The NCRM quick start guide: Teaching the analysis of big qual data
The NCRM quick start guide: Teaching the analysis of big qual data
The sharing and re-use of data is priority for funding councils and this has recently led to initiatives in the world of qualitative data. NCRM researchers Lynn Jamieson, Ros Edwards, Susie Weller and Emma Davidson have been developing a new Breadth-and-Depth Method for big qual analysis1. Sarah Lewthwaite and Melanie Nind have been working with them to consider the practical challenges of teaching and learning a method like this that is so new. Through a series of cycles of discussion, teaching, reflection and revision2, the combined team have developed some guidance for teaching this method. If you teach secondary qualitative data analysis or a related method you might find some of the guidance useful to your own context.
National Centre for Research Methods, School of Social Sciences, University of Southampton
Nind, Melanie
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Lewthwaite, Sarah
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11 February 2019
Nind, Melanie
b1e294c7-0014-483e-9320-e2a0346dffef
Lewthwaite, Sarah
0e26d7cf-8932-4d65-8fea-3dceacf0ea88
Nind, Melanie and Lewthwaite, Sarah
(2019)
The NCRM quick start guide: Teaching the analysis of big qual data.
Abstract
The sharing and re-use of data is priority for funding councils and this has recently led to initiatives in the world of qualitative data. NCRM researchers Lynn Jamieson, Ros Edwards, Susie Weller and Emma Davidson have been developing a new Breadth-and-Depth Method for big qual analysis1. Sarah Lewthwaite and Melanie Nind have been working with them to consider the practical challenges of teaching and learning a method like this that is so new. Through a series of cycles of discussion, teaching, reflection and revision2, the combined team have developed some guidance for teaching this method. If you teach secondary qualitative data analysis or a related method you might find some of the guidance useful to your own context.
Text
Teaching the analysis of big qual data
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Published date: 11 February 2019
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Local EPrints ID: 431558
URI: http://eprints.soton.ac.uk/id/eprint/431558
PURE UUID: f99d3833-d54a-4c17-a7aa-d5cd2ed6b60c
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Date deposited: 07 Jun 2019 16:30
Last modified: 10 Apr 2024 01:50
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