514
Views
1
CrossRef citations to date
0
Altmetric
Articles

Language competence assessment in minoritised language revitalisation contexts. The case of Basque

&
Pages 629-640 | Received 04 Sep 2017, Accepted 09 Dec 2017, Published online: 04 Jan 2018
 

ABSTRACT

In minority language revitalisation contexts, the determination of proficiency in the minoritised language is a sensitive social issue that affects citizens regardless of their linguistic background. From a psychometric perspective, since the target population is heterogeneous, competence assessment instruments must ensure score validity for each linguistic subgroup. Focused on the Basque Autonomous Community (Spain), in this paper, we introduce the Basque Competence Assessment examination (known by its acronym EGA) and assess the factorial invariance of the writing section using a structural equation modelling approach. Data were collected from 2554 candidates classified into three groups according to mother tongue: Spanish, Basque, and Basque/Spanish. The results show the near invariance of the writing section of the EGA and that the highest performance was found in the Basque mother-tongue examinees. Results also reinforce the importance of validation analysis in language diversity contexts to guarantee fairness in test-based decisions.

Disclosure statement

No potential conflict of interest was reported by the authors.

Additional information

Funding

This work was supported by Euskal Herriko Unibertsitatea: [Grant Number GUI15/24, PSI2014-54020, PSI2017-82539].

Log in via your institution

Log in to Taylor & Francis Online

PDF download + Online access

  • 48 hours access to article PDF & online version
  • Article PDF can be downloaded
  • Article PDF can be printed
USD 53.00 Add to cart

Issue Purchase

  • 30 days online access to complete issue
  • Article PDFs can be downloaded
  • Article PDFs can be printed
USD 265.00 Add to cart

* Local tax will be added as applicable

Related Research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.