Multi-resolution design: using qualitative and quantitative analyses to recursively zoom in and out of the same dataset

Gillespie, Alex ORCID: 0000-0002-0162-1269, Glăveanu, Vlad Petre, de Staint-Laurent, Constance, Zittoun, Tania and Bernal Marcos, Marcos José (2024) Multi-resolution design: using qualitative and quantitative analyses to recursively zoom in and out of the same dataset. Journal of Mixed Methods Research. ISSN 1558-6898

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Abstract

A recent challenge is how to mix qualitative interpretation with computational techniques to analyze big qualitative data. To this end, we propose “multi-resolution design” for mixed method analysis of the same data: qualitative analysis zooms-in to provide in-depth contextual insight and quantitative analysis zooms-out to provide measures, associations, and statistical models. The raw qualitative data is transformed between excerpts, counts, and measures; with each having unique gains and losses. Multi-resolution designs entail transforming the data back-and-forth between these data types, recursively quantitizing and qualitizing the data. Two empirical studies illustrate how multi-resolution design can support abductive inference and increase validity. This contributes to mixed methods literature a conceptualization of how mixed analysis of the same big qualitative dataset can create tightly integrated synergies.

Item Type:	Article
Additional Information:	© 2024 The Author(s)
Divisions:	Psychological and Behavioural Science
Subjects:	B Philosophy. Psychology. Religion > BF Psychology
Date Deposited:	04 Sep 2024 09:42
Last Modified:	18 Nov 2024 23:09
URI:	http://eprints.lse.ac.uk/id/eprint/125338

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