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image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Language Learningarrow_drop_down
image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
Language Learning
Article . 2018 . Peer-reviewed
License: Wiley Online Library User Agreement
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Cognitive Language Aptitude

Authors: Catherine J. Doughty;

Cognitive Language Aptitude

Abstract

AbstractAfter discussing key issues in the aptitude literature and presenting an updated, multicomponential model of cognitive language aptitude, we consider two analyses from a longitudinal investigation using aptitude to predict success in language learning. Aptitude is conceptualized as a special talent for learning languages and a ceiling on success. In other words, for any given person, when motivation is high, personality facets are aligned, and the learning context is excellent, differences in aptitude determine ultimate attainment. Findings show that the full Modern Language Aptitude Test and the full High‐Level Language Aptitude Battery each predicted adult language learning success outcomes. In addition, different combinations of components drawn from these two (by design) complementary aptitude batteries predicted different aspects of basic and advanced proficiency and did so above and beyond nonaptitude variables, such as childhood exposure, previous language learning, age at the time of training, level of education, and enjoyment.

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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!
73
Top 1%
Top 10%
Top 1%
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