Computational text analysis and ‘big qual’ data
|Event Name||Computational text analysis and ‘big qual’ data|
|Start Date||30th Nov 2017 1:00pm|
|End Date||30th Nov 2017 2:15pm|
|Duration||1 hour and 15 minutes|
How feasible is it to conduct secondary data analysis across large volumes of qualitative data from different projects? And how can this be practiced with qualitative integrity? In this seminar, Emma Davidson, Lynne Jamieson and Justin Ho will explore these questions, drawing on their experiences of ‘Working Across Qualitative Longitudinal Studies: a feasibility study looking at care and intimacy’. The aim of the project is to develop secondary analytic practice for working with ‘big qual’ data, to produce analyses that work horizontally and vertically. Part of the project has involved examining the possibilities and pitfalls of applying computational textual analysis to large volumes of qualitative data. In this seminar, the three will focus specifically on their analysis using R, and their approach to bringing computational analysis into conversation with in-depth qualitative insights.
This event will take place on Thursday, November 30 from 1pm-2.15pm in the Practice Suite (1.12) on the 1st floor of the Chrystal Macmillan Building.