This book tackles the challenges of how to make sense of qualitative data.
Author: Graham R Gibbs
This book tackles the challenges of how to make sense of qualitative data. It offers students and researchers a hands-on guide to the practicalities of coding, comparing data, and using computer-assisted qualitative data analysis. Lastly, Gibbs shows you how to bring it all together, so you can see the steps of qualitative analysis, understand the central place of coding, ensure analytic quality and write effectively to present your results.
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.
Author: H. Russell Bernard
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.
New to this edition is the integration of qualitative analysis software, coverage of new approaches of inquiry, inclusion of mixed methods, and examples from a wider range of social science disciplines.
Author: Matthew B. Miles
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.
Outlining how to select the most appropriate tool for analyzing data, Analysing Qualitative Data also provides the reader with an awareness of the various challenges that are unique to interpreting the conceptual and subjective data ...
Author: Graham R Gibbs
Outlining how to select the most appropriate tool for analyzing data, Analysing Qualitative Data also provides the reader with an awareness of the various challenges that are unique to interpreting the conceptual and subjective data generated in qualitative research.
This major inter-disciplinary collection is edited by two of the best respected figures in the field, and provides a superb general introduction to the analysis of qualitative data for all students.
Author: Alan Bryman
This major inter-disciplinary collection, edited by two of the best respected figures in the field, provides a superb general introduction to this subject. Chapters include discussions of fieldwork methodology, analyzing discourse, the advantages and pitfalls of team approaches, the uses of computers, and the applications of qualitative data analysis for social policy. Shrewd and insightful, the collection will be required reading for students of the latest thinking on research methods.
In this context, the objective of the Third Edition is to offer undergraduates the kind of hands-on training in qualitative research required to guide them through the process.
Author: David Silverman
In this exciting and major updating of one the most important textbooks for beginning qualitative researchers, David Silverman seeks to match the typical chronology of experience faced by the student-reader. Earlier editions of Interpreting Qualitative Data largely sought to provide material for students to answer exam questions, yet the undergraduate encounter with methods training is increasingly assessed by students doing their own research project. In this context, the objective of the Third Edition is to offer undergraduates the kind of hands-on training in qualitative research required to guide them through the process.
To help students and researchers make informed methodological choices about their own research the book addresses data collection and the writing up of research using each method, while providing a sustained comparison of the four methods, ...
Author: Evanthia Lyons
Analysing Qualitative Data in Psychology equips students and researchers in psychology and the social sciences to carry out qualitative data analysis, focusing on four major methods (grounded theory, interpretative phenomenological analysis, discourse analysis and narrative analysis). Assuming no prior knowledge of qualitative research, chapters on the nature, assumptions and practicalities of each method are written by acknowledged experts. To help students and researchers make informed methodological choices about their own research the book addresses data collection and the writing up of research using each method, while providing a sustained comparison of the four methods, backed up with authoritative analyses using the different methods.
After reading this book, readers will be able to: Analyze qualitative data and present their findings Select an appropriate qualitative analysis tool Decide on the right qualitative coding and categorization strategies for their analysis ...
Author: Philip Adu
A Step-by-Step Guide to Qualitative Data Coding is a comprehensive qualitative data analysis guide. It is designed to help readers to systematically analyze qualitative data in a transparent and consistent manner, thus promoting the credibility of their findings. The book examines the art of coding data, categorizing codes, and synthesizing categories and themes. Using real data for demonstrations, it provides step-by-step instructions and illustrations for analyzing qualitative data. Some of the demonstrations include conducting manual coding using Microsoft Word and how to use qualitative data analysis software such as Dedoose, NVivo and QDA Miner Lite to analyze data. It also contains creative ways of presenting qualitative findings and provides practical examples. After reading this book, readers will be able to: Analyze qualitative data and present their findings Select an appropriate qualitative analysis tool Decide on the right qualitative coding and categorization strategies for their analysis Develop relationships among categories/themes Choose a suitable format for the presentation of the findings It is a great resource for qualitative research instructors and undergraduate and graduate students who want to gain skills in analyzing qualitative data or who plan to conduct a qualitative study. It is also useful for researchers and practitioners in the social and health sciences fields.
Here , chi - square goodness - of - fit procedures are used , but within the context
of log - linear contingency table analysis . In this chapter , we limit discussion to
the first two situations above : log - linear analysis will be introduced in the next ...
Author: John J. Kennedy
Publisher: Praeger Publishers
During the 1980s, the use of log-linear statistical models in behavioral and life-science inquiry increased markedly. Log-linear theory has also been streamlined and refined. This second edition acquaints old and new readers with these refinements. The biggest change that has occurred is the increased availability of user-oriented computer programs for the performance of log-linear analyses. Consequently, the enhanced ability of practicing researchers to perform log-linear analyses has been accompanied by a need for didactic explanations of this system of analysis--explanations that can be readily understood by practitioners and graduate students who do not possess backgrounds in mathematical statistics.
