Advertisement
| data analysis plan for qualitative research: Analyzing and Interpreting Qualitative Research Charles Vanover, Paul Mihas, Johnny Saldana, 2021-04-08 Drawing on the expertise of major names in the field, this text provides comprehensive coverage of the key methods for analyzing, interpreting, and writing up qualitative research in a single volume. |
| data analysis plan for qualitative research: Qualitative Data Analysis Ian Dey, 2003-09-02 Qualitative Data Analysis shows that learning how to analyse qualitative data by computer can be fun. Written in a stimulating style, with examples drawn mainly from every day life and contemporary humour, it should appeal to a wide audience. |
| data analysis plan for qualitative research: Introduction to Educational Research W. Newton Suter, 2012 W. Newton Suter argues that what is important in a changing education landscape is the ability to think clearly about research methods, reason through complex problems and evaluate published research. He explains how to evaluate data and establish its relevance. |
| data analysis plan for qualitative research: Community-Based Qualitative Research Laura Ruth Johnson, 2016-03-18 Community-Based Qualitative Research: Approaches for Education and the Social Sciences by Laura Ruth Johnson is a practical text that integrates theoretical perspectives with guidelines for designing and implementing community-based qualitative research projects. Coverage of participatory research designs and approaches is complemented by chapters on specific aspects of this research process, such as developing relationships and sharing findings to strengthen programs. Included are useful handouts and templates for applying to the reader’s own projects, and end-of-chapter questions for self-reflection and class discussion. Readers will find the book’s engaging case studies, interdisciplinary real-life examples, and insights from project participants as a helpful foundation for future work in the field. |
| data analysis plan for qualitative research: A Step-by-Step Guide to Qualitative Data Coding Philip Adu, 2019-04-05 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. |
| data analysis plan for qualitative research: Qualitative Data Analysis with NVivo Patricia Bazeley, 2007-04-12 `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. |
| data analysis plan for qualitative research: Analyzing Qualitative Data H. Russell Bernard, Amber Wutich, Gery W. Ryan, 2016-06-23 The fully updated Second Edition of Analyzing Qualitative Data: Systematic Approaches by H. Russell Bernard, Amber Wutich, and Gery W. Ryan presents systematic methods for analyzing qualitative data with clear and easy-to-understand steps. The first half is an overview of the basics, from choosing a topic to collecting data, and coding to finding themes, while the second half covers different methods of analysis, including grounded theory, content analysis, analytic induction, semantic network analysis, ethnographic decision modeling, and more. Real examples drawn from social science and health literature along with carefully crafted, hands-on exercises at the end of each chapter allow readers to master key techniques and apply them to their own disciplines. |
| data analysis plan for qualitative research: Using Software in Qualitative Research Ann Lewins, Christina Silver, 2007-05 Using Software in Qualitative Research is an essential introduction to the practice and principles of Computer Assisted Qualitative Data Analysis (CAQDAS), helping the reader choose the most appropriate package for their needs and to get the most out of the software once they are using it. This step-by-step book considers a wide range of tasks and processes, bringing them together to demystify qualitative software and encourage flexible and critical choices and uses of software in supporting analysis. The book can be read as a whole or by chapters, building on one another to provide a holistic sense of the analytic journey without advocating a particular sequential process. Accessible and comprehensive, Using Software in Qualitative Research provides a practical but analytically-grounded guide to thinking about and using software and will be an essential companion for any qualitative researcher. |
| data analysis plan for qualitative research: Applied Thematic Analysis Greg Guest, Kathleen M. MacQueen, Emily E. Namey, 2012 This book provides step-by-step instructions on how to analyze text generated from in-depth interviews and focus groups, relating predominantly to applied qualitative studies. The book covers all aspects of the qualitative data analysis process, employing a phenomenological approach which has a primary aim of describing the experiences and perceptions of research participants. Similar to Grounded Theory, the authors' approach is inductive, content-driven, and searches for themes within textual data. |
| data analysis plan for qualitative research: Using Microsoft Excel for Social Research Charlotte Brookfield, 2021-01-20 Full of practical advice and real-world examples, this step-by-step guide offers you an accessible introduction to doing quantitative social research using Microsoft Excel. |
