Qualitative Data Analysis With Nvivo Paperback 2nd

Patricia Bazeley

Lecturers/instructors only request a free digital inspection copy here 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.

1446256561

9781446256565

English

SAGE Publications Ltd

31-May-13

328

Pat Bazeley provides research training and consulting to academics, graduate students, and practitioners from a wide range of disciplines and settings both locally and internationally. She has worked in community development, project consulting, and in academic research development. Pat helps researchers to design for and make sense of data generally, and to manage and analyse qualitative and mixed methods data in particular. She has published on qualitative and mixed methods analysis and on the career development and performance of researchers.

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