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PART ONE: CONCEPTUAL ISSUES IN THE USE OF QUALITATIVE METHODS The Nature of Qualitative Inquiry Strategic Themes in Qualitative Methods Variety in Qualitative Inquiry Theoretical Orientations Particularly Appropriate Qualitative Applications PART TWO: QUALITATIVE DESIGNS AND DATA COLLECTION Designing Qualitative Studies Fieldwork Strategies and Observation Methods Qualitative Interviewing PART THREE: ANALYSIS, INTERPRETATION, AND REPORTING Qualitative Analysis and Interpretation Enhancing the Quality and Credibility of Qualitative Analysis

Preface vii The Author xv PART ONE: THE DESIGN OF QUALITATIVE RESEARCH 1 1 What is Qualitative Research? 3 2 Types of Qualitative Research 21 3 Qualitative Case Study Research 39 4 Designing Your Study and Selecting a Sample 55 PART TWO: COLLECTING QUALITATIVE DATA 85 5 Conducting Effective Interviews 87 6 Being a Careful Observer 117 7 Mining Data from Documents 139 PART THREE: ANALYZING AND REPORTING QUALITATIVE DATA 165 8 Qualitative Data Analysis 169 9 Dealing with Validity, Reliability, and Ethics 209 10 Writing Qualitative Research Reports 237 Appendix: The Methodology Section of a Qualitative Research Study 265 References 271 Name Index 287 Subject Index 293

IN THIS SECTION: 1.) BRIEF 2.) COMPREHENSIVE BRIEF TABLE OF CONTENTS: Chapter 1: Introduction Chapter 2: Designing Qualitative Research Chapter 3: Ethical Issues Chapter 4: A Dramaturgical Look at Interviewing Chapter 5: Focus Group Interviewing Chapter 6: Ethnographic Field Strategies Chapter 7: Action Research Chapter 8: Unobtrusive Measures in Research Chapter 9: Social Historical Research and Oral Traditions Chapter 10: Case Studies Chapter 11: An Introduction to Content Analysis Chapter 12: Writing Research Papers: Sorting the Noodles from the Soup COMPREHENSIVE TABLE OF CONTENTS: Chapter 1: Introduction Quantitative Versus Qualitative Schools of Thought Use of Triangulation in Research Methodology Qualitative Strategies: Defining an Orientation From a Symbolic Interactionist Perspective Why Use Qualitative Methods? A Plan of Presentation Chapter 2: Designing Qualitative Research Theory and Concepts Ideas and Theory Reviewing the Literature Evaluating Web Sites Content versus Use Theory, Reality, and the Social World Framing Research Problems Operationalization and Conceptualization Designing Projects Data Collection and Organization Data Storage, Retrieval, and Analysis Dissemination Trying It Out Chapter 3: Ethical Issues Research Ethics in Historical Perspective From Guidelines to Law: Regulations on the Research Process Institutional Review Boards (IRBs) Ethical Codes Some Common Ethical Concerns in Behavioral Research New Areas for Ethical Concern: Cyberspace Informed Consent and Implied Consent Confidentiality and Anonymity Securing the Data Objectivity and Careful Research Design Trying It Out Chapter 4: A Dramaturgical Look at Interviewing Dramaturgy and Interviewing Types of Interviews The Data Collection Instrument Guideline Development Communicating Effectively A Few Common Problems in Question Formulation Pretesting the Schedule Long Versus Short Interviews Telephone Interviews Computer Assisted Interviewing Conducting an Interview: A Natural or an Unnatural Communication? The Dramaturgical Interview The Interviewer's Repertoire Know Your Audience Analyzing Data Obtained from the Dramaturgical Interview Trying It Out Chapter 5: Focus Group Interviewing What are Focus Groups? Working With a Group The Evolution of Focus Group Interviews Facilitating Focus Group Dynamics: How Focus Groups Work The Moderator's Guide Basic Ingredients in Focus Groups Analyzing Focus Group Data Confidentiality and Focus Group Interviews Recent Trends in Focus Groups: Online Focus Groups Trying It Out Chapter 6: Ethnographic Field Strategies Accessing a Field Setting: Getting In Reflectivity and Ethnography Critical Ethnography Becoming Invisible Other Dangers During Ethnographic Research Watching, Listening, and Learning How to Learn: What to Watch and Listen For Computers and Ethnography OnLine Ethnography Analyzing Ethnographic Data Other Analysis Strategies: Typologies, Sociograms, and Metaphors Disengaging: Getting Out Trying It Out Chapter 7: Action Research The Basics of Action Research Identifying the Research Question(s) Gathering the Information to Answer the Question(s) Analyzing and Interpreting the Information Sharing the Results with the Participants When to Use and When Not to Use Action Research The Action Researcher's Role Types of Action Research Photovoice and Action Research Action Research: A Reiteration Trying It Out Chapter 8: Unobtrusive Measures in Research Archival Strategies Physical Erosion and accretion: Human Traces as Data Sources Trying It Out Chapter 9: Social Historical Research and Oral Traditions What Is Historical Research? Life Histories and Social History What Are the Sources of Data for Historical Researchers? Doing Historiography: Tracing Written History as Data What Are Oral Histories? Trying It Out Chapter 10: Case Studies The Nature of Case Studies Theory and Case Studies The Individual Case Study Intrinsic, Instrumental, and Collective Case Studies Case Study Design Types Designing Case Studies The Scientific Benefit of Case Studies Case Studies of Organizations Case Studies of Communities Trying It Out Chapter 11: An Introduction to Content Analysis What is Content Analysis? Analysis of Qualitative Data Content Analysis as a Technique Content Analysis: Quantitative or Qualitative? Communication Components What to Count: Levels and Units of Analysis Category Development: Building Grounded Theory Discourse Analysis and Content Analysis Open Coding Coding Frames Stages in the Content Analysis Process Strengths and Weaknesses of the Content Analysis Process Computers and Qualitative Analysis Qualitative Research at the Speed of Light Trying It Out Chapter 12: Writing Research Papers: Sorting the Noodles from the Soup Plagiarism: What It Is, Why It's Bad, and How to Avoid It Identifying the Purpose of the Writing: Arranging the Noodles Delineating a Supportive Structure: Visual Signals for the Reader Terms and Conditions Presenting Research Material A Word About the Content of Papers and Articles Write It, Rewrite It, Then Write It Again! A Few Writing Hints A Final Note

