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Qualitative and Mixed Methods Data Analysis Using Dedoose®: A Practical Approach for Research Across the Social Sciences provides both new and experienced researchers with a guided introduction to dealing with the methodological complexity of mixed methods and qualitative inquiry using Dedoose® software. The authors use their depth of experience designing and updating Dedoose® as well as their published research to give the reader practical strategies for using Dedoose® from a wide range of research studies. Case study contributions by outside researchers provide readers with rich examples of how to use Dedoose® in practical, applied social science and health settings.
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.
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.
Methodological and theoretical issues involved in using computers in qualitative research are examined in this guide. Strategies for computer-assisted qualitative analysis include the discussion of networks of categories; the means of evaluation; and ways of combining analysis techniques.
How can we capture the words, gestures and conduct of study participants? How do we transcribe what happens in social interactions in analytically useful ways? How could systematic and detailed transcription practices benefit research? This book demonstrates how best to represent talk and interaction in a manageable and academically credible way that enables analysis. It describes and assesses key methodological and epistemological debates about the status of transcription research while also setting out best practice for handling different types of data and forms of social interaction. Featuring transcribing basics as well as important recent developments, this book guides you through: Time and sequencing Speech delivery and patterns Non-vocal conduct Emotive displays like laughter, tears, or pain Talk in non-English languages Helpful technological resources As the first book-length exposition of the Jeffersonian transcription conventions, this well-crafted balance of theory and practice is a must-have resource for any social scientist looking to produce high quality transcripts.
The Routledge Reviewer’s Guide to Mixed Methods Analysis is a groundbreaking edited book – the first devoted solely to mixed methods research analyses, or mixed analyses. Each of the 30 seminal chapters, authored by internationally renowned scholars, provides a simple and practical introduction to a method of mixed analysis. Each chapter demonstrates "how to conduct the analysis" in easy-to-understand language. Many of the chapters present new topics that have never been written before, and all chapters offer cutting-edge approaches to analysis. The book contains the following four sections: Part I Quantitative Approaches to Qualitative Data (e.g., factor analysis of text, multidimensional scaling of qualitative data); Part II Qualitative Approaches to Quantitative Data (e.g., qualitizing data, mixed methodological discourse analysis); Part III "Inherently" Mixed Analysis Approaches (e.g., qualitative comparative analysis, mixed methods social network analysis, social media analytics as mixed analysis, GIS as mixed analysis); and Part IV Use of Software for Mixed Data Analysis (e.g., QDA Miner, WordStat, MAXQDA, NVivo, SPSS). The audience for this book includes (a) researchers, evaluators, and practitioners who conduct a variety of research projects and who are interested in using innovative analyses that will allow them to extract more from their data; (b) academics, including faculty who would use this book in their scholarship, as well as in their graduate-level courses, and graduate students who need access to a comprehensive set of mixed analysis tools for their dissertations/theses and other research assignments and projects; and (c) computer-assisted data analysis software developers who are seeking additional mixed analyses to include within their software programs. Chapter 24 of this book is freely available as a downloadable Open Access PDF at http://www.taylorfrancis.com under a Creative Commons Attribution-Non Commercial-No Derivatives (CC-BY-NC-ND) 4.0 license.
The Handbook of Mixed Methods in Social & Behavioral Research contains a gold mine of articles by leading scholars on what has come to be known as the third methodological movement in social research. Aimed at surveying the differing viewpoints and disciplinary approaches of mixed methods, this breakthrough book examines mixed methods from the research enterprise to paradigmatic issues to application. The book also discusses the strengths and weaknesses of mixed methods designs, and provides an array of specific examples in a variety of disciplines, from psychology to nursing. The book closes with a brief section on how to teach and perform collaborative research using a mixed methods research design. Written so that it can be used either as a pedagogical tool or as a reference for researchers, the book is rich in examples and includes a glossary, easy-to-follow diagrams, and tables to help readers become more familiar with the language and controversies in this evolving area.
During the 1990s, growing demands to end chronic welfare dependency culminated in the 1996 federal "welfare-to-work" reforms. But regardless of welfare reform, the United States has always been home to a large population of working poor—people who remain poor even when they work and do not receive welfare. In a concentrated effort to address the problems of the working poor, a coalition of community activists and business leaders in Milwaukee, Wisconsin, launched New Hope, an experimental program that boosted employment among the city's poor while reducing poverty and improving children's lives. In Higher Ground, Greg Duncan, Aletha Huston, and Thomas Weisner provide a compelling look at how New Hope can serve as a model for national anti-poverty policies. New Hope was a social contract—not a welfare program—in which participants were required to work a minimum of thirty hours a week in order to be eligible for earnings supplements and health and child care subsidies. All participants had access to career counseling and temporary community service jobs. Drawing on evidence from surveys, public records of employment and earnings, in-depth interviews, and ethnographic observation, Higher Ground tells the story of this ambitious three-year social experiment and evaluates how participants fared relative to a control group. The results were highly encouraging. Poverty rates declined among families that participated in the program. Employment and earnings increased among participants who were not initially working full-time, relative to their counterparts in a control group. For those who had faced just one significant barrier to employment (such as a lack of access to child care or a spotty employment history), these gains lasted years after the program ended. Increased income, combined with New Hope's subsidies for child care and health care, brought marked improvements to the well-being and development of participants' children. Enrollment in child care centers increased, and fewer medical needs went unmet. Children performed better in school and exhibited fewer behavioral problems, and gains were particularly dramatic for boys, who are at the greatest risk for poor academic performance and behavioral disorders. As America takes stock of the successes and shortcomings of the Clinton-era welfare reforms, the authors convincingly demonstrate why New Hope could be a model for state and national policies to assist the working poor. Evidence based and insightfully written, Higher Ground illuminates how policymakers can make work pay for families struggling to escape poverty.
Winner of the 2020 Anselm Strauss Award for Qualitative Family Research, National Council on Family Relations. How is qualitative data actually collected, analyzed, and accomplished? Real stories of How Qualitative Data Analysis Occurs: Moving Beyond "Themes Emerged" offers an in-depth look into how qualitative social science researchers studying family issues and dynamics approach their data analyses. It moves beyond the usual vague statement of "themes emerged from the data" to show readers how researchers actively and consciously arrive at their themes and conclusions, revealing the complexity and time involved in making sense of thousands of pages of interview data, multiple data sources, and diverse types of data. How Qualitative Data Analysis Occurs focuses on a diversity of topics in family research across the life course. The various authors provide detailed narratives into how they analyzed their data from previous publications, and what methodologies they used, ranging from arts-based research, autoethnography, community-based participatory research, ethnography, grounded theory, to narrative analysis. Supplemental figures, images, and screenshots which are referred to in the chapters, are included in an accompanying eResource, as well as links to the previously published work on which the chapters are based. This book is an invaluable resource for experienced and novice qualitative researchers throughout the social sciences.
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.