`A great basic book, which can be used by the novice qualitative researcher. The advice is friendly, almost folksy with clear
conceptual explanation of how the program works. A very welcome contribution to this field′ - Martha Ann Carey, Albert Einstein College of Medicine, New York
This book invites readers to learn how to use qualitative data analysis software in the context of doing their research project. The reader follows basic steps for creating and conducting a real project with real data, using the new-generation software package, QSR NVivo. The software tools are introduced only as needed and explained in the framework of what is being asked. The reader is the craftsperson, trialling those to
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Pat Bazeley was awarded a PhD in community psychology for an action research based thesis which argued that community development was an effective strategy for the promotion of mental health in a disadvantaged population. After graduating she worked in community development and as a freelance researcher, undertaking projects in public health, welfare, education, law and community studies. From 1991-9 she was responsible for research development and administration for academic staff at the University of Western Sydney, Macarthur. Currently, she is a (very) part time Associate Professor in the Centre for Primary Health Care and Equity at the University of New South Wales, supervising PhD students.
From 2000-2013 Pat provided research training, consulting and retreat facilities for researchers at Bowral, in the southern highlands of NSW. She continues to provide occasional training and consulting services for academics, graduate students and practitioners in universities, government departments and commercial organisations both locally and internationally. Her particular expertise is in helping researchers to make sense of qualitative, quantitative, and mixed methods data and in using computer programs for management and analysis of data. Her passion is to help people move beyond simple descriptive analyses of rich data.
Pat has a particular interest in mixed methods research, where she is exploring tools and techniques for integrating analyses of different forms of data, and the methodological implications of doing so. She was 2015-16 President of the Mixed Methods International Research Association. Pat is currently on the Editorial Boards for the Journal of Mixed Methods Research and Qualitative Health Research, having served in the past as an Associate Editor of the Journal of Mixed Methods Research. She has published books, chapters and articles on qualitative and mixed methods data analysis. She has also published on immunisation services, and on the career development and performance of researchers.
Lyn Richards has a highly unusual range of relationships with qualitative research. After undergraduate training as a Historian and Political Scientist, she moved to Sociology. Her early work as a family sociologist addressed both popular and academic audiences, with a strong motivation always to make the funded research relevant to the people studied, and the qualitative analysis credible to those affected. Each of her four books in family sociology was a text at university level but also widely discussed in popular media and at community level. During her tenure as Reader and Associate Professor at La Trobe University in Melbourne, she won major research grants, presented and published research papers, was a founding member of a qualitative research association and taught qualitative methods at undergraduate and graduate level, supervising Masters and PhD students.
She strayed from this academic pathway when challenges with handling qualitative data in her family and community studies led to the development, with Tom Richards, of what rapidly became the world’s leading qualitative analysis software. They left the university to found a research software company, in which for a decade Lyn was Director of Research Services, writing software documentation and managing international teaching of the methods behind the software. Designing and documenting software taught her to confront fuzzy thinking about methods, and to demand straight talking, clarity of purpose, detail of technique and a clear answer always to “Why would we want to do that?” Teaching methods to thousands of researchers in dozens of disciplines in 14 countries, she learned what worked and what didn’t. From those researchers, graduates and faculty in universities and research practitioners in the world beyond, she learned their many ways of handling data, on and off computers, and their strategies for making sense of data.
Handling Qualitative Data is a direct result of this experience. It offers clear, practical advice for researchers approaching qualitative research and wishing to do justice to rich data. Like her previous book, with Janice Morse, Readme First, for a user’s guide to qualitative methods it strongly maintains the requirements of good qualitative research, assumes and critiques the use of software and draws on practical work, helping researchers whose progress has been hindered by confusion, lack of training, mixed messages about standards and fear of being overwhelmed by rich, messy data.
Throughout this hybrid career, Lyn continued contributions to critical reflection on new methods, as a writer and a keynote speaker in a wide range of international conferences. She has life membership of the International Sociological Association and its Methodology section. Her writing aims always to cut through barriers to high quality qualitative research and to assist researchers and teachers in making the inevitable shift to computing whilst maximizing the benefits for their research processes and outcomes. On leaving software development, she took an Adjunct Professorship at RMIT University where she is now Associate Research Fellow of the Centre for Applied Social Research (CASR) and coordinates an active, informal and splendidly supportive qualitative research network group.Review:
"A great basic book, which can be used by the novice qualitative researcher. The advice is friendly, almost folksy with clear conceptual explanation of how the program works. A very welcome contribution to this field."-- Review
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Descripción SAGE Publications Ltd, 2000. Paperback. Estado de conservación: New. Nº de ref. de la librería P110761970002
Descripción SAGE Publications Ltd. PAPERBACK. Estado de conservación: New. 0761970002 New Condition. Nº de ref. de la librería NEW6.0402428
Descripción SAGE Publications Ltd, 2000. Paperback. Estado de conservación: New. Nº de ref. de la librería DADAX0761970002
Descripción Sage Publications Ltd 2000-12-19, 2000. Paperback. Estado de conservación: New. 0761970002. Nº de ref. de la librería 516158