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Showing 1 to 15 of 26 results Save | Export
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Read, John – Language Testing, 2023
Published work on vocabulary assessment has grown substantially in the last 10 years, but it is still somewhat outside the mainstream of the field. There has been a recent call for those developing vocabulary tests to apply professional standards to their work, especially in validating their instruments for specified purposes before releasing them…
Descriptors: Language Tests, Vocabulary Development, Second Language Learning, Test Format
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Hitoshi Nishizawa – Language Testing, 2024
Corpus-based studies have offered the domain definition inference for test developers. Yet, corpus-based studies on temporal fluency measures (e.g., speech rate) have been limited, especially in the context of academic lecture settings. This made it difficult for test developers to sample representative fluency features to create authentic…
Descriptors: High Stakes Tests, Language Tests, Second Language Learning, Computer Assisted Testing
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Haerim Hwang; Hyunwoo Kim – Language Testing, 2024
Given the lack of computational tools available for assessing second language (L2) production in Korean, this study introduces a novel automated tool called the Korean Syntactic Complexity Analyzer (KOSCA) for measuring syntactic complexity in L2 Korean production. As an open-source graphic user interface (GUI) developed in Python, KOSCA provides…
Descriptors: Korean, Natural Language Processing, Syntax, Computer Graphics
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Aryadoust, Vahid – Language Testing, 2023
Construct validity and building validity arguments are some of the main challenges facing the language assessment community. The notion of construct validity and validity arguments arose from research in psychological assessment and developed into the gold standard of validation/validity research in language assessment. At a theoretical level,…
Descriptors: Testing Problems, Test Validity, Second Language Learning, Construct Validity
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Batty, Aaron Olaf; Haug, Tobias; Ebling, Sarah; Tissi, Katja; Sidler-Miserez, Sandra – Language Testing, 2023
Sign languages present particular challenges to language assessors in relation to variation in signs, weakly defined citation forms, and a general lack of standard-setting work even in long-established measures of productive sign proficiency. The present article addresses and explores these issues via a mixed-methods study of a human-rated…
Descriptors: Sign Language, Language Tests, Standard Setting, Barriers
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Hung Tan Ha; Duyen Thi Bich Nguyen; Tim Stoeckel – Language Testing, 2024
Word frequency has a long history of being considered the most important predictor of word difficulty and has served as a guideline for several aspects of second language vocabulary teaching, learning, and assessment. However, recent empirical research has challenged the supremacy of frequency as a predictor of word difficulty. Accordingly,…
Descriptors: Word Frequency, Vocabulary Skills, Second Language Learning, Second Language Instruction
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Vandeweerd, Nathan; Housen, Alex; Paquot, Magali – Language Testing, 2023
This study investigates whether re-thinking the separation of lexis and grammar in language testing could lead to more valid inferences about proficiency across modes. As argued by Römer, typical scoring rubrics ignore important information about proficiency encoded at the lexis-grammar interface, in particular how the co-selection of lexical and…
Descriptors: French, Language Tests, Grammar, Second Language Learning
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Kyle, Kristopher; Eguchi, Masaki; Choe, Ann Tai; LaFlair, Geoff – Language Testing, 2022
In the realm of language proficiency assessments, the domain description inference and the extrapolation inference are key components of a validity argument. Biber et al.'s description of the lexicogrammatical features of the spoken and written registers in the T2K-SWAL corpus has served as support for the TOEFL iBT test's domain description and…
Descriptors: Language Variation, Written Language, Speech Communication, Inferences
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Yan, Xun; Kim, Ha Ram; Kim, Ji Young – Language Testing, 2021
Speech fluency has been extensively researched as a core construct for second language (L2) speaking assessment. Despite the broad consensus on its multifaceted nature, few researchers have empirically explored the dimensionality of this construct. Operationalizations of fluency vary across research and practice, using both holistic and…
Descriptors: Language Fluency, Language Tests, Accuracy, Speech Communication
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Gyllstad, Henrik; McLean, Stuart; Stewart, Jeffrey – Language Testing, 2021
The last three decades have seen an increase of tests aimed at measuring an individual's vocabulary level or size. The target words used in these tests are typically sampled from word frequency lists, which are in turn based on language corpora. Conventionally, test developers sample items from frequency bands of 1000 words; different tests employ…
Descriptors: Vocabulary Development, Sample Size, Language Tests, Test Items
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Xi, Xiaoming – Language Testing, 2017
In recent years, continuing advances in technology have increased the capacity to automate the extraction of a range of linguistic features of texts and thus have provided the impetus for the substantial growth of corpus linguistics. While corpus linguistic tools and methods have been used extensively in second language learning research, they…
Descriptors: Computational Linguistics, Second Language Learning, Language Tests, Evaluation Methods
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Wilsenach, Carien; Schaefer, Maxine – Language Testing, 2022
Multilingualism in education is encouraged in South Africa, and children are expected to become bilingual and biliterate during the early primary grades. Much focus has been placed on measuring literacy in children's first language, often the medium of instruction (MOI), and English, the language typically used as MOI from fourth grade. However,…
Descriptors: Test Construction, Test Validity, Reading Tests, Reading Comprehension
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Egbert, Jesse – Language Testing, 2017
The use of corpora and corpus linguistic methods in language testing research is increasing at an accelerated pace. The growing body of language testing research that uses corpus linguistic data is a testament to their utility in test development and validation. Although there are many reasons to be optimistic about the future of using corpus data…
Descriptors: Language Tests, Second Language Learning, Computational Linguistics, Best Practices
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McLean, Stuart; Stewart, Jeffrey; Batty, Aaron Olaf – Language Testing, 2020
Vocabulary's relationship to reading proficiency is frequently cited as a justification for the assessment of L2 written receptive vocabulary knowledge. However, to date, there has been relatively little research regarding which modalities of vocabulary knowledge have the strongest correlations to reading proficiency, and observed differences have…
Descriptors: Prediction, Reading Tests, Language Proficiency, Test Items
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Lu, Xiaofei – Language Testing, 2017
Research investigating corpora of English learners' language raises new questions about how syntactic complexity is defined theoretically and operationally for second language (L2) writing assessment. I show that syntactic complexity is important in construct definitions and L2 writing rating scales as well as in L2 writing research. I describe…
Descriptors: Syntax, Computational Linguistics, Second Language Learning, Writing Research
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