Qualitative Data Analysis

It is a must-have tool book for moving from data analysis to writing for publication!" –Guofang Li, University of British Columbia, Canada Miles, Huberman, and Saldaña’s Qualitative Data Analysis: A Methods Sourcebook is the ...

Qualitative Data Analysis

"This comprehensive, practical, user-friendly book provides a wealth of data analysis strategies that are essential for any qualitative research. It is a must-have tool book for moving from data analysis to writing for publication!" –Guofang Li, University of British Columbia, Canada Miles, Huberman, and Saldaña’s Qualitative Data Analysis: A Methods Sourcebook is the authoritative text for analyzing and displaying qualitative research data. The Fourth Edition maintains the analytic rigor of previous editions while showcasing a variety of new visual display models for qualitative inquiry. Graphics are added to the now-classic matrix and network illustrations of the original co-authors. Five chapters have been substantially revised, and the appendix’s annotated bibliography includes new titles in research methods. Graduate students and established scholars from all disciplines will find this resource an innovative compendium of ideas for the representation and presentation of qualitative data. As the authors demonstrate, when researchers "think display," their analyses of social life capture the complex and vivid processes of the people and institutions studied.

Qualitative Data Analysis

many colleagues in the design , testing , and use of qualita- tive data analysis methods . Strong emphasis is placed on data displays - matrices and networks - that go beyond or- dinary narrative text . Each method of data display and ...

Qualitative Data Analysis

The latest edition of this best-selling textbook by Miles and Huberman not only is considerably expanded in content, but is now available in paperback. Bringing the art of qualitative analysis up-to-date, this edition adds hundreds of new techniques, ideas and references developed in the past decade. The increase in the use of computers in qualitative analysis is also reflected in this volume. There is an extensive appendix on criteria to choose from among the currently available analysis packages. Through examples from a host of social science and professional disciplines, Qualitative Data Analysis remains the most comprehensive and complete treatment of this topic currently available to scholars and applied researchers.

Data Analysis and Methods of Qualitative Research

"This authored book examines practical techniques for researchers undertaking qualitative projects that are not contaminated with quantitative or mixed methods research methods and concepts, by discussing in detail methods related to social ...

Data Analysis and Methods of Qualitative Research

"This authored book examines practical techniques for researchers undertaking qualitative projects that are not contaminated with quantitative or mixed methods research methods and concepts, by discussing in detail methods related to social constructions paradigms"--

Computer Aided Qualitative Data Analysis

Computer-Aided Qualitative Data Analysis offers an invaluable guide to the rapidly developing arena of research practice.

Computer Aided Qualitative Data Analysis

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.

The SAGE Handbook of Qualitative Data Analysis

This handbook is the first to provide a state-of-the art overview of the whole field of QDA; from general analytic strategies used in qualitative research, to approaches specific to particular types of qualitative data, including talk, text ...

The SAGE Handbook of Qualitative Data Analysis

The wide range of approaches to data analysis in qualitative research can seem daunting even for experienced researchers. This handbook is the first to provide a state-of-the art overview of the whole field of QDA; from general analytic strategies used in qualitative research, to approaches specific to particular types of qualitative data, including talk, text, sounds, images and virtual data. The handbook includes chapters on traditional analytic strategies such as grounded theory, content analysis, hermeneutics, phenomenology and narrative analysis, as well as coverage of newer trends like mixed methods, reanalysis and meta-analysis. Practical aspects such as sampling, transcription, working collaboratively, writing and implementation are given close attention, as are theory and theorization, reflexivity, and ethics. Written by a team of experts in qualitative research from around the world, this handbook is an essential compendium for all qualitative researchers and students across the social sciences.

Introduction to Research Methods and Data Analysis in Psychology

This second edition has been thoroughly revised and updated to include a number of new chapters and additional topics such as e-research, mixed methods, and R (a statistical software package).

