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Developing an Abductive Coding Analysis Toolkit

Project description

Developing the abductive coding approach in qualitative research

Qualitative data analysts often employ grounded theory for theory-building purposes. However, technological advancements and the handling of larger datasets have created a tension between grounded theory principles and current practices. As a result, analysts find themselves relying on coding procedures that do not align with their realities. In this context, the ERC-funded DACAT project will develop a new approach to qualitative research called abductive coding. This involves creating a free Abductive Coding Analysis Toolkit (ACAToolkit) for academics, instructors, data analysts, and software developers. The toolkit will comprise a practical guide, an educational programme, and an overview of existing QDA software, catering to a broad disciplinary range. The project will undertake a literature review, organise workshops, and conduct in-situ tests as part of its implementation strategy.

Objective

In qualitative data analysis oriented towards theory-building, many data analysts anchor their methodological approach explicitly or not in grounded theory. However, as research in teams develops, handling larger amounts of qualitative data enabled by technological developments, grounded theorys principles are increasingly at odds with current practices; and analysts of qualitative data are left relying on coding procedures that do not match their realities. Following a burgeoning literature and building on the ERC-funded QUALIDEM project, we argue that shifting to an abductive approach of coding, that combines deduction and induction at different stages of data analysis, provides an epistemology to qualitative research that aims at theory-building. This PoC aims to develop abduction as a method of qualitative data analysis by providing a toolkit for abductive coding the Abductive Coding Analysis Toolkit (ACAToolkit). The ACAToolkit includes three main components: (1) a practical guide ; (2) an educational program for training; (3) an overview of the potentials and limits of existing QDA software - for abductive coding. The toolkit, thereby, targets several audiences: academics, instructors, data analysts and software developers. Our pathway from research to innovation consists of three steps: (1) mapping the existing practices, and tools of abductive coding in different disciplines through a systematic literature review whose results will be presented in a technical report; (2) developing our abductive coding analysis toolkit through research collaborations and consultancy agreements with stakeholders educators, software developers and data analysts, synthesized during two cocreation workshops; (3) testing the ACAToolkit with different potential end-users during five in situ tests with researchers, students, educators, software developers, and data analysts. The toolkit aims to be free, attractive, widely applicable, and with a wide disciplinary range.

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HORIZON-ERC-POC - HORIZON ERC Proof of Concept Grants

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Call for proposal

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(opens in new window) ERC-2023-POC

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Host institution

UNIVERSITE CATHOLIQUE DE LOUVAIN
Net EU contribution

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€ 150 000,00
Address
PLACE DE L UNIVERSITE 1
1348 LOUVAIN LA NEUVE
Belgium

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Region
Région wallonne Prov. Brabant Wallon Arr. Nivelles
Activity type
Higher or Secondary Education Establishments
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Total cost

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