The volume also includes an appendix explaining how to implement these data analysis procedures using NVIVO, a qualitative data analysis program.
Author: Carl Auerbach
Publisher: NYU Press
Qualitative Data is meant for the novice researcher who needs guidance on what specifically to do when faced with a sea of information. It takes readers through the qualitative research process, beginning with an examination of the basic philosophy of qualitative research, and ending with planning and carrying out a qualitative research study. It provides an explicit, step-by-step procedure that will take the researcher from the raw text of interview data through data analysis and theory construction to the creation of a publishable work. The volume provides actual examples based on the authors' own work, including two published pieces in the appendix, so that readers can follow examples for each step of the process, from the project's inception to its finished product. The volume also includes an appendix explaining how to implement these data analysis procedures using NVIVO, a qualitative data analysis program.
This is a book that will rapidly be recognized as essential for social researchers attempting qualitative approaches.
Author: Carol Grbich
Publisher: Sage Publications Limited
Qualitative Data Analysis: An Introduction provides a thorough but very accessible reference guide to epistemological changes and their impact on the field of qualitative research, together with a practical guide to the wide range of approaches social science researchers and postgraduate students are currently using to design and analyze this form of data. This is a book that will rapidly be recognized as essential for social researchers attempting qualitative approaches. It provides a first-class, reliable guide to the basic issues in data analysis with detailed examples, a glossary, further reading lists, and summaries of key points provided throughout the text.
This book presents strategies for analyzing qualitative and mixed methods data with MAXQDA software, and provides guidance on implementing a variety of research methods and approaches, e.g. grounded theory, discourse analysis and ...
Author: Udo Kuckartz
This book presents strategies for analyzing qualitative and mixed methods data with MAXQDA software, and provides guidance on implementing a variety of research methods and approaches, e.g. grounded theory, discourse analysis and qualitative content analysis, using the software. In addition, it explains specific topics, such as transcription, building a coding frame, visualization, analysis of videos, concept maps, group comparisons and the creation of literature reviews. The book is intended for masters and PhD students as well as researchers and practitioners dealing with qualitative data in various disciplines, including the educational and social sciences, psychology, public health, business or economics.
II About this book Uwe Flick Sometimes , analyzing qualitative data is seen as the
core of qualitative research in general , whereas the collection of data is more the
preliminary step in preparing this . There are different approaches to analyzing ...
Author: Uwe Flick
Publisher: SAGE Publications Limited
"This is an impressive collection that will form a must-have resource for those undertaking, teaching or studying qualitative research. It is nicely balanced to include practical advice and methodological discussion on a range of issues, including research design, data collection, analytical approaches and the political economy of contemporary qualitative research practice." - Amanda Coffey, Cardiff University The SAGE Qualitative Research Kit is a major event in the world of Research Methods publishing. The kit comprises eight quality volumes that provide practical and accessible advice on how to conduct state-of-the-art qualitative research. This is an ideal toolkit for students and researchers for use in planning and carrying out research in a variety of academic and professional environments. Each short text is written by leading researchers in each field, and provides the reader with a hands-on guide to what it is really like to do qualitative research in the field. Each book cross-references the other books in the kit, making this an invaluable tool for both teaching and for self-learning. Ideal for anyone in the social, health and educational studies fields, this is the perfect all-encompassing and detailed introduction to the practicalities of qualitative research. The SAGE Qualitative Research Kit contains the following titles Designing Qualitative Research Uwe Flick Designing Qualitative Research provides a comprehensive guide to devising an effective research design. Uwe Flick discusses each stage of the process of designing qualitative research in detail, including formulating a research question, selecting an appropriate strategy, conceptual framework and data source, and collecting and analyzing data. 1. What is qualitative research 2. From an idea to a research question 3. Sampling, selecting and Access 4. Qualitative research designs 5. Resources and stepping stones 6. Quality in qualitative research 7. Ethics in qualitative research 8. Verbal data 9. Ethnographic and visual data 10. Analysing qualitative data 11. Designing qualitative research - Some conclusions Doing Interviews Steinar Kvale Interviewing is an invaluable tool for the qualitative researcher. Steinar Kvale provides coverage of both the theoretical background and the practical aspects of the interview process, incorporating discussion of the wide variety of methods in interview based research and the different approaches to reading the data. Consideration is also given to the crucial issue of how to ensure scientific rigor. 