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Qualitative Data Analysis with Nvivo

ISBN-10: 1446256561
ISBN-13: 9781446256565
Edition: 2nd 2013
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Description: 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  More...

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Book details

List price: $29.99
Edition: 2nd
Copyright year: 2013
Publisher: SAGE Publications, Limited
Publication date: 4/25/2013
Binding: Paperback
Pages: 328
Size: 6.75" wide x 9.50" long x 0.50" tall
Weight: 1.254
Language: English

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 contentThis 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.

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 part-time Associate Professor in the Centre for Primary Health Care and Equity at thenbsp; University of New South Wales. Through her company, Research Support P/L, Pat provides research consulting and retreat facilities for researchers at Bowral, in the southern highlands of NSW. Additionally, she provides training and consulting services for academics, graduate students and practitioners in universities, government departments and commercial organizations both locally and internationally. Her particular expertise is in helping researchers to make sense of both quantitative and qualitative 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 has served as an Associate Editor of the Journal of Mixed Methods Research and has published books, chapters and articles on qualitative and mixed methods data analysis. She has also published on immunization services, and on the career development and performance of researchers. Pat's own research has been focused in two quite different substantive areas: around the motivation, development, performance and careers of researchers; and in public/community health issues. She has a particular interest in mixed methods research, where she is exploring tools and techniques for integrating analysis of qualitative and quantitative data, and the methodological implications of doing so. Pat has served as an Associate Editor of the Journal of Mixed Methods Research, reviews articles and research proposals for a wide range of journals and international funding bodies, and 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.

Figures
Tables
About the authors
Preface to the second edition
Chapter outline
Acknowledgements
Perspectives: Qualitative computing and NVivo
Qualitative research purposes and NVivo
The evolution of qualitative data analysis software
Issues raised by using software for qualitative data analysis
Exploring an NVivo project
Overview: what's in an NVivo project?
Starting out, with a view ahead
Exploring the research terrain
Explore the terrain with software
Looking ahead: connecting a web of data
Looking ahead: keeping track of emerging ideas
Memos, annotations or links: which should it be?
Saving and backing up your project
Designing an NVivo database
Qualitative data for your project
Thinking cases
Preparing data sources
Storing qualitative data in NVivo
Managing data sources in NVivo
Questions to help you work through these early phases
Coding basics
Goals for early work with data
Building knowledge of the data through coding
Storing coding in nodes
Identifying and naming codes
Further coding in NVivo
Practical issues in coding
Moving on
Going on with coding
Creating a structured coding system
Organizing and coding with nodes in trees in NVivo
Automating routine coding
Automating coding with word frequency and text search queries
Closeness and distance with coded data
Moving on
Cases, classifications, and comparisons
Understanding case types and case nodes
Making case nodes
Understanding attributes, values, and classifications
Creating classifications, attributes, and values
Using attributes for comparison
Using sets to manage data
Overview
Working with multimedia sources
The promises and perils of non-text data
Using images in your research
Working with audio and video sources
Accessing and using web-based data
Exporting images, audio, and video
Adding reference material to your NVivo project
Using reference material in your project
Importing, coding, and viewing pdf sources
Importing reference material from bibliographic software
Capturing web pages with NCapture
Datasets and mixed methods
Combining data types in research
What does a dataset look like?
Managing data in a dataset
Coding dataset text
Importing and analysing a social media dataset
Analysing datasets and other mixed data types
Tools and strategies for visualizing data
Why visualize?
Case analysis using models
Grouping and conceptualizing
Comparative analysis with charts and graphs
Explore relationships via the modeller
Build a visual narrative
Mapping connections - building theory
Exploratory visualization using cluster analysis
Exporting models and visualizations
Concluding comments
Using coding and queries to further analysis
The analytic journey
Queries in NVivo
Common features in queries
Seven queries
Using coding and queries to further analysis
Creating and customizing reports
Teamwork with NVivo
Getting ready for teamwork
Options for storing and accessing a team project
Getting started as a team with NVivo
Using NVivo's tools to facilitate team communication
Coding as a team
Combining databases
Comparing coding by different researchers
Moving on - further resources
References
Index

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