| data analysis plan for qualitative research: Doing Rapid Qualitative Research Cecilia Vindrola-Padros, 2021-08-25 If you are working in a time-sensitive context, need to deliver research findings so they can be used to inform decisions, or are finding it difficult to access research funding for long-term qualitative research, this book will help you. Introducing ‘rapid qualitative research’, it demonstrates how you can conduct high quality qualitative research within time, access and resource constraints. The book uses real world examples to illustrate the benefits and challenges of using rapid qualitative research designs. Focusing on the when, why and how, it explains the difference between cutting corners and making quick, well-informed research choices that support rigorous, credible research. Key features of the book include discussion questions and exercises for you to reflect on and apply your learning, as well as two case study chapters of real-world research so you can see rapid research in action. Written by the world’s leading expert on this subject, this book contains the theoretical and practical nuts and bolts you need to reframe existing qualitative methods, speed up your research, and make tangible contributions to your field. It is the perfect companion for any researcher, final-year undergraduate or postgraduate student looking to conduct rapid, but rigorous, qualitative research. |
| data analysis plan for qualitative research: Nursing Research Using Data Analysis Mary De Chesnay, 2014-12-05 This is a concise, step-by-step guide to conducting qualitative nursing research using various forms of data analysis. It is part of a unique series of books devoted to seven different qualitative designs and methods in nursing, written for both novice researchers and specialists seeking to develop or expand their competency. This practical resource encompasses such methodologies as content analysis, a means of organizing and interpreting data to elicit themes and concepts; discourse analysis, used to analyze language to understand social or historical context; narrative analysis, in which the researcher seeks to understand human experience through participant stories; and focus groups and case studies, used to understand the consensus of a group or the experience of an individual and his or her reaction to a difficult situation such as disease or trauma. Written by a noted qualitative research scholar and contributing experts, the book describes the philosophical basis for conducting research using data analysis and delivers an in-depth plan for applying its methodologies to a particular study, including appropriate methods, ethical considerations, and potential challenges. It presents practical strategies for solving problems related to the conduct of research using the various forms of data analysis and presents a rich array of case examples from published nursing research. These include author analyses to support readers in decision making regarding their own projects. The book embraces such varied topics as data security in qualitative research, the image of nursing in science fiction literature, the trajectory of research in several nursing studies throughout Africa, and many others. Focused on the needs of both novice researchers and specialists, it will be of value to health institution research divisions, in-service educators and students, and graduate nursing educators and students. Key Features: Explains how to conduct nursing research using content analysis, discourse analysis, narrative analysis, and focus groups and case studies Presents state-of-the-art designs and protocols Focuses on solving practical problems related to the conduct of research Features rich nursing exemplars in a variety of health/mental health clinical settings in the United States and internationally |
| data analysis plan for qualitative research: Qualitative Research Methods Monique Hennink, Inge Hutter, Ajay Bailey, 2010-11-30 Lecturers, click here to request an e-inspection copy of this text Qualitative Research Methods is based on the authors′ highly successful multidisciplinary qualitative methods workshops, which have been conducted for over a decade. In this book the authors propose a ′qualitative research cycle′ that leads students through the selection of appropriate methods, the collection of data and the transformation of findings into a finished project. It provides a clear explanation of the nature of qualitative research and its key concepts. Topics covered include: o formulating qualitative research questions o ethical issues o in-depth interviews o focus group discussions o observation o coding o data analysis o writing up qualitative research This text is ideal for any students taking a qualitative methods course or producing a qualitative research project at undergraduate or graduate level. It is illustrated throughout with case studies and field examples from a range of international contexts. The practical techniques are also accompanied by the author′s own research tools including interview guides, real coded data and comprehensive research checklists. |
| data analysis plan for qualitative research: Research Basics James V. Spickard, 2016-09-15 Research Basics: Design to Data Analysis in Six Steps offers a fresh and creative approach to the research process based on author James V. Spickard’s decades of teaching experience. Using an intuitive six-step model, readers learn how to craft a research question and then identify a logical process for answering it. Conversational writing and multi-disciplinary examples illuminate the model’s simplicity and power, effectively connecting the “hows” and “whys” behind social science research. Students using this book will learn how to turn their research questions into results. |
