NVivo 8 David Palfreyman Outline Qualitative data and how to analyze it Your data Nvivo 8 2 March 2007 David Palfreyman Types of qualitative data 2 March 2007 David Palfreyman Interviews ID: 599912
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Slide1
Qualitative Data Analysis with NVivo 8
David
PalfreymanSlide2
OutlineQualitative data and how to analyze it.Your data
Nvivo
8
2 March 2007
David PalfreymanSlide3
Types of qualitative data2 March 2007
David
Palfreyman
Interviews
Focus groups
Documents
Observation
Artifacts
Text
Images
Audio
VideoSlide4
Research questionsDo teachers in lower- and higher-resourced schools have different attitudes to discipline?
May 2009
David PalfreymanSlide5
Units of analysisCases Attributes
Data extracts (e.g. quotations)
Codes (labels)
2 March 2007
David
Palfreyman
- Relations -
- Themes -
MEMO
S
LOTS
OF DATA
(in bundles)Slide6
MS Word for smaller projectsSearch (CTRL+F; Shift+F4)Coding with formats (bold, italics, font, size,
colour
)
Insert comments
Collect quotations (Find formats, copy and paste)
2 March 2007
David PalfreymanSlide7
Set up your project in NvivoSources: input data (documents, media files, …); memos.
Nodes
: store ideas and coding.
Sets
: group your sources and ideas.
May 2009
David PalfreymanSlide8
Analyze with NVivo
Find
ing bits of data
(e.g.
How many informants are over 25?
OR:
Who mentions “commitment” in their interview?
OR:
I had a document and some information about Mary – or was it Maria…? – and did I make a note about her?
)Coding: labelling bits of data(e.g. This person finds ZU students “difficult” –like my previous interviewee)Queries: asking questions of your data(e.g. How has “commitment” been referred to in the focus groups?
OR:
Do any of the participants make a connection between “family” and “motivation”?
OR: Do men and women tend to differ in their priorities?
)
2 March 2007
David
PalfreymanSlide9
Seeing (and showing) the bigger pictureMemos
: record your thoughts about the data while you remember them!
Models
: visualize what is going on in the data.
(e.g. concept maps, processes, categories, dimensions)
Links
: connect data items and content.
Quantifying codes
(e.g.
Is there a statistically significant difference between men’s and women’s comments on this issue?
)May 2009David PalfreymanSlide10
Online resourcesGrounded Theory: A thumbnail sketch
http://www.scu.edu.au/schools/gcm/ar/arp/grounded.html
(A clear summary of Grounded Theory as applied to actual data).
CAQDAS: A primer
http://www.lboro.ac.uk/research/mmethods/research/software/caqdas_primer.html
(a detailed review of various
softwares
for QDA, comparing their features and also the theoretical assumptions they embody)
.
Nvivo
8 tutorials
http://www.qsrinternational.com/support_tutorials.aspx?productid=18
http://qsrinternational.fileburst.com/Document/NVivo8/Teach_Yourself_NVivo_8_Tutorials.pdf
2 March 2007
David Palfreyman