The Nvivo Qualitative Project Book

by ;
Edition: CD
Format: Paperback
Pub. Date: 2001-01-01
Publisher(s): Sage Publications Ltd
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Summary

'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 tools in the processes of getting started, tentative interpretation, drawing links, shaping data, and seeking and establishing explanations and theories. The NVivo Qualitative Project Book allows the researcher to work through their own project, or work with data provided from a real project. The authors draw on decades of experience of research and training researchers around the world, and take the reader through each step in a style combining informality and authority, with frequent tips and reflections on what is being done. Demonstration software is provided on the enclosed CD-ROM, with data to help create (a researcher's project) a project about researchers and researching, and with multiple stages arranged sequentially in the development of a real project. As a practical tool to help researchers understand qualitative data analysis software using NVivo, and a guide through the sometimes complex processes of doing a research project, this book will be invaluable reading for researchers and students undertaking qualitative research. Pat Bazeley provides training and consulting services in research design and data analysis through her company, Research Support. Lyn Richards is Director of Research Services at Qualitative Solutions and Research, the developers of NUD·IST and NVivo software. NVivo is distributed by Scolari, Sage Publications Software.

Table of Contents

Preface 1(2)
Introduction: The book and the software 3(1)
About this book
4(1)
About NVivo
5(2)
How can NVivo be used with this book?
7(2)
What other help is there?
7(2)
Making a start
9(14)
Where to start?
10(1)
Installing and calling NVivo
11(1)
Starting a project
11(1)
First steps
12(10)
Recording your initial thoughts
12(5)
Linking to other data
17(2)
Modeling your preliminary ideas
19(2)
Making it safe
21(1)
Taking stock
22(1)
First coding
23(12)
Nodes out of data
24(6)
Coding ``up'' from your project journal
24(1)
Workingt with retrievals
25(2)
More Free Nodes
27(3)
Viewing coding
30(1)
Exploring nodes
31(2)
Nodes in models
33(1)
Saving your project
34(1)
Taking Stock
34(1)
Making data
35(14)
Early data documents
36(5)
Edit or import?
36(1)
Importing a document
37(2)
Proxy documents
39(2)
Attributes and values
41(4)
Links to Memos (and other document)
45(3)
Creating and using memos
45(1)
Linking from the text to an existing document
45(1)
Linking a new memo
46(2)
Taking stock
48(1)
Working with data
49(20)
Reflecting and recording ideas
50(3)
Annotating the text
50(1)
Memoing detail
51(2)
Coding and what it does
53(4)
Thinking about coding
53(1)
Approaches to coding
54(3)
Coding in NVivo
57(6)
Coding at new nodes
57(1)
Coding at existing nodes
58(1)
Checking Coding
59(1)
Coding-on from a node
60(1)
Coding a proxy document
61(1)
Avoiding pitfalls in coding
62(1)
Reflections on a document
63(2)
Making a text report of your document
63(2)
Reflecting in a model
65(3)
Taking stock
68(1)
Shaping your project
69(20)
Creating more documents
70(1)
Nodes in Trees
70(6)
Coding with Tree Nodes
72(2)
Moving nodes
74(2)
Sets of documents
76(5)
Using Sets to direct a Search
78(3)
Sets of nodes
81(3)
Cases shaped in nodes
84(3)
Taking stock
87(2)
``Emerging'' theory?
89(24)
What are you aiming for?
90(2)
How will you know if you get there?
90(1)
Theory emergence and theory construction
90(2)
Exploration of categories
92(4)
Working in a node
92(1)
Naming and describing
93(3)
A web of ideas
96(5)
Reflecting in a memo about a node
96(1)
Creating node links
97(2)
Extract Nodes
99(2)
Category development---focusing and extending
101(3)
Discriminating and combining categories
102(2)
Reviewing categories and seeking associations
104(3)
Modeling relationships
107(4)
Linking a model to a document
110(1)
Taking Stock
111(2)
Ordering concepts
113(20)
Thinking trees
114(3)
Sorting nodes
114(3)
From ``sorts'' to structure
117(7)
Creating Tree Nodes
117(1)
Shifting Free Nodes into Trees
118(6)
Rearranging an index tree
124(4)
Using structure
128(3)
Using trees while coding
128(1)
Using trees to explore with searches
128(3)
Taking stock
131(2)
Moving faster
133(24)
``Batching in'' multiple documents
134(2)
Handling data from multiple sources
135(1)
Faster coding
136(10)
Coding with Text Search
138(3)
Combining text other searches
141(1)
Autocoding by section
142(4)
Faster attributes
146(2)
Faster Sets
148(2)
Faster cases
150(3)
Importing Attributes for Case Nodes
151(2)
Faster searches
153(3)
Using attributes to make comparisons
153(2)
Examining the interaction of attributes
155(1)
Taking Stock
156(1)
Getting there
157(28)
Aiming for and achieving research goals
158(3)
Categories and theory
158(1)
The project and its purposes
159(2)
Are your concepts good enough?
161(7)
Concept clarification
161(1)
Conceptual framework review
162(1)
Review the performance of nodes
163(1)
Concept clarification using searches
164(2)
Clustering concepts
166(2)
Exploring and validating patterns
168(6)
What is going on here?
168(2)
Seeking associations
170(1)
Under what conditions...?
171(2)
Investigating exceptions
173(1)
Fine reading, detailed understanding
174(2)
Insight, surprise and arrival
176(4)
Creating surprises
176(2)
Using (rather than losing) surprises
178(1)
When is an ``Aha'' a final chapter?
179(1)
Showing and Telling
180(3)
Making reports
181(2)
What next to learn about Nvivo?
183(2)
Appendix: Preparing Data 185(10)
Preparing a text document for import into NVivo
186(5)
Making notes or transcriptions
186(1)
Rich text documents
186(3)
Preparing open-ended survey responses
189(1)
Preparing a plain text document---with style
190(1)
Preparing data for attribute import
191(4)
Index 195

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