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- W4200219342 abstract "Research data is usually thought to be passive and separate from the researcher. Data analysis is thought to be a process that takes place in the mind of the researcher. New materialists have thus proposed a move away from an interpretivist view of data analysis by coding, categorising data, identifying themes and categories or merely letting the research subjects voices speak for themselves. Diffraction can be used as an alternative methodology to interpretation or thematic analysis. A diffractive methodology would involve reading sets of data or theoretical insights and data through each other. Lisa Blackman proposes an affective approach to data by attending to that which exceeds and exists below conscious and rational thought. Affective approaches to data use science fiction or speculative fabulation – as does Donna Haraway – as a transdisciplinary strategy for producing haunted and queer data." @default.
- W4200219342 created "2021-12-31" @default.
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- W4200219342 date "2021-11-28" @default.
- W4200219342 modified "2023-09-23" @default.
- W4200219342 title "Data" @default.
- W4200219342 doi "https://doi.org/10.4324/9781003041153-25" @default.
- W4200219342 hasPublicationYear "2021" @default.
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