Qualitative Data Analysis with Atlas. ti

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  • Format: Paperback
  • Copyright: 2012-01-24
  • Publisher: SAGE Publications Ltd
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Qualitative Data Analysis with Atlas.ti is the very first book designed to guide you step-by-step through your research project using Atlas.ti. In the book, you will find clear, practical advice on preparing your data, setting up a new project in Atlas.ti, developing a coding system, asking questions, finding answers and preparing your results. The book features: - methodological as well as technical advice - numerous practical exercises and examples - screenshots showing you each stage of analysis - a companion website (www.sagepub.co.uk/friese) with online tutorials and data sets Susanne Friese has over 15 years experience working with Atlas.ti and trains researchers all over Europe to use the software. Every student or researcher new to Atlas.ti needs this invaluable guide on their bookshelf!

Author Biography

Susanne Friese teaches qualitative methods at the University of Hanover and at various PhD schools, provides training and consultancy for ATLAS.ti and computer-assisted qualitative data analysis, authors didactic materials and works for ATLAS.ti at the intersection between developers and users.

Table of Contents

About the authorp. xii
Introductionp. 1
Getting to know ATLAS.tip. 9
Some basic terms and conceptsp. 9
The ATLAS.ti user interfacep. 10
Starting the programp. 11
Opening the sample projectp. 12
Context menusp. 12
The drop-down menus and object managersp. 13
Navigating the list of codesp. 17
A preview of the network view functionp. 18
A preview of the query toolp. 18
'Survival tips' to find your way around the main menup. 19
The toolbarsp. 20
Summaryp. 21
Solutions to the 'survival' exercisep. 21
Review questionsp. 21
Glossary of termsp. 21
Data preparationp. 23
Supported file formatsp. 23
Compatibilityp. 23
Choosing between different text formatsp. 25
Language supportp. 26
Font settingsp. 27
System settings for Thai and Asian language support on Western European and US Windows systemsp. 27
Preparing documentsp. 27
Transcriptionp. 27
Best practice rules and solutions in a nutshellp. 31
Review questionsp. 32
Project management: project setup for single users and teamsp. 33
What you need to know before setting up a projectp. 34
Data handling in ATLAS.tip. 34
Description of the sample data setp. 39
Setting up a projectp. 40
the one folder setup - for single users and teamsp. 40
working with internal documents (for projects containing only text files)p. 55
project setup for transcripts and synchronized media filesp. 5
documents and HU file need to remain at different locationsp. 58
Summaryp. 60
Review questionsp. 61
Glossary of termsp. 61
Technical aspects of codingp. 63
Variants of codingp. 63
Open codingp. 63
Coding via drag and dropp. 69
Writing comments for coded segmentsp. 72
Coding with in-vivo codesp. 73
Further coding-related options provided by the Code Managerp. 74
Coding other media typesp. 79
Coding a PDF documentp. 79
Coding an image documentp. 80
Coding audio and video filesp. 80
Coding an audio or video quotationp. 82
Coding a Google Earth documentp. 86
Summaryp. 88
Review questionsp. 88
Glossary of termsp. 89
Embarking on a journey - coding the data materialp. 91
The NCT model of qualitative data analysisp. 92
Noticing thingsp. 92
Collecting thingsp. 93
Thinking about thingsp. 100
Projecting the NCT model onto computer-assisted qualitative data analysisp. 100
The journey begins: noticing things and collecting themp. 103
Feedback session: what did you find?p. 104
How to add more structure to your explorationp. 104
More on code word labelsp. 112
Skills training dayp. 113
developing subcategoriesp. 113
searching for a common denominator building categories from the bottom upp. 117
rules for hierarchical coding schemesp. 121
Advantages of well-sorted and structured code listsp. 122
Moving onp. 128
'Open book' assessment after completing skills training 1-3p. 129
