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Research Methods in Applied Linguistics / edited by Shaofeng Li.

Elsevier Freedom Collection Available from 04/01/2022 volume: 1 issue: 1. Available online

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Format:
Journal/Periodical
Contributor:
Li, Shaofeng, editor.
Language:
English
Subjects (All):
Applied linguistics--Research--Methodology.
Applied linguistics.
Applied linguistics--Study and teaching.
Physical Description:
1 online resource
Three times a year
Volume 1, Issue 1, April 2022.
Place of Publication:
Amsterdam : Elsevier, 2022.
Summary:
Research Methods in Applied Linguistics is the first and only journal devoted exclusively to research methods in applied linguistics, a discipline that explores real-world language-related issues and phenomena. Core areas of applied linguistics include bilingualism and multilingualism, computer-assisted language learning, conversation analysis, corpus linguistics, critical studies, discourse analysis, forensic linguistics, identity, language assessment, language policy and planning, language and migration, literacy, pragmatics, psycholinguistics, raciolinguistics, second language acquisition, sociolinguistics, teacher education, and translation and interpreting. The journal takes a domain-specific approach and publishes articles investigating current and new methodologies that have been developed for and/or are incorporated into the discipline of applied linguistics and its subdomains. The journal does not exclude submissions investigating methods and tools that are also applicable to, or introduced from, other disciplines, but they must be examined from the perspective of applied linguistics and for the purpose of solving problems in this discipline. The scope of the journal encompasses all aspects of research methods, including research design, data collection, data coding, data analysis, and reporting practices. The journal welcomes research from all paradigms, be they quantitative, qualitative, or mixed, and methods of all kinds, whether they are utilized to observe the occurrence of a phenomenon or behavior, explore correlations, or examine causal relationships.
Notes:
Description based on publisher supplied metadata and other sources.
ISSN:
2772-7661

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