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Working with Qualitative Data

Working with Qualitative Data provides a practical and accessible introduction to how to develop and apply strategies for the analysis of qualitative data by exploring the ways in which analysis is related to all aspects of research. By situating analysis in the context of the whole research process, this book helps the reader to introduce an analytical component to every stage of doing research: from designing a project, reviewing the literature, through the various stages of gathering data, to the process of writing-up. Through practical examples the book maps out strategies for developing analytic frameworks in relation to all aspects of research, and demonstrates the ways in which such frameworks can be used in relation to various sorts of data. In contrast to existing qualitative data analysis texts, this book offers a unified approach to the process of analysis within qualitative research. It will be of great use to students and researchers across the full range of social, health and education sciences.

The analysis of 'themes' in relation to data, such as interview transcripts,
observation schedules, fieldnotes, photographs, and so on, is often one of the
first things students refer to when they are asked to describe what qualitative
analysis means. Indeed, the reader may recall the definition of 'analysis' provided
by Marshall and Rossman (2006) that we presented in Chapter 1. In this
definition, 'themes' were offered as a key aspect of qualitative analysis. As we use
it here, the term ...

Qualitative Data Analysis

A User Friendly Guide for Social Scientists

First Published in 2004. Routledge is an imprint of Taylor & Francis, an informa company.

First Published in 2004. Routledge is an imprint of Taylor & Francis, an informa company.

Transforming Qualitative Data

Description, Analysis, and Interpretation

The process of analyzing qualitative data and producing a complete study is discussed in this book. Breaking down the transformation process into description, analysis and interpretation, Harry Wolcott discusses these three related activities. To illustrate them, he critically analyzes his own work, using nine of his previous studies as examples. He concludes by examining how to learn and teach qualitative research using these principles.

working on socially sensitive issues in AIDS research pointed out, the risk of
being sued is greatly diminished when one sticks to analysis. Computers are
good allies under such constraints; they do not propose interpretations. Most
often the term analysis is preceded by a qualifying adjective. Some designated
analyses are hopelessly broad, pointing as they do with an elbow instead of a
finger: comparative analysis, computer analysis, cultural analysis, illuminative
analysis, logical ...

Handling Qualitative Data

A Practical Guide

The third edition of Lyn Richards' best-selling book is the perfect introduction to qualitative research for students and practitioners. Recognizing that for many new researchers dealing with data is the main point of departure, this book helps them to acquire an understanding of the skills and methodological issues that are central to qualitative research. Lyn Richards provides practical guidance on how to handle, reflect on and make sense of rich data, while at the same time showing how a consideration of methods and their philosophical underpinnings informs how we should best handle our data. Detailed sections cover: the processes of making, meeting, sorting, coding, documenting and exploring qualitative data; how to see a study as a whole and write it, and making and justifying claims. Each chapter smoothly integrates software use with discussion of the main challenges that software users are likely to encounter. Novice researchers who use this book will be able to achieve valid and useful outcomes from qualitative analysis, and ensure they do justice to their data. The new edition features: - A fully updated website with expanded examples of ‘Methods in Practice’ showing students and practitioners what qualitative data analysis looks like in real life; researchers reflect back on their project and what they might have done differently. - New critical discussion on the companion website of the contributions of qualitative software and relevance of current software to project tasks. Researchers using different qualitative software packages report how they were used and where there limits were met. - Extended coverage within the text of key topics in qualitative research including ethics, reflexivity, and the relationship between research questions and methodological choices. With examples from a wide range of social science disciplines including Education, Media, Sociology, Psychology and Health, this book is the perfect companion for all those starting out qualitative research.

Selection is always necessary, and by selecting, you impose your interpretation.
Making data is thus highly purposive. Any fool with an audio recorder can record
what people say about something. But a skilled interviewer makes data relevant
for the purposes of the project. And those purposes will change during the project
, as you learn more about what you don't know. Such flexibility is normally not
available to the researcher with large databases. If your data come from the '
writeins' ...

Qualitative Data

An Introduction to Coding and Analysis

In many arenas the debate is raging over the nature of sexual orientation. Queer Words, Queer Images addresses this debate, but with a difference, arguing that homosexuality has become an issue precisely because of the way in which we discuss, debate, and communicate about the concept and experience of homosexuality. The debate over homosexuality is fundamentally an issue of communication--as we can see by the recent controversy over gays in the military. This controversy, termed by one gay man as the annoying habit of heterosexual men to overestimate their own attractiveness, has been debated in communication-sensitive terms, such as morale and discipline. The twenty chapters address such subjects as gay political language, homosexuality and AIDS on prime-time television, the politics of male homosexuality in young adult fiction, the identification of female athleticism with lesbianism, the politics of identity in the works of Edmund White, and coming out strategies. This is must reading for students of communication practices and theory, and for everyone interested in human sexuality. Contributing to the book are: James Chesebro (Indiana State), James Darsey (Ohio State), Joseph A. Devito (Hunter College, CUNY), Timothy Edgar (Purdue), Mary Anne Fitzpatrick (Wisconsin, Madison), Karen A. Foss (Humboldt State), Kirk Fuoss (St. Lawrence), Larry Gross (Pennsylvania), Darlene Hantzis (Indiana State), Fred E. Jandt (California State, San Bernardino), Mercilee Jenkins (San Francisco State), Valerie Lehr (St. Lawrence), Lynn C. Miller (Texas, Austin), Marguerite Moritz (Colorado, Boulder), Fred L. Myrick (Spring Hill), Emile Netzhammer (Buffalo State), Elenie Opffer, Dorothy S. Painter (Ohio State), Karen Peper (Michigan), Nicholas F. Radel (Furman), R. Jeffrey Ringer (St. Cloud State), Scott Shamp (Georgia), Paul Siegel (Gallaudet), Jacqueline Taylor (Depaul), Julia T. Wood (North Carolina, Chapel Hill).

