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TESOL Quarterly
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TESOL Quarterly
Article . 2017 . Peer-reviewed
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Making Sense of Learner Performance on Tests of Productive Vocabulary Knowledge

Authors: Fitzpatrick, Tess; Clenton, Jon;

Making Sense of Learner Performance on Tests of Productive Vocabulary Knowledge

Abstract

This article offers a solution to a significant problem for teachers and researchers of language learning that confounds their interpretations and expectations of test data: The apparent simplicity of tests of vocabulary knowledge masks the complexity of the constructs they claim to measure. The authors first scrutinise task elements in two widely cited productive vocabulary measures, Lex30 (Meara & Fitzpatrick, 2000) and the Lexical Frequency Profile (LFP; Laufer & Nation, 1995), to gain a more precise understanding of the relationship between test performance and learner knowledge. Next, in three empirical studies (N = 80, 80, 100) they compare second language learners’ performance on Lex30, as the static point of reference, with LFP and with two new tests designed to investigate specific elements of the vocabulary test tasks. Correlation analyses indicate systematic differences in the tests’ capacity to capture information about the quality of learners’ word knowledge and the size of their vocabulary resource. Using the findings from this empirical work, the authors formulate a model of vocabulary capture onto which test tasks can be mapped. They demonstrate how capturing key elements of the relationship between test scores and lexical competence can guide teachers and researchers in applying and interpreting vocabulary tests.

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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!
20
Top 10%
Top 10%
Top 10%
Green
bronze