| data analysis plan for qualitative research: Qualitative Analysis for Planning & Policy John Gaber, Sharon Gaber, 2018-01-12 This book explains how to use and adapt these techniques and how to integrate these methods with more traditional qualitative research. Chapters offer step-by-step guidance to setting up various kinds of qualitative research projects, collecting data, organizing data, and analyzing data. Case studies show how a mix of qualitative and quantitative research can help planners build consensus and tackle large, complicated projects. |
| data analysis plan for qualitative research: Qualitative Research from Start to Finish, First Edition Robert K. Yin, 2011-09-26 This lively, practical text presents a fresh and comprehensive approach to doing qualitative research. The book offers a unique balance of theory and clear-cut choices for customizing every phase of a qualitative study. A scholarly mix of classic and contemporary studies from multiple disciplines provides compelling, field-based examples of the full range of qualitative approaches. Readers learn about adaptive ways of designing studies, collecting data, analyzing data, and reporting findings. Key aspects of the researcher's craft are addressed, such as fieldwork options, the five phases of data analysis (with and without using computer-based software), and how to incorporate the researcher's “declarative” and “reflective” selves into a final report. Ideal for graduate-level courses, the text includes:* Discussions of ethnography, grounded theory, phenomenology, feminist research, and other approaches.* Instructions for creating a study bank to get a new study started.* End-of-chapter exercises and a semester-long, field-based project.* Quick study boxes, research vignettes, sample studies, and a glossary.* Previews for sections within chapters, and chapter recaps.* Discussion of the place of qualitative research among other social science methods, including mixed methods research. |
| data analysis plan for qualitative research: Analyzing Qualitative Data with MAXQDA Udo Kuckartz, Stefan Rädiker, 2019-05-31 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. |
| data analysis plan for qualitative research: Analysis in Qualitative Research Hennie Boeije, 2009-11-04 Written for anyone beginning a research project, this introductory book takes you through the process of analysing your data from start to finish. The author sets out an easy-to-use model for coding data in order to break it down into parts, and then to reassemble it to create a meaningful picture of the phenomenon under study. Full of useful advice, the book guides the reader through the last difficult integrating phase of qualitative analysis including diagramming, memoing, thinking aloud, and using one's feelings, and how to incorporate the use of software where appropriate. Ideal for third year undergraduate students, master students, postgraduates and anybody beginning a research project, the book includes examples covering a wide range of subjects - making the book useful for students across the social science disciplines. Hennie Boeije is currently an Associate Professor with the Department of Methodology and Statistics of the Faculty of Social and Behavioural Sciences at Utrecht University, The Netherlands. |
| data analysis plan for qualitative research: Social Research Methods Nicholas Walliman, 2006-03-10 SAGE Course Companions are an exciting new series from SAGE offering students an insider's guide into how to make the most of their undergraduate courses and extend their understanding of key concepts covered in their course. Social Research Methods provides student readers with essential help with their research project, with revising for their course exams, preparing and writing course assessment materials, and enhancing and progressing their knowledge and thinking skills in line with course requirements on Research Methods courses. This Course Companion is designed to augment, rather than replace, existing textbooks for the course, and will provide: Helpful summaries of the course curriculum to aid essay and project planning Key summaries of the approach taken by the main Methods textbooks Guidance on the essential study skills required Help with developing critical thinking Route-maps to aid the development of wider learning above and beyond the textbook Pointers to success in course exams and written assessment exercises A tutor's-eye view of what course examiners are looking for An insider's view of what key course concepts are really all about SAGE Course Companions are much more than revision guides for undergraduate; they are an essential tool to taking your course learning and understanding to new levels and in new directions that are the key to success in undergraduate courses. |
| data analysis plan for qualitative research: Collecting Qualitative Data Greg Guest, Emily E. Namey, Marilyn L. Mitchell, 2013 Provides a very practical and step-by-step guide to collecting and managing qualitative data, |
| data analysis plan for qualitative research: Modes of Thinking for Qualitative Data Analysis Melissa Freeman, 2016-09-20 Modes of Thinking for Qualitative Data Analysis argues for engagement with the conceptual underpinnings of five prominent analytical strategies used by qualitative researchers: Categorical Thinking, Narrative Thinking, Dialectical Thinking, Poetical Thinking, and Diagrammatical Thinking. By presenting such disparate modes of research in the space of a single text, Freeman not only draws attention to the distinct methodological and theoretical contributions of each, she also establishes a platform for choosing among particular research strategies by virtue of their strengths and limitations. Experienced qualitative researchers, novices, and graduate students from many disciplines will gain new insight from the theory-practice relationship of analysis advanced in this text. |
