Doing new materialist data analysis: a Spinozo-Deleuzian ethological toolkit

Alldred, P ORCID: https://orcid.org/0000-0002-5077-7286 and Fox, NJ, 2021. Doing new materialist data analysis: a Spinozo-Deleuzian ethological toolkit. International Journal of Social Research Methodology. ISSN 1364-5579

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Abstract

With growing social science interest in new materialist and posthuman ontologies, it is timely to explore how these may translate practically into social research methodologies. This task is complicated by differing interpretations of how new materialist precepts should shape research. This paper aims to fill a gap in the literature by setting out a methodology using one specific thread within the new materialisms: Deleuzian ‘ethology’. Inspired by Spinoza’s Ethics, Deleuze established a conceptual toolkit for ethological inquiry, comprising ‘relation’, ‘assemblage’, ‘affect’ and ‘capacity’. We show how this toolkit translates into a design for analysing empirical data. Effective data analysis also depends on the adequacy and appropriateness of earlier stages in the research process. We therefore also consider an ethological approach to setting a research question, choosing data collection methods and presenting study findings. We conclude with some reflections on the challenges of translating philosophical theory into social science methodology.

Item Type:	Journal article
Alternative Title:	Doing new materialist data analysis
Publication Title:	International Journal of Social Research Methodology
Creators:	Alldred, P. and Fox, N.J.
Publisher:	Routledge
Date:	3 June 2021
ISSN:	1364-5579
Identifiers:	Number Type 10.1080/13645579.2021.1933070 DOI 1440345 Other
Rights:	This is an Accepted Manuscript of an article published by Taylor & Francis in International Journal of Social Research Methodology on 3 June 2021, available online: http://www.tandfonline.com/doi/full/10.1080/13645579.2021.1933070
Divisions:	Schools > School of Social Sciences
Record created by:	Jonathan Gallacher
Date Added:	06 Dec 2021 14:25
Last Modified:	03 Dec 2022 03:00
URI:	https://irep.ntu.ac.uk/id/eprint/45058

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