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Cited by 1,015

The DOI matches its Crossref record; 57 of the 57 references it cites were found in a registry or an index.

Autobiographic Narratives as Data in Applied Linguistics

Pavlenko, A.·2007·Applied Linguistics

Abstract

In the past decade, language memoirs, linguistic autobiographies, and learners’ journals and diaries have become a popular means of data collection in applied linguistics. It is not always clear however how one should go about analyzing these data. The aim of this paper is to offer a critical review of analytical frameworks applied to second language users’ personal narratives. I discuss the strengths and weaknesses of these frameworks in relation to the type of information they seek: subject reality, life reality, and text reality. I argue that some analytical approaches, in particular content and thematic analyses, are insensitive to the interpretive nature of autobiographic data. Subsequently, I offer recommendations for systematic analysis of bi- and multilinguals’ narratives on macro- and micro-levels in terms of content, context, and form.

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Metadata

Authors
Pavlenko, A.
Venue
Applied Linguistics
Published
2007-04-30
Volume
28
Issue
2
Pages
163-188
ISSN
  • 0142-6001 (ISSN-L)
  • 1477-450X
OpenAlex
W2152654022
Cited by
1,015
References
57
FWCI
131.34
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Autobiographic Narratives as Data in Applied Linguistics. https://app.cochat.ai/papers/10.1093/applin/amm008
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Pavlenko, A. (2007). Autobiographic Narratives as Data in Applied Linguistics. Applied Linguistics. https://doi.org/10.1093/applin/amm008

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.