coding Manual for Qualitative Researchers

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  • Author: Johnny Saldana
  • Publisher: SAGE
  • ISBN: 1529755980
  • Category : Social Science
  • Languages : en
  • Pages : 394

This invaluable manual from world-renowned expert Johnny Saldaña illuminates the process of qualitative coding and provides clear, insightful guidance for qualitative researchers at all levels. The fourth edition includes a range of updates that build upon the huge success of the previous editions: A structural reformat has increased accessibility; the 3 sections from the previous edition are now spread over 15 chapters for easier sectional reference There are two new first cycle coding methods join the 33 others in the collection: Metaphor Coding and Themeing the Data: Categorically Includes a brand new companion website with links to SAGE journal articles, sample transcripts, links to CAQDAS sites, student exercises, links to video and digital content Analytic software screenshots and academic references have been updated, alongside several new figures added throughout the manual It remains the only book that looks specifically at coding qualitative data, as a core but often neglected skill that researchers and students alike need to effectively make sense of their data and to identify patterns, before they can analyse the material. Saldana presents a range of coding options with advantages and disadvantages to help researchers to choose the most appropriate approach for their project, reinforcing their perspective with real world examples, used to show step-by-step processes and to demonstrate important skills.


Thinking with Theory in Qualitative Research

Thinking with Theory in Qualitative Research

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  • Author: Alecia Youngblood Jackson
  • Publisher: Routledge
  • ISBN: 1136511997
  • Category : Education
  • Languages : en
  • Pages : 168

Winner of the 2013 American Educational Studies Association's Critics Choice Award! Thinking With Theory In Qualitative Research shows how to use various philosophical concepts in practices of inquiry; effectively opening up the process of data analysis in qualitative research. It uses a common data set and utilizes various theoretical perspectives through which to view the data. It challenges qualitative researchers to use theory to accomplish a rigorous, analytic reading of qualitative data. "Plugging in" the theory and the data produces a variety of readings applying various theorists and their concepts, including: Derrida - Deconstruction Spivak – Postcolonial Marginality Foucault - Power/Knowledge Butler - Performativity Deleuze – Desire Barad – Material Intra-activity Thinking With Theory In Qualitative Research pushes against traditional qualitative data analysis such as mechanistic coding, reducing data to themes, and writing up transparent narratives. These do little to critique the complexities of social life; such simplistic approaches preclude dense and multi-layered treatment of data. It shows that "thinking with theory" pushes research and data and theory to its exhaustion in order to produce knowledge differently. By refusing a closed system for fixed meaning, a new analytic is engaged to keep meaning on the move. The result is an extension of thought beyond an easy sense. Special features of the book include schematic cues to help guide the reader through what might be new theoretical terrain, interludes that explain the possibilities of thinking with a particular concept and theorist and detailed chapters that plug the same data set into a specific concept. This vital tool will help researchers understand and fully utilize their powers of data analysis and will prove invaluable to both students and experienced researchers across all of the social sciences.