| data analysis plan for qualitative research: Qualitative Research Robert E. Stake, 2010-03-03 This book provides invaluable guidance for thinking through and planning a qualitative study. Rather than offering recipes for specific techniques, master storyteller Robert Stake stimulates readers to discover how things work in organizations, programs, communities, and other systems. Topics range from identifying a research question to selecting methods, gathering data, interpreting and analyzing the results, and producing a well-thought-through written report. In-depth examples from actual studies emphasize the role of the researcher as instrument and interpreter, while boxed vignettes and learning projects encourage self-reflection and critical thinking. Other useful pedagogical features include quick-reference tables and charts, sample project management forms, and an end-of-book glossary. After reading this book, doctoral students and novice qualitative researchers will be able to plan a study from beginning to end. |
| data analysis plan for qualitative research: Longitudinal Qualitative Research Johnny Saldaña, 2003 Johnny Saldana outlines the basic elements of longitudinal qualitative data, focusing on micro-levels of change observed within individual cases and groups of participants. He draws upon his primary experience in theater education to examine time and change in longitudinal qualitative studies; contending that playwrights and qualitative researchers write for the same purpose: to create a unique, insightful, and engaging text about the human condition. Offering sixteen specific questions through which researchers may approach the analysis of longitudinal qualitative data, Professor Saldana presents a text intended as a primer for fellow newcomers to long term inquiry, based on traditional social science methods from traditional qualitative and quantitative paradigms, but enriched by an artist-educator's unconventional perspective. |
| data analysis plan for qualitative research: Qualitative Research for the Social Sciences Marilyn Lichtman, 2013-09-11 Focusing on the integral role of the researcher, Qualitative Research for the Social Sciences uses a conversational writing style that draws readers into the excitement of the research process. Lichtman offers a balanced and nuanced approach, covering the full range of qualitative methodologies and viewpoints about the field, including coverage of social media as a tool to facilitate research or as a venue for study. After presenting theoretical concepts and a historical overview, Lichtman guides readers, step by step, through the research process, addressing issues of analyzing data, presenting completed research, and evaluating research. Real-world examples from across the social sciences provide both practical and theoretical information, helping readers understand abstract ideas and apply them to their own research. |
| data analysis plan for qualitative research: Qualitative Data Analysis Patricia Bazeley, 2013-02-28 Written by an experienced researcher in the field of qualitative methods, this dynamic new book provides a definitive introduction to analysing qualitative data. It is a clear, accessible and practical guide to each stage of the process, including: - Designing and managing qualitative data for analysis - Working with data through interpretive, comparative, pattern and relational analyses - Developing explanatory theory and coherent conclusions, based on qualitative data. The book pairs theoretical discussion with practical advice using a host of examples from diverse projects across the social sciences. It describes data analysis strategies in actionable steps and helpfully links to the use of computer software where relevant. This is an exciting new addition to the literature on qualitative data analysis and a must-read for anyone who has collected, or is preparing to collect, their own data. |
| data analysis plan for qualitative research: The Coding Manual for Qualitative Researchers Johnny Saldana, 2009-02-19 The Coding Manual for Qualitative Researchers is unique in providing, in one volume, an in-depth guide to each of the multiple approaches available for coding qualitative data. In total, 29 different approaches to coding are covered, ranging in complexity from beginner to advanced level and covering the full range of types of qualitative data from interview transcripts to field notes. For each approach profiled, Johnny Saldaña discusses the method’s origins in the professional literature, a description of the method, recommendations for practical applications, and a clearly illustrated example. |
| data analysis plan for qualitative research: Qualitative Data Analysis with ATLAS.ti Susanne Friese, 2014-01-30 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. |
| data analysis plan for qualitative research: Qualitative Research Methods Sarah J. Tracy, 2012-11-05 Qualitative Research Methods is a comprehensive, all-inclusive resource for the theory and practice of qualitative/ethnographic research methodology. Serves as a “how-to” guide for qualitative/ethnographic research, detailing how to design a project, conduct interviews and focus groups, interpret and analyze data, and represent it in a compelling manner Demonstrates how qualitative data can be systematically utilized to address pressing personal, organizational, and social problems Written in an engaging style, with in-depth examples from the author’s own practice Comprehensive companion website includes sample syllabi, lesson plans, a list of helpful website links, test bank and exam review materials, and exercises and worksheets, available upon publication at www.wiley.com/go/tracy |