Comprend des références bibliographiques et un index.

The teaching of qualitative analysis in the social sciences is rarely undertaken in a structured way. This handbook is designed to remedy that and to present students and researchers with a systematic method for interpreting qualitative data', whether derived from interviews, field notes, or documentary materials. The special emphasis of the book is on how to develop theory through qualitative analysis. The reader is provided with the tools for doing qualitative analysis, such as codes, memos, memo sequences, theoretical sampling and comparative analysis, and diagrams, all of which are abundantly illustrated by actual examples drawn from the author's own varied qualitative research and research consultations, as well as from his research seminars. Many of the procedural discussions are concluded with rules of thumb that can usefully guide the researchers' analytic operations. The difficulties that beginners encounter when doing qualitative analysis and the kinds of persistent questions they raise are also discussed, as is the problem of how to integrate analyses. In addition, there is a chapter on the teaching of qualitative analysis and the giving of useful advice during research consultations, and there is a discussion of the preparation of material for publication. The book has been written not only for sociologists but for all researchers in the social sciences and in such fields as education, public health, nursing, and administration who employ qualitative methods in their work.

1. Foundations of Qualitative Research in Education: An Introduction. Characteristics of Qualitative Research. Traditions of Qualitative Research. Theoretical Underpinnings. Ten Common Questions About Qualitative Research. Ethics. What Is to Come. 2. Research Design. Choosing a Study. Case Studies. Multi-Site Studies. Additional Issues Related to Design. Concluding Remarks. 3. Fieldwork. Gaining Access. First Days in the Field. The Participant/Observer Continuum. Doing Fieldwork in Another Culture. Researcher Characteristics and Special Problems with Rapport. Be Discreet. Research in Politically Charged and Conflict-Ridden Settings. Feelings. How Long Should an Observation Session Be? Interviewing. Visual Recording and Fieldwork. Triangulation. Leaving the Field. 4. Qualitative Data. Some Friendly Advice. Fieldnotes. The Process of Writing Fieldnotes. Transcripts from Taped Interviews. Documents. Photography. Official Statistics and Other Quantitative Data. Concluding Remarks. 5. Data Analysis. Analysis in the Field. Analysis After Data Collection. The Mechanics of Working with Data. Concluding Remarks. 6. Writing It Up. Writing Choices. More Writing Tips. Criteria for Evaluating Writing. Texts. A Final Point About Getting Started. 7. Applied Qualitative Research for Education. Evaluation and Policy Research. Action Research. Practitioner Uses of Qualitative Research. Appendix A. Examples of Observational Questions for Educational Settings. Appendix B. Examples of Fieldnotes. Glossary. References. Index.

