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Qualitative Data Analysis with NVivo 8. David Palfreyman. Outline. Qualitative data and how to analyze it. Your data Nvivo 8. Types of qualitative data. Text Images Audio Video. Interviews Focus groups Documents Observation Artifacts. Research questions.
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Qualitative Data Analysis with NVivo8 David Palfreyman
Outline • Qualitative data and how to analyze it. • Your data • Nvivo 8 David Palfreyman
Types of qualitative data Text Images Audio Video Interviews Focus groups Documents Observation Artifacts David Palfreyman
Research questions • Do teachers in lower- and higher-resourced schools have different attitudes to discipline? David Palfreyman
Units of analysis • Cases • Attributes • Data extracts (e.g. quotations) • Codes (labels) • LOTS OF DATA (in bundles) MEMO S - Relations - - Themes - David Palfreyman
MS Word for smaller projects • Search (CTRL+F; Shift+F4) • Coding with formats (bold, italics, font, size, colour) • Insert comments • Collect quotations (Find formats, copy and paste) David Palfreyman
Set up your project in Nvivo • Sources: input data (documents, media files, …); memos. • Nodes: store ideas and coding. • Sets: group your sources and ideas. David Palfreyman
Analyze with NVivo • Finding 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?) David Palfreyman
Seeing (and showing) the bigger picture • Memos: 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?) David Palfreyman
Online resources Grounded 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 David Palfreyman