The NVivo qualitative project book [electronic resource] / Patricia Bazeley and Lyn Richards.

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 QSR NVivo. QSR NVivo is available from Scolari, SAGE Publications Software....

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Bibliographic Details
Online Access: Full Text (via SAGE)
Main Authors: Bazeley, Patricia (Author), Richards, Lyn, 1944- (Author)
Other title:Qualitative project book.
Format: Electronic eBook
Language:English
Published: London ; Thousand Oaks, Calif. : SAGE Publications, ©2000.
Subjects:
Table of Contents:
  • Cover
  • Contents
  • Preface
  • Introduction58; The book and the software
  • About this book
  • About NVivo
  • How can NVivo be used with this book63;
  • What other help is there63;
  • Part 158; Making a start
  • Where to start63;
  • Installing and calling NVivo
  • Starting a project
  • First steps
  • Recording your initial thoughts
  • Linking to other data
  • Modeling your preliminary ideas
  • Making it safe
  • Taking stock
  • Part 258; First coding
  • Nodes out of data
  • Coding 8220;up8221; from your project journal
  • Working with retrievals
  • More Free Nodes
  • Viewing coding
  • Exploring nodes
  • Nodes in models
  • Saving your project
  • Taking Stock
  • Part 358; Making dada
  • Early data documents
  • Edit or import63;
  • Importing a document
  • Proxy documents
  • Attributes and values
  • Links to Memos 40;and other documents41;
  • Creating and using memos
  • Linking from the text to an existing document
  • Linking a new memo
  • Taking stock
  • Part 458; Working with data
  • Reflecting and recording ideas
  • Annotating the text
  • Memoing detail
  • Coding and what it does
  • Thinking about coding
  • Approaches to coding
  • Coding in NVivo
  • Coding at new nodes
  • Coding at existing nodes
  • Checking Coding
  • Coding45;on from a node
  • Coding a proxy document
  • Avoiding pitfalls in coding
  • Reflections on a document
  • Making a text report of your document
  • Reflecting in a model
  • Taking stock
  • Part 558; Shaping your project
  • Creating more documents
  • Nodes in Trees
  • Sets of documents
  • Sets of nodes
  • Cases shaped in nodes
  • Taking stock
  • Part 658; 8220;Emerging8221; theory63;
  • What are you aiming for63;
  • How will you know if you get there63;
  • Theory emergence and theory construction
  • Exploration of categories
  • Working in a node
  • Naming and describing
  • A web of ideas
  • Reflecting in a memo about a node
  • Creating node links
  • Extract Nodes
  • Category development8212;focusing and extending
  • Discriminating and combining categories
  • Reviewing categories and seeking associations
  • Modeling relationships
  • Linking a model to a document
  • Taking Stock
  • Part 758; Ordering concepts
  • Thinking trees
  • Sorting nodes
  • From 8220;sorts8221; to structure
  • Creating Tree Nodes
  • Shifting Free Nodes into Trees
  • Rearranging an index tree
  • Using structure
  • Using trees while coding
  • Using trees to explore with searches
  • Taking stock
  • Part 858; Moving faster
  • 8220;Batching in8221; multiple documents
  • Handling data from multiple sources
  • Faster coding
  • Coding with Text Search
  • Combining text and other searches
  • Autocoding by section
  • Faster attributes
  • Faster Sets
  • Faster cases
  • Importing Attributes for Case Nodes
  • Faster searches
  • Using attributes to make comparisons
  • Examining the interaction of attributes
  • Taking Stock
  • Part 958; Getting there
  • Aiming for and achieving research goals
  • Categories and theory
  • Are your concepts good enough63;
  • Concept clarification
  • Exploring and valida.