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Cited by 2,793

The DOI matches its Crossref record; 51 of the 51 references it cites were found in a registry or an index.

Research Methods in Applied Linguistics

·2021·Research methods in applied linguistics
DOI 10.1075/rmal
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Abstract

The Research Methods in Applied Linguistics (RMAL) series publishes authoritative general guides and in-depth explorations of central research methodology concerns in the entire field of Applied Linguistics. The hallmark of the series is the contribution to stimulating and advancing professional methodological debates in the domain. Books published in the series (both authored and edited volumes) will be key resources for applied linguists (including established researchers and newcomers to the field) and an invaluable source for research methodology courses. Main directions for the volumes in the series include (but are not limited to): Comprehensive introductions to research methods in Applied Linguistics (authoritative, introductions to domain-non specific methodologies). In-depth explorations of central methodological considerations and developments in specific areas of Applied Linguistics (authoritative treatments of domain-specific methodologies). Critical analyses that develop, expand, or challenge existing and/or novel methodological frameworks. In-depth reflections on central considerations in employing specific methodologies and/or addressing specific questions and problems in Applied Linguistics research. Authoritative accounts that foster improved understandings of the behind the scenes, inside story of the research process in Applied Linguistics.

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Metadata

Venue
Research methods in applied linguistics
Publisher
John Benjamins Publishing Company
Published
2021-09-28
ISSN
2590-096X (ISSN-L)
DOI
10.1075/rmal
OpenAlex
W2020675527
Cited by
2,793
References
51
Type
paratext
Language
en
Open access
closed

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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

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.