Developing pedagogy for 'Big Qual' methods: teaching how to analyse large volumes of secondary qualitative data

Lewthwaite, Sarah and Weller, Susie and Jamieson, Lynn and Edwards, Rosalind and Nind, Melanie (2019) Developing pedagogy for 'Big Qual' methods: teaching how to analyse large volumes of secondary qualitative data. NCRM Working Paper. NCRM EPrints. (Unpublished)

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Abstract

The sharing and re-use of data is encouraged by major research funding bodies in the UK as a way of maximising its value and as vital to accountability and transparency. The creation of repositories, such as the UK Data Archive which houses over 1,000 qualitative and mixed methods datasets, offers qualitative researchers and students many opportunities to re-use data. However, the practice of moving beyond the reuse of one or two datasets to working across multiple small-scale archived qualitative studies remains under developed. This represents a challenge, both for researchers seeking to develop their skills and for methods teachers tasked with developing research capacity. This working paper describes the work of a unique collaboration between researchers of methods for analysing large volumes of qualitative data, ‘big qual’, and researchers of social science research methods pedagogy to develop big qual methods teaching and open educational resources. Using reflective and evaluative methods, the combined team completed three cycles of action and reflection based upon the teaching of big qual analysis using an innovative breath-and-depth method for working across multiple archived qualitative data sets. This paper reports key messages for teachers of big qual and related innovative methods, identifying the importance of teachers’ pedagogic reflection across their approaches, strategies, tactics and discrete in-class tasks, and other key pedagogic resources that are necessary to develop teaching and learning. These resources respond to particular challenges for interdisciplinary and innovative methods teaching. They include modes of teaching through data, the use of worked examples and metaphors for articulating and structuring the acquisition of new concepts and knowledge, and the use of peer-learning to enrich learning and manage diversity. Lastly the paper links to an extensive suite of Open Educational Resources for the teaching of big qual analysis at the ESRC National Centre for Research Methods.

Item Type:Working Paper (NCRM Working Paper)
Subjects:4. Qualitative Data Handling and Data Analysis > 4.6 Analysis of Composite Data
4. Qualitative Data Handling and Data Analysis > 4.7 Corpus Analysis
4. Qualitative Data Handling and Data Analysis > 4.20 Textual Analysis
4. Qualitative Data Handling and Data Analysis > 4.22 Qualitative Data Coding
4. Qualitative Data Handling and Data Analysis > 4.23 Qualitative Approaches (other)
6. Mixed Methods Data Handling and Data Analysis > 6.2 Combining Qualitative and Quantitative Approaches
7. ICT and Software > 7.1 Qualitative Software
7. ICT and Software > 7.1 Qualitative Software > 7.1.5 Computer Aided Qualitative Analysis Software (CAQDAS)
9. Research Skills, Communication and Dissemination > 9.6 Teaching and Supervising Research Methods
ID Code:4247
Deposited By: NCRM users
Deposited On:11 Feb 2019 16:36
Last Modified:11 Feb 2019 16:36

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