Making sense of data interrelations in qualitative longitudinal and multi-perspective analysis

StatusVoR
Dublin Core metadata
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Authors
Trąbka, Agnieszka
Pustułka, Paulina
Bell, Justyna
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Date
2024-01-29
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Journal title
Forum Qualitative Sozialforschung Forum: Qualitative Social Research
Issue
1
Volume
25
Pages
Pages
1-24
DOI
ISSN
1438-5627
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Access date
2024-01-29
Abstract PL
Abstract EN
In this article, we address data interrelations that social researchers face when working with qualitative data collected through in-depth interviews with longitudinal (QLR) and multiperspective (MPR) research designs. Revisiting data from four different research projects and building on the proposal by VOGL, ZARTLER, SCHMIDT and RIEDER (2018), we present the 4C model of complexities within data interrelations. Specifically, the broader pool of data allowed us to cross-investigate how interview data may contradict, correct, complement, or be confluent with what the researcher has gathered from another interview conducted at a different point in time (longitudinally) or with another study participant (multi-perspective approach). Using different forms of transitions (e.g., transitions to adulthood, migratory transitions, transitions to parenthood) as a common analytical thread, we argue that revealing inherent inconsistencies in the data reflects the complex and ever-changing nature of reality and that making sense of these inconsistencies often enriches interpretations.
Abstract other
Keywords PL
Keywords EN
qualitative data analysis
multi-perspective research (MPR)
qualitative longitudinal research (QLR)
aging transitions
motherhood
migration
in-depth interviews
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https://share.swps.edu.pl/handle/swps/498
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cc-by
Except as otherwise noted, this item is licensed under the Attribution licence | Permitted use of copyrighted works
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