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https://doi.org/10.1...arrow_drop_down
https://doi.org/10.1075/lllt.3...
Part of book or chapter of book . 2013 . Peer-reviewed
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Cognitive aptitudes for second language learning and the LLAMA Language Aptitude Test

Authors: Gisela Granena;

Cognitive aptitudes for second language learning and the LLAMA Language Aptitude Test

Abstract

The LLAMA Language Aptitude Tests (Meara 2005) are a set of exploratory tests designed to assess aptitude for second language (L2) learning. In its current or earlier version (i.e. the LLAMA or LAT), this battery of four subtests has been used in an increasing number of studies in the second language acquisition field. However, as indicated by Meara, it has not been extensively standardized. This chapter reports on the results of an exploratory validation study that assessed the reliability of the test and explored its underlying structure with a sample of 186 participants. The results showed that internal consistency and stability in time were acceptable. A series of exploratory factor analyses further suggested that the test is measuring two different aptitude dimensions.

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Powered by OpenAIRE graph
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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!
64
Top 10%
Top 10%
Top 10%
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