1. Introduction to Interview Research 2. Epistemological Issues of Interviewing 3. Ethical Issues of Interviewing 4. Planning an Interview Study 5. Conducting an Interview 6. Interview Variations 7. Interview Quality 8. Transcribing Interviews 9. Analysing Interviews 10. Validation and Generalisation of Interview Knowledge 11. Reporting Interview Knowledge 12. Enhancing Interview Quality Doing Ethnographic and Observational Research Michael Angrosino Doing Ethnographic Research guides the reader through the whole research process, from site selection through the production of a final report, and provides an introduction to the variety of data collection techniques associated with ethnographic research. Illustrative case material is provided throughout to demonstrate how the guidelines set out here translate into real-life research situations. 1. Ethnography and Participant Observation 2. What Kinds of Topics Can Be Effectively and Efficiently Studied by Ethnographic Methods? 3. Selecting a Field Site 4. Data Collection in the Field 5. Focus on Observation 6. Analyzing Ethnographic Data 7. Strategies for Representing Ethnographic Data 8. Ethical Considerations 9. Ethnography for the Twenty-First Century Doing Focus Groups Rosaline Barbour Focus groups are an increasingly popular method for collecting qualitative data in the social sciences. Doing Focus Groups provides practical advice on planning and running such group successfully. Rose Barbour discusses the advantages and limitations of using group discussion and demonstrates effective methods for collecting and analysing data. 1. Introducing Focus Groups 2. Uses and Abuses of Focus Groups 3. Underpinnings of Focus Group Research 4. Research Design 5. Sampling 6. Practicalities of Planning and Running Focus Groups 7. Ethics and Engagement 8. Generating Data 9. Starting to Make Sense of Focus Group Data 10. Analytical Challenges in Focus Group Research Using Visual Data in Qualitative Research Marcus Banks Using Visual Data in Qualitative Research examines the wide range of uses of paintings, photographs, film, drawings and a host of other images in qualitative research. Marcus Banks discusses visual data produced by the researcher, and that produced by those under study, and provides a comprehensive introduction to the practice of visually-orientated research. 1. The place of visual data in social research: a brief history 2. Approaches to studying the visual 3.Visual methods and field research 4. Presenting visual research 5. Conclusion: images and social research Analyzing Qualitative Data Graham Gibbs Analyzing Qualitative Data outlines how to select the most appropriate tool for analysis and provides the reader with an awareness of the various challenges that are unique to interpreting the conceptual and subjective data generated in qualitative research. Graham Gibbs covers preparation of data, coding and categorizing, analyzing biographies and narratives, and discusses the use of computer assisted qualitative data analysis. 1. The Nature of Qualitative Analysis 2. Data preparation 3. Writing 4. Thematic coding and categorizing 5. Analysing biographies and narratives 6. Comparative Analysis 7. Analytic Quality and Ethics 8. Getting started with computer assisted qualitative data analysis 9. Searching and other analytic activities using software 10. Putting it all together Doing Conversation, Discourse and Document Analysis Tim Rapley Doing Conversation, Discourse and Document Analysis demonstrates how language-in-use can be researched, looking at a wide range of sources, including official documents, political debate, casual conversations, interviews and internet chat rooms. The issues that might be faced by those undertaking such research are tackled and practical solutions are explored. 1. Studying discourse 2. Generating an archive 3. Ethics and recording 'data' 4. The practicalities of recording 5. Transcribing audio and video materials 6. Exploring conversations 7. Exploring conversations about and with documents 8. Exploring conversations and discourse: some debates and dilemmas 9. Exploring documents 10. Studying discourse: some closing comments Managing Quality in Qualitative Research Uwe Flick The issue of quality in qualitative research is one that is often neglected. In Managing Quality in Qualitative Research attention is given to the fundamental question of how to define and assess the quality of research. Uwe Flick examines how to distinguish good research from bad research when it comes to teaching, planning, evaluating and publishing qualitative research. 1. How to manage, address and assess the quality of qualitative research 2. Standards, criteria, checklists and guidelines 3. Strategies of managing diversity 4. Concepts of Triangulation 5. Methodological Triangulation in Qualitative Research 6. Triangulation in Ethnography 7. Triangulation of Qualitative and Quantitative Research 8. How to Use Triangulation for managing quality - Practical Issues 9. Quality, Creativity, and Ethics: Different ways to ask the question 10.Managing Quality in qualitative research - a focus on process and transparency
CAQDAS is transforming our ways of collecting, handling and analyzing
qualitative data. Trying to apply traditional manual techniques within a software
environment is similar to mounting a dialing plate on a smartphone. I am
advocating that ...