Test your understanding of computer-assisted NCT analysisp. 129
Glossary of termsp. 130
Further readingp. 131
Further steps in the data analysis processp. 133
Introducing the memo functionp. 133
Skills training 4: some technicalities of memo writingp. 135
Examples of stand-alone memosp. 136
Changing memo settingsp. 138
Linked memosp. 140
Summary of skills training 4p. 148
'Open book' assessment after completing skills training 4p. 149
Positioning and further directions for the onward journeyp. 149
Skills training 5: introducing the query toolp. 150
The retrieval languagep. 152
The three sets of operatorsp. 152
Miscellaneous useful query tool functionsp. 159
Exploring the data terrain further - the journey continuesp. 161
Examining RQ1a (finding co-occurring segments)p. 162
Examining RQ1b (getting to know the co-occurrence explorer tree view)p. 162
Examining RQ2a (combining code queries with variables + creating superfamilies)p. 165
Examining RQ2b (exporting code frequencies per document)p. 169
Examining RQ3 (exporting code frequencies per document)p. 171
Examining RQ4 (finding co-occurring segments in combination with variables)p. 171
Examining RQ5 (getting to know the co-occurrence explorer table view + creating superfamilies)p. 174
Saving a query for later reference (or working with supercodes)p. 178
Climbing the hills and clicking more complex queriesp. 180
Intermezzop. 184
On the use of code familiesp. 184
Summaryp. 187
'Open book' assessment of analysis toolsp. 187
Further readingp. 188
Glossary of termsp. 188
A reminder of set theory for understanding Boolean operatorsp. 190
Query for RQ1a: is direct speech used in headlines?p. 190
Query for RQ3: which topics are reported in US vs. German newspapers, local as compared to national papers?
Are there differences?p. 190
Working with network viewsp. 191
Skills training 6p. 192
Learning terminologyp. 192
Creating network viewsp. 194
Importing nodesp. 197
Removing nodesp. 197
Moving nodesp. 198
Layout optionsp. 198
The refresh option [F5]p. 199
Displaying code families in network viewsp. 199
Exporting network viewsp. 200
Saving network viewsp. 200
Display menup. 201
Relations Editorp. 203
Modifying an existing relationp. 206
Creating a new relationp. 206
Use of colors and images in network viewsp. 207
Code colors in network viewsp. 208
Utilizing code colors to show patterns in the datap. 209
Dealing with case-based network viewsp. 209
On the use of network views for structural purposesp. 211
Using network views to present conceptual-level analysisp. 216
Hyperlinks in ATLAS.tip. 221
Examples for using hyperlinksp. 221
Skills training 7: working with hyperlinksp. 222
Summaryp. 225
'Open book' assessment on the network view functionp. 226
Glossary of termsp. 226
Further readingp. 227
The method of computer-assisted NCT analysisp. 228
The cyclical nature of analysis: Notice-Collect-Thinkp. 228
Descriptive level analysisp. 229
First-stage codingp. 229
Adding structure to the code listp. 231
Second-stage codingp. 233
Conceptual-level analysisp. 233
Writing research question memosp. 234
Visualizingp. 235
The role of memos in NCT analysisp. 236
Software functions throughout the NCT process of analysisp. 237
Teaching computer-assisted NCT analysisp. 237
Addendap. 240
Editing primary documentsp. 240
Why you may want to edit a documentp. 240
What you should know about editingp. 241
How to editp. 244
Editing primary documents in team situationsp. 245
Best practice rules for editing primary documentsp. 246
Merging projectsp. 247
Prerequisites for mergingp. 247
How to mergep. 247
After the merging processp. 251
Creating backupsp. 252
Backup options for the HUp. 252
Backup or transfer of the completed project via copy bundlep. 253
Troubleshooting: what to do if primary documents become unusablep. 258
Pay attention to the status barp. 258
Creating accessibility reportsp. 259
Modifying the project setupp. 263
Exchanging doc or docx files with rtf files (changing paths)p. 263
Missing convertersp. 264
Review questionsp. 265
Referencesp. 266
Indexp. 270
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