Autobiographic Narratives as Data in Applied Linguistics

نویسنده

  • ANETA PAVLENKO
چکیده

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 biand multilinguals’ narratives on macroand micro-levels in terms of content, context, and form.

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تاریخ انتشار 2007