The data analyses that you have learned to do by hand can also be done with a
computer program called a qualitative data analysis program, or a QDA program
for short. In this appendix we are going to explain how. It is helpful to begin with a
few general remarks about the use of computers in qualitative data analysis.
When we introduce students to this topic, they often respond with "Great! Now I
can just plug my transcripts into the program and it will do the analysis for me."
Naturally ...

Collecting Qualitative Data

A Field Manual for Applied Research

Collecting Qualitative Data: A Field Manual for Applied Research provides a very practical, step-by-step guide to collecting and managing qualitative data. The data collection chapters focus on the three most often used forms of qualitative data collection: participant observation, in-depth interviews, and focus groups. The book also contains chapters on other practical aspects of qualitative field research often neglected in textbooks, including sampling, data management, research ethics, and supplementary data collection activities. Designed as an instructional field manual, this textbook includes many checklists and tips for how to use each technique while doing research. It also includes numerous real-life examples and cases, making it easy for readers to see the broader picture.

The book also contains chapters on other practical aspects of qualitative field research often neglected in textbooks, including sampling, data management, research ethics, and supplementary data collection activities.

Qualitative Data Analysis Using a Dialogical Approach

In this important new text, Paul Sullivan introduces readers to a qualitative methodology rooted in the analysis of dialogue and subjectivity: the dialogical approach. Sullivan unpacks the theory behind a dialogical approach to qualitative research, and relates issues of philosophy and methodology to the practical process of actually doing qualitative research. Sullivan's book foregrounds the role of atmosphere, subjectivity and authorial reflection within texts. His work also enables the researcher to attend to the conflicts, judgments and interpretive activities that take place in language use. Practically speaking, the dialogical approach enables analysis of direct and indirect discourse, speech genres, hesitations, irony and a variety of other conditions that shape our understanding of dialogue in context. As well as exploring the theory behind this innovative method, Sullivan provides sound practical advice that recognises the everyday analytic needs of the reader. Topics include: • The theoretical foundations of the approach • The role of subjectivity in qualitative research • Data preparation and analysis • The future of the approach Theoretical discussion is consistently accompanied by research examples and suggestions as to how the dialogical approach could be used in the reader's own research. This important and timely book is ideal for any reader who wants to do research with dialogue and who is keen to attend to the full nuances and complexities of discourse.

In this important new text, Paul Sullivan introduces readers to a qualitative methodology rooted in the analysis of dialogue and subjectivity: the dialogical approach.

Analyzing Qualitative Data

Systematic Approaches

Through the use of real-life social science examples, this book walks upper-division undergraduate to graduate students through the steps of collecting and analyzing qualitative data. Rather than cover data collection in separate chapters isolated from analysis techniques, the authors pair each data collection technique with the appropriate analytic method. The authors first cover word-based techniques (such as KWIC, word counts, componential analysis, taxonomies, mental maps, and semantic networks.) They next cover discovery techniques (grounded theory, schema analysis, sequential analysis, and analytic induction) followed by confirmatory techniques (tables and matrices, classic content analysis, content dictionaries, and ethnographic decision modeling.) In the last section of the book, the authors tackle philosophical issues related to sampling, reliability and validity as well as how to select the appropriate software. Carefully crafted exercises will provide readers with experiences for practicing the concepts in each chapter. This book will provide readers with not only the most complete information on doing qualitative collection and analysis, but a guide to selecting among the complete variety of qualitative techniques.

Through the use of real-life social science examples, this book walks upper-division undergraduate to graduate students through the steps of collecting and analyzing qualitative data.

Modes of Thinking for Qualitative Data Analysis

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.

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.

Qualitative Data Analysis

A Methods Sourcebook

The Third Edition of Miles & Huberman's classic research methods text is updated and streamlined by Johnny Saldaña, author of The Coding Manual for Qualitative Researchers. Several of the data display strategies from previous editions are now presented in re-envisioned and reorganized formats to enhance reader accessibility and comprehension. The Third Edition’s presentation of the fundamentals of research design and data management is followed by five distinct methods of analysis: exploring, describing, ordering, explaining, and predicting. Miles and Huberman's original research studies are profiled and accompanied with new examples from Saldaña's recent qualitative work. The book's most celebrated chapter, "Drawing and Verifying Conclusions," is retained and revised, and the chapter on report writing has been greatly expanded, and is now called “Writing About Qualitative Research.” Comprehensive and authoritative, Qualitative Data Analysis has been elegantly revised for a new generation of qualitative researchers.

The book's most celebrated chapter, "Drawing and Verifying Conclusions," is retained and revised, and the chapter on report writing has been greatly expanded, and is now called “Writing About Qualitative Research.” Comprehensive and ...