| data analysis plan for qualitative research: How to Report Statistics in Medicine Thomas Allen Lang, Michelle Secic, 2006 This volume presents a comprehensive and comprehensible set of guidelines for reporting the statistical analyses and research designs and activities commonly used in biomedical research. |
| data analysis plan for qualitative research: Essential Guide to Qualitative Methods in Organizational Research Catherine Cassell, Gillian Symon, 2004-05-26 This text covers an array of methods needed for undertaking qualitative data collection & analysis. It includes 30 chapters, each focusing on a specific technique including chapters on traditional methods, analysis techniques, intervention methods & the latest developments in research methods. |
| data analysis plan for qualitative research: InterViews Steinar Kvale, Svend Brinkmann, 2009 The First Edition of InterViews has provided students and professionals in a wide variety of disciplines with the “whys” and “hows” of research interviewing, preparing students for learning interviewing by doing interviews and by studying examples of best practice. The thoroughly revised Second Edition retains its original seven-stage structure, continuing to focus on the practical, epistemological, and ethical issues involved with interviewing. Authors Steinar Kvale and Svend Brinkmann also include coverage of newer developments in qualitative interviewing, discussion of interviewing as a craft, and a new chapter on linguistic modes of interview analysis. Practical and conceptual assignments, as well as new “tool boxes,” provide students with the means to dig deeper into the material presented and achieve a more meaningful level of understanding. New to This Edition · Includes new developments in qualitative interviewing: New materials cover narrative, discursive, and conversational analyses. · Presents interviewing as a social practice: Knowledge produced by interviewing is discussed as linguistic, conversational, narrative, relational, situated, and pragmatic. · Addresses a variety of interviews forms: In addition to harmonious, empathetic interviews, the authors also cover confrontational interviews. Intended Audience This text is ideal for both novice and experienced interview researchers as well as graduate students taking courses in qualitative and research methods in the social sciences and health sciences, particularly departments of Education, Nursing, Sociology, Psychology, and Communication. Praise for the previous edition: “I think this is one of the most in-depth treatments of the interview process that I have seen. The frank and realistic approach that the authors take to this topic is rather unique and will be very reassuring to researchers who are undertaking an interview study for the first time.” —Lisa M. Diamond, University of Utah |
| data analysis plan for qualitative research: The SAGE Encyclopedia of Communication Research Methods Mike Allen, 2017-04-11 Communication research is evolving and changing in a world of online journals, open-access, and new ways of obtaining data and conducting experiments via the Internet. Although there are generic encyclopedias describing basic social science research methodologies in general, until now there has been no comprehensive A-to-Z reference work exploring methods specific to communication and media studies. Our entries, authored by key figures in the field, focus on special considerations when applied specifically to communication research, accompanied by engaging examples from the literature of communication, journalism, and media studies. Entries cover every step of the research process, from the creative development of research topics and questions to literature reviews, selection of best methods (whether quantitative, qualitative, or mixed) for analyzing research results and publishing research findings, whether in traditional media or via new media outlets. In addition to expected entries covering the basics of theories and methods traditionally used in communication research, other entries discuss important trends influencing the future of that research, including contemporary practical issues students will face in communication professions, the influences of globalization on research, use of new recording technologies in fieldwork, and the challenges and opportunities related to studying online multi-media environments. Email, texting, cellphone video, and blogging are shown not only as topics of research but also as means of collecting and analyzing data. Still other entries delve into considerations of accountability, copyright, confidentiality, data ownership and security, privacy, and other aspects of conducting an ethical research program. Features: 652 signed entries are contained in an authoritative work spanning four volumes available in choice of electronic or print formats. Although organized A-to-Z, front matter includes a Reader’s Guide grouping entries thematically to help students interested in a specific aspect of communication research to more easily locate directly related entries. Back matter includes a Chronology of the development of the field of communication research; a Resource Guide to classic books, journals, and associations; a Glossary introducing the terminology of the field; and a detailed Index. Entries conclude with References/Further Readings and Cross-References to related entries to guide students further in their research journeys. The Index, Reader’s Guide themes, and Cross-References combine to provide robust search-and-browse in the e-version. |
