Qualitative Comparative Analysis in Mixed Methods Research and Evaluation provides a user-friendly introduction for using Qualitative Comparative Analysis (QCA) as part of a mixed methods approach to research and evaluation. Offering practical, in-depth, and applied guidance for this unique analytic technique that is not provided in any current mixed methods textbook, the chapters of this guide skillfully build upon one another to walk researchers through the steps of QCA in logical order. To enhance and further reinforce learning, authors Leila C. Kahwati and Heather L. Kane provide supportive learning objectives, summaries, and exercises, as well as author-created datasets for use in R via the companion site. Qualitative Comparative Analysis in Mixed Methods Research and Evaluation is Volume 6 in SAGE’s Mixed Methods Research Series.
Provides the essential information that health care researchers and health professionals need to understand the basics of qualitative research Now in its fourth edition, this concise, accessible, and authoritative introduction to conducting and interpreting qualitative research in the health care field has been fully revised and updated. Continuing to introduce the core qualitative methods for data collection and analysis, this new edition also features chapters covering newer methods which are becoming more widely used in the health research field; examining the role of theory, the analysis of virtual and digital data, and advances in participatory approaches to research. Qualitative Research in Health Care, 4th Edition looks at the interface between qualitative and quantitative research in primary mixed method studies, case study research, and secondary analysis and evidence synthesis. The book further offers chapters covering: different research designs, ethical issues in qualitative research; interview, focus group and observational methods; and documentary and conversation analysis. A succinct, and practical guide quickly conveying the essentials of qualitative research Updated with chapters on new and increasingly used methods of data collection including digital and web research Features new examples and up-to-date references and further reading The fourth edition of Qualitative Research in Health Care is relevant to health care professionals, researchers and students in health and related disciplines.
The substantially updated and revised Fifth Edition of The SAGE Handbook of Qualitative Research by editors Norman K. Denzin and Yvonna S. Lincoln presents the state-of-the-art theory and practice of qualitative inquiry. Representing top scholars from around the world, the editors and contributors continue the tradition of synthesizing existing literature, defining the present, and shaping the future of qualitative research. The Fifth Edition contains 19 new chapters, with 16 revised—making it virtually a new volume—while retaining six classic chapters from previous editions. New contributors to this edition include Jamel K. Donnor and Gloria Ladson-Billings; Margaret Kovach; Paula Saukko; Bryant Keith Alexander; Thomas A. Schwandt and Emily F. Gates; Johnny Saldaña; Uwe Flick; Mirka Koro-Ljungberg, Maggie MacLure, and Jasmine Ulmer; Maria Elena Torre, Brett G. Stoudt, Einat Manoff, and Michelle Fine; Jack Bratich; Svend Brinkmann; Eric Margolis and Renu Zunjarwad; Annette N. Markham; Alecia Y. Jackson and Lisa A. Mazzei; Jonathan Wyatt, Ken Gale, Susanne Gannon, and Bronwyn Davies; Janice Morse; Peter Dahler-Larsen; Mark Spooner; and David A. Westbrook.
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.
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
Qualitative content analysis is a powerful method for analyzing large amounts of qualitative data collected through interviews or focus groups. It is frequently employed by students, but introductory textbooks on content analysis have largely focused on the quantitative version of the method. In one of the first to focus on qualitative content analysis, Margrit Schreier takes students step-by step through: - creating a coding frame - segmenting the material - trying out the coding frame - evaluating the trial coding - carrying out the main coding - what comes after qualitative content analysis - making use of software when conducting qualitative content analysis. Each part of the process is described in detail and research examples are provided to illustrate each step. Frequently asked questions are answered, the most important points are summarized, and end of chapter questions provide an opportunity to revise these points. After reading the book, students are fully equiped to conduct their own qualitative content analysis. Designed for upper level undergraduate, MA, PhD students and researchers across the social sciences, this is essential reading for all those who want to use qualitative content analysis.
"The authors take a ′user friendly′ systematic approach to qualitative research, something that has long been missing in the field. I consider this to be a groundbreaking work, one that will hit home with students and faculty alike." —Justin M. Laird, SUNY Brockport "This book does an excellent job of integrating design, methods, and analysis. . . . The real beauty of the book is that it overturns many of the age-old assumptions about how ′good′ research should be done. . . . The authors′ pleasant and refreshing style, coupled with subtle irreverence for outmoded or constraining paradigms of inquiry, makes for highly enjoyable reading." —Roger Rennekamp, University of Kentucky Interactive Qualitative Analysis: A Systems Method for Qualitative Research aims to help students unscramble the mysteries of qualitative data collection, coding, and analysis by showing how to use a systematic, qualitative technique: interactive qualitative analysis. The authors synthesize ideas from grounded theory, path and factor analysis, quality management theory, Foucauldian concepts of power and knowledge, and systems theory. A dialectical revision of Guba and Lincoln′s theory of rigor is offered which, combined with systems theory, offers new insights into the meaning of reliability and validity in qualitative research. Unlike many theoretical works, Interactive Qualitative Analysis develops the theory into a complete and transparent set of protocols for research design, observation, analysis, and interpretation. The construction, interpretation, and comparison of recursive systems of meaning, or mindmaps, is articulated in detail. The book is organized so that those not interested in theory can skip to the applied chapters. Case studies illustrate each stage of the research process with an emphasis on interpretation. The combination of theory and practice perfectly suits the book for advanced qualitative research courses across the social sciences, especially those that address epistemology. Professional researchers and evaluators will also find this an invaluable guide to qualitative analysis. Key Features * Advice boxes alert readers to potential pitfalls in qualitative research, and offer the appropriate steps to take in order to avoid such issues * Sidebars provide clear and concise snapshots of the theoretical basis for research decisions * Interactive CD contains sample data and exercises to provide students with effective practice as well as reinforce and clarify principles explained in the book * Provides a "road map" to using interactive qualitative inquiry in dissertation writing
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.
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.