Author: Susanne Friese
Are you struggling to get to grips with qualitative data analysis? Do you need help getting started using ATLAS.ti? Do you find software manuals difficult to relate to? Written by a leading expert on ATLAS.ti, this book will guide you step-by-step through using the software to support your research project. In this updated second edition, you will find clear, practical advice on preparing your data, setting up a new project in ATLAS.ti, developing a coding system, asking questions, finding answers and preparing your results. The new edition features: methodological as well as technical advice numerous practical exercises and examples screenshots showing you each stage of analysis in version 7 of ATLAS.ti increased coverage of transcription new sections on analysing video and multimedia data a companion website with online tutorials and data sets. Susanne Friese teaches qualitative methods at the University of Hanover and at various PhD schools, provides training and consultancy for ATLAS.ti at the intersection between developers and users.
The fourth edition of this best-selling text continues to offer immensely practical advice and technical expertise to aid researchers in making sense of their collected data.
Author: Juliet Corbin
A landmark volume in the study of qualitative methods, the book presents methods that enable researchers to analyze and interpret their data, and ultimately build theory from it. Highly accessible in their approach, authors Juliet Corbin and Anselm Strauss (late of the University of San Francisco and co-creator of grounded theory) provide a step-by-step guide to the research act, from the formation of the research question through several approaches to coding and analysis, to reporting on the research. Significantly revised and full of definitions and illustrative examples, this highly accessible book concludes with chapters that present criteria for evaluating a study, as well as responses to common questions posed by students of qualitative research.
`In plain language but with very thorough detail, this book guides the researcher who really wants to use the NVivo software (and use it now) into their project.
Author: Patricia Bazeley
`In plain language but with very thorough detail, this book guides the researcher who really wants to use the NVivo software (and use it now) into their project. The way is lit with real-project examples, adorned with tricks and tips, but it’s a clear path to a project' - Lyn Richards, Founder and Non-Executive Director, QSR International Doing Qualitative Data Analysis with NVivo is essential reading for anyone thinking of using their computer to help analyze qualitative data. With 15 years experience in computer-assisted analysis of qualitative and mixed-mode data, Patricia Bazeley is one of the leaders in the use and teaching of NVivo software. Through this very practical book, readers are guided on how best to make use of the powerful and flexible tools offered by the latest version of NVivo as they work through each stage of their research projects. Explanations draw on examples from her own and others' projects, and are supported by the methodological literature. Researchers have different requirements and come to their data from different perspectives. This book shows how NVivo software can accommodate and assist analysis across those different perspectives and methodological approaches. It is required reading for both students and experienced researchers alike.
Professor Saldaña briefly discusses the basic elements of longitudinal qualitative data, examines time and change in longitudinal qualitative studies, and then offers sixteen specific questions through which researchers may approach the ...
Author: Johnny Saldaña
Publisher: Rowman Altamira
Professor Saldaña briefly discusses the basic elements of longitudinal qualitative data, examines time and change in longitudinal qualitative studies, and then offers sixteen specific questions through which researchers may approach the analysis of longitudinal qualitative data.
Martha S Feldman's invaluable text outlines four key strategies for interpreting qualitative data: ethnomethodology, semiotics, dramaturgy and deconstruction.
Author: Martha S. Feldman
Martha S Feldman's invaluable text outlines four key strategies for interpreting qualitative data: ethnomethodology, semiotics, dramaturgy and deconstruction. The author examines the strengths and weaknesses of each strategy and identifies when to use them. To demonstrate, she applies the techniques of each method to a single data set, highlighting the differences in results.
Features of the New Edition: Takes account of the flood of qualitative work since the 1990s All chapters have been substantially rewritten with the aim of greater clarity A new chapter on Visual Images and a considerably expanded treatment ...
Author: David Silverman
This a much expanded and updated version of David Silverman’s best-selling introductory textbook for the beginning qualitative researcher. Features of the New Edition: Takes account of the flood of qualitative work since the 1990s All chapters have been substantially rewritten with the aim of greater clarity A new chapter on Visual Images and a considerably expanded treatment of discourse analysis are provided The number of student exercises has been considerably increased and are now present at the end of every chapter An even greater degree of student accessibility: Key Points and Recommended Readings appear at the end of each chapter and technical terms are highlighted and appear in a Glossary A more inter-disciplinary social science text which takes account of the growing interest in qualitative research outside sociology and anthropology from psychology to geography, information systems, health promotion, management and many other disciplines Expanded coverage – 50% longer than the First Edition Interpreting Qualitative Data – New Edition is a companion volume to Silverman's Doing Qualitative Research (Sage, 2000), which is a guide to the business of conducting a research project, together with its accompanying volume of key readings Qualitative Research: Theory Method & Practice, (Sage, 1997), which provides further more focused material that students need before contemplating their own qualitative research study.
Introduction Strictly speaking, there is no such thing as qualitative research.
There are only qualitative data. In many studies both quantitative and qualitative
data are used; so if we wanted to distinguish research according to data types,
Author: Renata Tesch
First Published in 1990. Routledge is an imprint of Taylor & Francis, an informa company.