PURPOSE: Standards for reporting exist for many types of quantitative research, but currently none exist for the broad spectrum of qualitative research. The purpose of the present study was to formulate and define standards for reporting qualitative research while preserving the requisite flexibility to accommodate various paradigms, approaches, and methods. METHOD: The authors identified guidelines, reporting standards, and critical appraisal criteria for qualitative research by searching PubMed, Web of Science, and Google through July 2013; reviewing the reference lists of retrieved sources; and contacting experts. Specifically, two authors reviewed a sample of sources to generate an initial set of items that were potentially important in reporting qualitative research. Through an iterative process of reviewing sources, modifying the set of items, and coding all sources for items, the authors prepared a near-final list of items and descriptions and sent this list to five external reviewers for feedback. The final items and descriptions included in the reporting standards reflect this feedback. RESULTS: The Standards for Reporting Qualitative Research (SRQR) consists of 21 items. The authors define and explain key elements of each item and provide examples from recently published articles to illustrate ways in which the standards can be met. CONCLUSIONS: The SRQR aims to improve the transparency of all aspects of qualitative research by providing clear standards for reporting qualitative research. These standards will assist authors during manuscript preparation, editors and reviewers in evaluating a manuscript for potential publication, and readers when critically appraising, applying, and synthesizing study findings.

The general view of descriptive research as a lower level form of inquiry has influenced some researchers conducting qualitative research to claim methods they are really not using and not to claim the method they are using: namely, qualitative description. Qualitative descriptive studies have as their goal a comprehensive summary of events in the everyday terms of those events. Researchers conducting qualitative descriptive studies stay close to their data and to the surface of words and events. Qualitative descriptive designs typically are an eclectic but reasonable combination of sampling, and data collection, analysis, and re-presentation techniques. Qualitative descriptive study is the method of choice when straight descriptions of phenomena are desired.

BACKGROUND: Qualitative research explores complex phenomena encountered by clinicians, health care providers, policy makers and consumers. Although partial checklists are available, no consolidated reporting framework exists for any type of qualitative design. OBJECTIVE: To develop a checklist for explicit and comprehensive reporting of qualitative studies (in depth interviews and focus groups). METHODS: We performed a comprehensive search in Cochrane and Campbell Protocols, Medline, CINAHL, systematic reviews of qualitative studies, author or reviewer guidelines of major medical journals and reference lists of relevant publications for existing checklists used to assess qualitative studies. Seventy-six items from 22 checklists were compiled into a comprehensive list. All items were grouped into three domains: (i) research team and reflexivity, (ii) study design and (iii) data analysis and reporting. Duplicate items and those that were ambiguous, too broadly defined and impractical to assess were removed. RESULTS: Items most frequently included in the checklists related to sampling method, setting for data collection, method of data collection, respondent validation of findings, method of recording data, description of the derivation of themes and inclusion of supporting quotations. We grouped all items into three domains: (i) research team and reflexivity, (ii) study design and (iii) data analysis and reporting. CONCLUSIONS: The criteria included in COREQ, a 32-item checklist, can help researchers to report important aspects of the research team, study methods, context of the study, findings, analysis and interpretations.

The Third Edition of Miles & Huberman's classic research methods text is updated and streamlined by Johnny SaldaNa, 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 SaldaNa'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.

Chapter 1. Introduction Chapter 2. Philosophical Assumptions and Interpretive Frameworks Chapter 3. Designing a Qualitative Study Chapter 4. Five Qualitative Approaches to Inquiry Chapter 5. Five Different Qualitative Studies Chapter 6. Introducing and Focusing the Study Chapter 7. Data Collection Chapter 8. Data Analysis and Representation Chapter 9. Writing a Qualitative Study Chapter 10. Standards of Validation and Reliability in Qualitative Research Chapter 11. Turning the Story and Conclusion Appendix A. An Annotated Glossary of Terms Appendix B. A Narrative Research Study Appendix C. A Phenomenological Study Appendix D. A Grounded Theory Study Appendix E. An Ethnography Appendix F. A Case Study

he definitive guide to the full qualitative research process, from design to dissemination, this is everything you need to understand how good quality research is produced, and how to use and enrich your own work with it.

This book explains clearly conceptual issues and themes on qualitative research and evaluaton methods including: qualitative data, triangulated inquiry, qualitative inquiry, constructivism, constructionism, Complexity (chaos) theory, qualitative designs and data collection, fieldwork strategies, interviewing, tape-recording, ethical issues, analysis, interpretation and reporting, observations vs. perceived impacts and utilisation-focused evaluation reporting.

Sample sizes must be ascertained in qualitative studies like in quantitative studies but not by the same means. The prevailing concept for sample size in qualitative studies is "saturation." Saturation is closely tied to a specific methodology, and the term is inconsistently applied. We propose the concept "information power" to guide adequate sample size for qualitative studies. Information power indicates that the more information the sample holds, relevant for the actual study, the lower amount of participants is needed. We suggest that the size of a sample with sufficient information power depends on (a) the aim of the study, (b) sample specificity, (c) use of established theory, (d) quality of dialogue, and (e) analysis strategy. We present a model where these elements of information and their relevant dimensions are related to information power. Application of this model in the planning and during data collection of a qualitative study is discussed.

