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Cited by 668

The DOI matches its Crossref record; 24 of the 24 references it cites were found in a registry or an index.

Language testing: the social dimension

Roever, Carsten, McNamara, Tim·2006·International Journal of Applied Linguistics

Abstract

In this book, the authors foreground an aspect of language testing that is usually not much discussed and is frequently considered an “advanced” topic: the social dimension of language testing. They see various social dimensions in language testing. There are socially oriented language tests, i.e., tests which assess learners’ ability to use language in social settings. These are primarily oral proficiency interviews and tests of second language pragmatics. But the authors also understand “social” as “societal” and look at the larger‐scale impact of tests on individual learners or groups of learners by discussing fairness and bias in language testing. They also broaden their view and discuss the role of language testing in a macro‐social context, e.g. as accountability measures in education systems, as gatekeeping instruments for migration, and as tools for constructing and defining social groups. Their discussion is anchored in traditional and more recent views of validity theory.

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Crossref · 10.1111/j.1473-4192.2006.00117.x

Cites

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Metadata

Authors
Roever, C., & McNamara, T.
Venue
International Journal of Applied Linguistics
Publisher
Wiley
Published
2006-06-23
Volume
16
Issue
2
Pages
242-258
ISSN
  • 0802-6106 (ISSN-L)
  • 1473-4192
OpenAlex
W2136945725
Cited by
668
References
24
FWCI
142.68
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Language testing: the social dimension. https://app.cochat.ai/papers/10.1111/j.1473-4192.2006.00117.x
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Roever, C., & McNamara, T. (2006). Language testing: the social dimension. International Journal of Applied Linguistics. https://doi.org/10.1111/j.1473-4192.2006.00117.x

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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.