Qualitative Longitudinal Research by Bren Neale

Author:Bren Neale [Neale, Bren]
Language: eng
Format: epub
Tags: Social Science, Research, Methodology, Reference
ISBN: 9781350188969
Google: L5EFEAAAQBAJ
Publisher: Bloomsbury Publishing
Published: 2020-12-10T03:34:20+00:00

5 Journeys with data: Field enquiry and analysis

In common with other phases of the research process, generating and analysing QL data involves a cyclical and cumulative journey through time. These are intertwined processes that are structured through the tempo of a study. Likewise, the idea of QL research as a craft applies just as much to the process of working with QL data as it does to questions of design and sampling. There are endless opportunities for creativity here (Saldana 2002), alongside the ever-present need for careful design and precision. A dataset that cumulates through successive waves of fieldwork needs to have some internal coherence, while the sheer volumes of data that are generated require careful management to facilitate their analysis and longer-term use (a theme developed in Bishop andNeale 2012; Corti and colleagues 2014; and Neale and colleagues 2016). In this chapter, varied strategies for generating and analysing QL data are introduced, and the interlocking nature of these processes is explored. We begin by setting out four broad approaches to field enquiry: ethnography, interviewing, participatory approaches and the use of existing data sources. This is followed by a more detailed exploration of QL interviewing, and participatory tools and techniques. In the second part of the chapter we consider the distinctive momentum and logic of Qualitative Longitudinal Analysis (QLA).

Generating QL data

There are four broad approaches to field enquiry that can be drawn upon and combined in the process of generating QL data:

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