Introduction to Research Methods and Data Analysis in Psychology

Introduction to Research Methods and Data Analysis in Psychology 2e presents quantitative and qualitative research methods and the most widely used techniques for collecting and analysing data. It provides clear and accessible coverage to equip the reader with an understanding of the research process and the practical skills they need to collect and analyse data. This second edition has been thoroughly revised and updated to include a number of new chapters and additional topics such as e-research, mixed methods, and R (a statistical software package). Detailed information is provided on experimental design and statistical analysis by hand and using SPSS v. 16.0. Expanded coverage of a range of areas including literature reviewing, the statistical techniques of ANOVA and MANOVA, and psychometrics is also provided. The text assumes that the reader has no previous knowledge of research methods or psychology and is therefore essential reading for undergraduate psychology students plus highly recommended for students on other social and health science courses.

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.

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.

Qualitative Research Using R A Systematic Approach

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.

Qualitative Research Using R  A Systematic Approach

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

Nursing Research Using Data Analysis

Nursing Research Using Data Analysis: Qualitative Designs and Methods in Nursing is one book in a series of seven volumes that presents concise, how-to guides to conducting qualitative research -- for novice researchers and specialists ...

Nursing Research Using Data Analysis

Nursing Research Using Data Analysis: Qualitative Designs and Methods in Nursing is one book in a series of seven volumes that presents concise, how-to guides to conducting qualitative research -- for novice researchers and specialists seeking to develop or expand their competency, health institution research divisions, in-service educators and students, and graduate nursing educators and students.

Qualitative Data Analysis

Balancing theoretical foundations with practical strategies, this book helps you develop an approach to your qualitative analysis that is both systematic and insightful.

Qualitative Data Analysis


Analyzing and Interpreting Qualitative Research

This text provides comprehensive coverage of the key methods for analyzing, interpreting, and writing up qualitative research in a single volume, and drawing on the expertise of major names in the field.

Analyzing and Interpreting Qualitative Research

This text provides comprehensive coverage of the key methods for analyzing, interpreting, and writing up qualitative research in a single volume, and drawing on the expertise of major names in the field. Covering all the steps in the process of analyzing, interpreting, and presenting findings in qualitative research, the authors utilize a consistent chapter structure that provides novice and seasoned researchers with pragmatic, "how-to" strategies. Each chapter introduces the method; uses one of the authors′ own research projects as a case study of the method described; shows how the specific analytic method can be used in other types of studies; and concludes with questions and activities to prompt class discussion or personal study.

Qualitative Research Data Collection and Data Analysis Techniques 2nd Edition UUM Press

Hence, in his or her capacity as researcher-cum- bricoleur, the person should be adept at identifying the various data collection and data analysis methods to facilitate his or her research.

Qualitative Research  Data Collection and Data Analysis Techniques  2nd Edition  UUM Press

Qualitative Research: Data Collection & Data Analysis Techniques (2nd Edition) has been systematically revised with additional content, more in-depth explanations, and latest references to enhance the knowledge and skills required for those interested in conducting qualitative research. The reader-friendly organisation and writing style of this edition provides guaranteed accessibility to a wide array of readers ranging from established scholars to novice researchers and undergraduates. Each chapter in this edition is set to provide a clear, contextualised and comprehensive coverage of the main qualitative research methods (interviews, focus groups, observations, diary studies, archival document analysis, and content analysis) aimed at equipping readers with a thorough understanding of the design, procedures and skills to effectively undertake qualitative research. At the same time, the authors have anticipated major concerns such as ethical issues that qualitative researchers often face and addressed them in the various chapters. This effort has been made possible through the collaboration involving notable qualitative research scholars from different tertiary institutions – Assoc. Prof. Dr. Puvensvary Muthiah (ELT Consultant), Dr. R. Sivabala Naidu (Taylor’s College), Assoc. Prof. Dr. Mastura Badzis (International Islamic University Malaysia), Dr. Radziah Abdul Rahim (formerly attached to National Defense University of Malaysia), Dr. Noor Fadhilah Mat Nayan (University of Reading), and Assoc. Prof. Noor Hashima Abd Aziz (Universiti Utara Malaysia).

Qualitative Data Analysis with NVivo

Practical, focused and jargon-free this book shows you the power and potential of NVivo software across a wide range of research questions, data types, perspectives and methodologies.

Qualitative Data Analysis with NVivo

Practical, focused and jargon-free this book shows you the power and potential of NVivo software across a wide range of research questions, data types, perspectives and methodologies.