| data analysis plan for qualitative research: Applied Qualitative Research Design Margaret R. Roller, Paul J. Lavrakas, 2015-02-23 This unique text provides a comprehensive framework for creating, managing, and interpreting qualitative research studies that yield valid and useful information. Examples of studies from a wide range of disciplines illustrate the strengths, limitations, and applications of the primary qualitative methods: in-depth interviews, focus group discussions, ethnography, content analysis, and case study and narrative research. Following a consistent format, chapters show students and researchers how to implement each method within a paradigm-neutral and flexible Total Quality Framework (TQF) comprising four interrelated components: Credibility, Analyzability, Transparency, and Usefulness. Unlike other texts that relegate quality issues to one or two chapters, detailed discussions of such crucial topics as construct validity, interresearcher reliability, researcher bias, and verification strategies are featured throughout. The book also addresses applications of the TQF to the writing, review, and evaluation of qualitative research proposals and manuscripts. Pedagogical Features *Summary tables that highlight important content, such as the application of a method to vulnerable or hard-to-reach populations. *Case studies that illustrate TQF standards in practice for each method. *Guidelines for effective documentation (via thick descriptions) of each type of study. *End-of-chapter discussion topics, exercises, and suggested further reading and Web resources. *Chapters open with a preview and close with a bulleted summary of key ideas. *Extensive glossary. 2021 Winner--American Association for Public Opinion Research (AAPOR) Book Award |
| data analysis plan for qualitative research: Selecting the Right Analyses for Your Data W. Paul Vogt, Dianne C. Gardner, Elaine R. Vogt, Lynne M. Haeffele, 2014-05-19 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-- |
| data analysis plan for qualitative research: The SAGE Handbook of Qualitative Data Analysis Uwe Flick, 2013-12-18 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 plan for qualitative research: Graduate Research Methods in Social Work Matthew P. DeCarlo, Cory R. Cummings, Kate Agnelli, 2020-07-10 |
| data analysis plan for qualitative research: Handbook of Data Analysis Melissa A Hardy, Alan Bryman, 2009-06-17 ′This book provides an excellent reference guide to basic theoretical arguments, practical quantitative techniques and the methodologies that the majority of social science researchers are likely to require for postgraduate study and beyond′ - Environment and Planning ′The book provides researchers with guidance in, and examples of, both quantitative and qualitative modes of analysis, written by leading practitioners in the field. The editors give a persuasive account of the commonalities of purpose that exist across both modes, as well as demonstrating a keen awareness of the different things that each offers the practising researcher′ - Clive Seale, Brunel University ′With the appearance of this handbook, data analysts no longer have to consult dozens of disparate publications to carry out their work. The essential tools for an intelligent telling of the data story are offered here, in thirty chapters written by recognized experts. ′ - Michael Lewis-Beck, F Wendell Miller Distinguished Professor of Political Science, University of Iowa ′This is an excellent guide to current issues in the analysis of social science data. I recommend it to anyone who is looking for authoritative introductions to the state of the art. Each chapter offers a comprehensive review and an extensive bibliography and will be invaluable to researchers wanting to update themselves about modern developments′ - Professor Nigel Gilbert, Pro Vice-Chancellor and Professor of Sociology, University of Surrey This is a book that will rapidly be recognized as the bible for social researchers. It provides a first-class, reliable guide to the basic issues in data analysis, such as the construction of variables, the characterization of distributions and the notions of inference. Scholars and students can turn to it for teaching and applied needs with confidence. The book also seeks to enhance debate in the field by tackling more advanced topics such as models of change, causality, panel models and network analysis. Specialists will find much food for thought in these chapters. A distinctive feature of the book is the breadth of coverage. No other book provides a better one-stop survey of the field of data analysis. In 30 specially commissioned chapters the editors aim to encourage readers to develop an appreciation of the range of analytic options available, so they can choose a research problem and then develop a suitable approach to data analysis. |
