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Bringing the Theoretical Domains Framework into Applied Linguistics: A worked example

Authors: Jim McKinley; Tetsuo Harada; Fumiyo Nakatsuhara; Mohd Ridhwan Abdullah; Chihiro Inoue;

Bringing the Theoretical Domains Framework into Applied Linguistics: A worked example

Abstract

The Theoretical Domains Framework (TDF) is introduced in this paper to applied linguistics research methods, working through its operationalisation using higher-education leadership interview discourse. Semi-structured interviews with senior stakeholders from one university each in Malaysia and Japan were analysed through a two-stage procedure: an initial inductive thematic analysis followed by systematic mapping of participant statements onto the 14 TDF domains within the COM-B dimensions of capability, opportunity, and motivation. The paper documents practical decisions about domain boundaries, instances of double-domain alignment, and the treatment of segments judged too speculative to code, focusing on how behavioural constructs can be integrated critically with qualitative language data. The paper suggests the framework’s value as a methods-first bridge for analysing a wide range of discourse in applied linguistics, providing transparent, adaptable coding steps for studies of policy, practice, identity, and digital change across varied contexts.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
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