Qualitative Data Analysis

Miles and Huberman have designed a practical sourcebook in which strong emphasis is placed on innovative types of data display, including charts, graphs, matrices and networks.

Qualitative Data Analysis

Qualitative data is unsurpassable for richness of detail, explanatory power, and intuitive 'undeniability' -- but can the data be described as scientific? Qualitative researchers are badly in need of systematic methods for drawing conclusions; for testing them; and for communicating them. Miles and Huberman have designed a practical sourcebook in which strong emphasis is placed on innovative types of data display, including charts, graphs, matrices and networks. Forty nine specific methods of data display and analysis are described, explained, and illustrated, with helpful suggestions for the user.

Qualitative Techniques for Workplace Data Analysis

In spite of its systematic step-driven process, thematic analysis is the most flexible and primarily used data analysis methods in qualitative research. It provides with core skills for conducting different other forms of qualitative ...

Qualitative Techniques for Workplace Data Analysis

In businesses and organizations, understanding the social reality of individuals, groups, and cultures allows for in-depth understanding and rich analysis of multiple research areas to improve practices. Qualitative research provides important insight into the interactions of the workplace. Qualitative Techniques for Workplace Data Analysis is an essential reference source that discusses the qualitative methods used to analyze workplace data, as well as what measures should be adopted to ensure the credibility and dependability of qualitative findings in the workplace. Featuring research on topics such as collection methods, content analysis, and sampling, this book is ideally designed for academicians, development practitioners, business managers, and analytic professionals seeking coverage on quality measurement techniques in the occupational settings of emerging markets.

Qualitative Data Analysis International Student Edition

" -Guofang Li, University of British Columbia, Canada Miles, Huberman, and Saldaña's Qualitative Data Analysis: A Methods Sourcebook is the authoritative text for analyzing and displaying qualitative research data.

Qualitative Data Analysis   International Student Edition

Graduate students and established scholars from all disciplines will find this resource an innovative compendium of ideas for the representation and presentation of qualitative data.

Clinical Research

INTRODUCTION In this chapter , we focus on approaches to data collection and analysis in qualitative research studies . As emphasized in chapter 12 , qualitative approaches to research constitute a distinct and valuable complementary ...

Clinical Research

This unique textbook integrates statistical concepts into evidence-based clinical practice and patient management. Research concepts and techniques are drawn from epidemiology, bio-statistics, and psychometrics, as well as educational and social science research. Clinical examples throughout the text illustrate practical and scientifically sound applications of the concepts. Data tables and research vignettes highlight statistical distributions involving probability. Methods to locate and utilize web-based information relevant to clinical research are discussed, and web URLs are provided. Further learning is encouraged by the inclusion of suggested activities, recommended readings, references, and a comprehensive glossary of research terms. Additional resources are available at a Connection Website, connection.LWW.com/go/stommel.

The SAGE Handbook of Qualitative Data Analysis

Hammersley, Martyn (2004) 'Teaching qualitative method: Craft, profession or bricolage? ... Huberman, A. Michael and Miles, Matthew B. (1998) 'Data management and analysis methods', in Norman Denzin and Yvonna S. Lincoln (eds), ...

The SAGE Handbook of Qualitative Data Analysis

The wide range of approaches to data analysis in qualitative research can seem daunting even for experienced researchers. This handbook is the first to provide a state-of-the art overview of the whole field of QDA; from general analytic strategies used in qualitative research, to approaches specific to particular types of qualitative data, including talk, text, sounds, images and virtual data. The handbook includes chapters on traditional analytic strategies such as grounded theory, content analysis, hermeneutics, phenomenology and narrative analysis, as well as coverage of newer trends like mixed methods, reanalysis and meta-analysis. Practical aspects such as sampling, transcription, working collaboratively, writing and implementation are given close attention, as are theory and theorization, reflexivity, and ethics. Written by a team of experts in qualitative research from around the world, this handbook is an essential compendium for all qualitative researchers and students across the social sciences.

Selecting the Right Analyses for Your Data

The book shows how using the right analysis methods leads to more justifiable conclusions and more persuasive presentations of research results.

Selecting the Right Analyses for Your Data

"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"--