| data analysis plan for qualitative research: Qualitative Secondary Analysis Kahryn Hughes, Anna Tarrant, 2019-12-02 A comprehensive guide to carrying out Qualitative Secondary Analysis (QSA) that brings together expert advice and professional insight from leading researchers who have developed innovative theories and methods of QSA. Exploring crucial components of research and analysis—such as where to find resources, how to search within a resource, and working with both paper archives and non-textual data—each chapter offers insightful case studies, links to further reading and applied helpful hints and tips to help effectively apply these innovations to further the reader’s own research. A must read for Social Science students, early career researchers and researchers new to the field of QSA, this text will help readers through every aspect of a research process using QSA, from application to implications. |
| data analysis plan for qualitative research: Doing Qualitative Research Online Janet E. Salmons, 2015-12-26 Qualitative researchers can now connect with participants online to collect deep, rich data and generate new understandings of contemporary research phenomena. Doing Qualitative Research Online gives students and researchers the practical and scholarly foundations needed to gain digital research literacies essential for designing and conducting studies based on qualitative data collected online. The book will take a broad view of methodologies, methods and ethics, covering: Ethical issues in research design and ethical relationships with participants Designing online qualitative studies Collecting qualitative data online through interviews, observations, participatory and arts-based research and a wide range of posts and documents. Analyzing data and reporting findings Written by a scholar-practitioner in e-learning and online academia with 15 years’ experience, this book will help all those new to online research by providing a range of examples and illustrations from published research. The text and accompanying materials will offer discussion and assignment ideas for ease of adoption. |
| data analysis plan for qualitative research: Qualitative Data Analysis Carol Grbich, 2012-11-19 In this fully updated and expanded second edition, Carol Grbich provides a guide through current issues in the analysis of qualitative data. Packed with detailed examples, a glossary, further reading lists and a section on writing up, this book is exactly what you need to get you started in qualitative research. The new edition covers analytical approaches including: - grounded theory - classical, existential and hermeneutic phenomenology - feminist research including memory work - classical, auto- and cyberethnography as well as ethnodrama - content, narrative, conversation and discourse analysis - visual interpretation - semiotic, structural and poststructural analyses A one-stop-shop for students new to qualitative data analysis! |
Qualitative Data Analysis: Step-by-Step Guide (Manual vs ...
Feb 19, 2025 · Qualitative data analysis is the process of gathering, organizing, and interpreting non-numerical data to uncover patterns, themes, and insights. It helps …
Qualitative Data Analysis: What is it, Methods + Examples
Explore qualitative data analysis with diverse methods and real-world examples. Uncover the nuances of human experiences with this guide.
How to Create a Data Analysis Plan: A Detailed Guide
Aug 12, 2020 · In this blog article, we will explore how to create a data analysis plan: the content and structure. This data analysis plan serves as a roadmap to how data …
Creating a Data Analysis Plan: What to Consider When Choosing ...
The first step in a data analysis plan is to describe the data collected in the study. This can be done using figures to give a visual presentation of the data and statistics to …
Planning Qualitative Research: Design and Decision Making for ...
Dec 9, 2020 · Therefore, the purpose of this paper is to provide a concise explanation of four common qualitative approaches, case study, ethnography, narrative, and …
Qualitative Data Analysis: Step-by-Step Guide (Manual vs ...
Feb 19, 2025 · Qualitative data analysis is the process of gathering, organizing, and interpreting non-numerical data to uncover patterns, themes, and insights. It helps businesses and …
Qualitative Data Analysis: What is it, Methods + Examples
Explore qualitative data analysis with diverse methods and real-world examples. Uncover the nuances of human experiences with this guide.
How to Create a Data Analysis Plan: A Detailed Guide
Aug 12, 2020 · In this blog article, we will explore how to create a data analysis plan: the content and structure. This data analysis plan serves as a roadmap to how data collected will be …
Creating a Data Analysis Plan: What to Consider When Choosing ...
The first step in a data analysis plan is to describe the data collected in the study. This can be done using figures to give a visual presentation of the data and statistics to generate numeric …
Planning Qualitative Research: Design and Decision Making for ...
Dec 9, 2020 · Therefore, the purpose of this paper is to provide a concise explanation of four common qualitative approaches, case study, ethnography, narrative, and phenomenology, …
The SAGE Handbook of Qualitative Data Analysis
Qualitative data analysis is the classification and interpretation of linguistic (or visual) material to make statements about implicit and explicit dimensions and structures of meaning-making in …
Qualitative Data Analysis with Step-by-Step Guide
Jun 14, 2024 · Qualitative data analysis provides depth, context, and understanding to research endeavors, enabling researchers to uncover rich insights and explore complex phenomena …
