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Kim, Minkyung; Nam, Yunjung; Crossley, Scott A. – Language Testing, 2022
This study investigated the effects of working memory capacity (WMC), first language (L1) syllogistic inferencing ability, and second-language (L2) linguistic knowledge on L2 listening comprehension for passages of different lengths. Participants were 193 Korean ninth-grade learners of English. A path analysis was used to examine multivariate…
Descriptors: Native Language, Short Term Memory, Listening Comprehension, Second Language Learning
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Kyle, Kristopher; Crossley, Scott A.; McNamara, Danielle S. – Language Testing, 2016
This study explores the construct validity of speaking tasks included in the TOEFL iBT (e.g., integrated and independent speaking tasks). Specifically, advanced natural language processing (NLP) tools, MANOVA difference statistics, and discriminant function analyses (DFA) are used to assess the degree to which and in what ways responses to these…
Descriptors: Construct Validity, Natural Language Processing, Speech Skills, Speech Acts
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Crossley, Scott A.; Salsbury, Tom; McNamara, Danielle S. – Language Testing, 2012
This study explores how second language (L2) texts written by learners at various proficiency levels can be classified using computational indices that characterize lexical competence. For this study, 100 writing samples taken from 100 L2 learners were analyzed using lexical indices reported by the computational tool Coh-Metrix. The L2 writing…
Descriptors: Semantics, Familiarity, Discriminant Analysis, Vocabulary Development
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Crossley, Scott A.; Salsbury, Tom; McNamara, Danielle S.; Jarvis, Scott – Language Testing, 2011
The authors present a model of lexical proficiency based on lexical indices related to vocabulary size, depth of lexical knowledge, and accessibility to core lexical items. The lexical indices used in this study come from the computational tool Coh-Metrix and include word length scores, lexical diversity values, word frequency counts, hypernymy…
Descriptors: Semantics, Familiarity, Second Language Learning, Word Frequency