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Qualitative Data Analysis with ATLAS.ti

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. Available with Perusall—an eBook that makes it easier to prepare for class Perusall is an award-winning eBook platform featuring social annotation tools that allow students and instructors to collaboratively mark up and discuss their SAGE textbook. Backed by research and supported by technological innovations developed at Harvard University, this process of learning through collaborative annotation keeps your students engaged and makes teaching easier and more effective. Learn more.

CAQDAS standsfor ComputerAided Qualitative Data Analysis Software.Itis a
somewhat lengthyacronym ascompared to 'QDA software', which canalsobe
found inthe literature.The latter stands for Qualitative Data Analysis software and
theapparent similarity may be responsible for some of the misunderstandings
andmisperceptions related to CAQDAS. 1 ATLAS.ti –likeanyother
CAQDASprogram –does not actuallyanalyze data;it is simply atool for
supportingthe process of qualitative ...

Qualitative Data Analysis with NVivo

This straightforward, jargon-free book provides an invaluable introduction to planning and conducting qualitative data analysis with NVivo. Written by leading authorities, with over 40 years combined experience in computer-assisted analysis of qualitative and mixed-mode data, the new edition of this best selling textbook is an ideal mix of practical instruction, methodology and real world examples. Practical, clear and focused the book effectively shows how NVivo software can accommodate and assist analysis across a wide range of research questions, data types, perspectives and methodologies. It sets out: - The power and flexibility of the NVivo software - How best to use NVivo at each stage in your research project - Examples from the authors' own research and the sample data that accompanies the software, supplemented with vignettes drawn from across the social sciences - Annotated screen shots - A website with links to data, sample projects, supplementary/updated instructions, and SAGE journal content This second edition contains new chapters on handling a literature review, visualizing data, working in mixed methods and social media datasets, and approaching NVivo as a team. An insightful step-by-step guide to the messy reality of doing computer-assisted analysis, this successful book is essential reading for anyone considering using NVivo software.

Preface to the second edition Since the publication of the first edition of this book,
the world of qualitative data analysis has changed yet again. The tools in NVivo
have adapted to the increasing popularity of mixed methods research, research
involving use of multimedia, and the greater involvement of teams in qualitative
projects. They have adapted, as well, to a world-wide increase in the digitization
of data and new modes of digital communication, for example, through social
media ...

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.

Data analysis is the central step in qualitative research. Whatever the data are, it
is their analysis that, in a decisive way, forms the outcomes of the research.
Sometimes, data collection is limited to recording and docu- menting naturally
occurring phenomena, for example by recording interactions. Then qualitative
research is concentrated on analysing such recordings. Given the centrality of the
analysis in qualitative research, in general, a kind of stocktaking of the various
approaches ...

Wordcraft: Applied Qualitative Data Analysis (QDA):

Tools for Public and Voluntary Social Services

Wordcraft: Applied Qualitative Data Analysis: Tools for Public and Voluntary Social Services is a practical text that helps students and social service personnel better evaluate agency programmes through the use of various qualitative documents which most agencies currently have readily available. In order to fully evaluate an agency programme, qualitative and quantitative methods should be considered. Agencies have a wealth of data in narrative and textual format which also must be evaluated in order to gain a complete picture of the agency's performance. These documents include case intake forms, exit summaries, social histories, case progress notes, and more. This book aims to provide a straight forward guide to performing meaningful qualitative analysis, in a step-by-step approach. The second half of the book contains actual case illustrations of the various methods with actual published articles from SAGE journals. Each case will contain margin notes, introductory remarks, and a complete discussion following the case.

Tools for Public and Voluntary Social Services Vincent E. Faherty. The
Ethnograph One of the earliest-appearing and widely used QDA comprehensive
packages, The Ethnograph was originally produced in 1985 by Qualis Research
Associates. As advertised, it allows the researcher to “import your text-based
qualitative data, typed in any word processor, straight into the program. The
Ethnograph helps you search and note segments of interest within your data,
mark them with code ...

Reworking Qualitative Data

What is qualitative secondary analysis? How can it be most effectively applied in social research? This timely and accomplished book offers readers a well informed, reliable guide to all aspects of qualitative secondary analysis. The book: · Defines secondary analysis · Distinguishes between quantitative and qualitative secondary analysis · Maps the main types of qualitative secondary analysis · Covers the key ethical and legal issues · Offers a practical guide to effective research · Sets the agenda for future developments in the subject Written by an experienced researcher and teacher with a background in sociology, the book is a comprehensive and invaluable introduction to this growing field of social research.

The history of secondary analysis may have curbed as well as stimulated its use,
since all writers to date have focused on the importance of secondary analysis of
survey data ... the emphasis on survey data neglects other kinds of data,
particularly field data, and hence limits the potential use of secondary analysis.
This research strategy can be applied to almost any qualitative data however
small its amount and whatever the degree of prior analysis. Survey data may
always remain ...

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 ...

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' ...

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.