This is the second in a series of three articles Contrary to popular perception, qualitative research can produce vast amounts of data. These may include verbatim notes or transcribed recordings of interviews or focus groups, jotted notes and more detailed “fieldnotes” of observational research, a diary or chronological account, and the researcher's reflective notes made during the research. These data are not necessarily small scale: transcribing a typical single interview takes several hours and can generate 20–40 pages of single spaced text. Transcripts and notes are the raw data of the research. They provide a descriptive record of the research, but they cannot provide explanations. The researcher has to make sense of the data by sifting and interpreting them. #### Summary points Qualitative research produces large amounts of textual data in the form of transcripts and observational fieldnotes The systematic and rigorous preparation and analysis of these data is time consuming and labour intensive Data analysis often takes place alongside data collection to allow questions to be refined and new avenues of inquiry to develop Textual data are typically explored inductively using content analysis to generate categories and explanations; software packages can help with analysis but should not be viewed as short cuts to rigorous and systematic analysis High quality analysis of qualitative data depends on the skill, vision, and integrity of the researcher; it should not be left to the novice In much qualitative research the analytical process begins during data collection as the data already gathered are analysed and shape the ongoing data collection. This sequential analysis1 or interim analysis2 has the advantage of allowing the researcher to go back and refine questions, develop hypotheses, and pursue emerging avenues of inquiry in further depth. Crucially, it also enables the researcher to look for deviant or negative cases; that is, …

Qualitative Inquiry and Research Design provides an overview of the five main traditions of qualitative research. The author explains the uniqueness of each approach and its applicability to different types of inquiry. Illustrative examples from public health and social science fields are provided. The book details study design, question development, data collection and analysis, and summarizing and interpreting results, and how the research process differs according to each approach. This resource can serve as a useful guide for public health practitioners and graduate-level students interested in the theory and practice of rigorous qualitative research.

Are you thinking about doing a qualitative study, or currently in the middle of one? If so, Joseph A. Maxwell's Qualitative Research Design is the reliable guide for you. Taking a hands-on, innovative approach to qualitative design, it emphasizes the components of a design and how these interact with each other and the environment in which the study is situated. Maxwell provides a clear strategy for creating coherent and workable relationships among these design components, highlighting the key design issues to deal with and describing the main considerations that inform your decisions about these issues. These design issues include clarifying the purpose of your study; creating a theoretical context for the research; formulating research questions; developing a relationship with the people you are studying; making decisions about sampling, data collection, and analysis; and, assessing validity threats and alternative explanations to your study's conclusions

A general inductive approach for analysis of qualitative evaluation data is described. The purposes for using an inductive approach are to (a) condense raw textual data into a brief, summary format; (b) establish clear links between the evaluation or research objectives and the summary findings derived from the raw data; and (c) develop a framework of the underlying structure of experiences or processes that are evident in the raw data. The general inductive approach provides an easily used and systematic set of procedures for analyzing qualitative data that can produce reliable and valid findings. Although the general inductive approach is not as strong as some other analytic strategies for theory or model development, it does provide a simple, straightforward approach for deriving findings in the context of focused evaluation questions. Many evaluators are likely to find using a general inductive approach less complicated than using other approaches to qualitative data analysis.

Most writing on sociological method has been concerned with how accurate facts can be obtained and how theory can thereby be more rigorously tested. In The Discovery of Grounded Barney Glaser and Anselm Strauss address the equally Important enterprise of how the discovery of theory from data--systematically obtained and analyzed in social research--can be furthered. The discovery of theory from data--grounded theory--is a major task confronting sociology, for such a theory fits empirical situations, and is understandable to sociologists and laymen alike. Most important, it provides relevant predictions, explanations, interpretations, and applications. In Part I of the book, Generation Theory by Comparative Analysis, the authors present a strategy whereby sociologists can facilitate the discovery of grounded theory, both substantive and formal. This strategy involves the systematic choice and study of several comparison groups. In Part II, The Flexible Use of Data, the generation of theory from qualitative, especially documentary, and quantitative data Is considered. In Part III, Implications of Grounded Theory, Glaser and Strauss examine the credibility of grounded theory. The Discovery of Grounded Theory is directed toward improving social scientists' capacity for generating theory that will be relevant to their research. While aimed primarily at sociologists, it will be useful to anyone Interested In studying social phenomena--political, educational, economic, industrial-- especially If their studies are based on qualitative data.