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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
Kim, Ahyoung Alicia; Yumsek, Meltem; Kemp, Jason A.; Chapman, Mark; Cook, H. Gary – Language Testing, 2023
English learners (ELs) comprise approximately 10% of kindergarten to Grade 12 students in US public schools, with about 15% of ELs identified as having disabilities. English language proficiency (ELP) assessments must adhere to universal design principles and incorporate universal tools, designed to increase accessibility for all ELs, including…
Descriptors: English (Second Language), Second Language Learning, Second Language Instruction, Students with Disabilities
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
Han, Chao; Xiao, Xiaoyan – Language Testing, 2022
The quality of sign language interpreting (SLI) is a gripping construct among practitioners, educators and researchers, calling for reliable and valid assessment. There has been a diverse array of methods in the extant literature to measure SLI quality, ranging from traditional error analysis to recent rubric scoring. In this study, we want to…
Descriptors: Comparative Analysis, Sign Language, Deaf Interpreting, Evaluators
Aryadoust, Vahid; Foo, Stacy; Ng, Li Ying – Language Testing, 2022
The aim of this study was to investigate how test methods affect listening test takers' performance and cognitive load. Test methods were defined and operationalized as while-listening performance (WLP) and post-listening performance (PLP) formats. To achieve the goal of the study, we examined test takers' (N = 80) brain activity patterns…
Descriptors: Listening Comprehension Tests, Language Tests, Eye Movements, Brain Hemisphere Functions
Mizumoto, Atsushi; Sasao, Yosuke; Webb, Stuart A. – Language Testing, 2019
The knowledge about affix plays a vital role in the development of word knowledge and vocabulary acquisition. A test for diagnostic information on the level of affix knowledge would be useful in order to inform the test users of what learners have gained or lacked in this integral component of vocabulary knowledge. This paper reports the…
Descriptors: Computer Assisted Testing, Adaptive Testing, College Students, English (Second Language)
Isbell, Dan; Winke, Paula – Language Testing, 2019
The American Council on the Teaching of Foreign Languages (ACTFL) oral proficiency interview -- computer (OPIc) testing system represents an ambitious effort in language assessment: Assessing oral proficiency in over a dozen languages, on the same scale, from virtually anywhere at any time. Especially for users in contexts where multiple foreign…
Descriptors: Oral Language, Language Tests, Language Proficiency, Second Language Learning
Kaya, Elif; O'Grady, Stefan; Kalender, Ilker – Language Testing, 2022
Language proficiency testing serves an important function of classifying examinees into different categories of ability. However, misclassification is to some extent inevitable and may have important consequences for stakeholders. Recent research suggests that classification efficacy may be enhanced substantially using computerized adaptive…
Descriptors: Item Response Theory, Test Items, Language Tests, Classification
Llosa, Lorena; Malone, Margaret E. – Language Testing, 2019
Investigating the comparability of students' performance on TOEFL writing tasks and actual academic writing tasks is essential to provide backing for the extrapolation inference in the TOEFL validity argument (Chapelle, Enright, & Jamieson, 2008). This study compared 103 international non-native-English-speaking undergraduate students'…
Descriptors: Computer Assisted Testing, Language Tests, English (Second Language), Second Language Learning
Kang, Okim; Rubin, Don; Kermad, Alyssa – Language Testing, 2019
As a result of the fact that judgments of non-native speech are closely tied to social biases, oral proficiency ratings are susceptible to error because of rater background and social attitudes. In the present study we seek first to estimate the variance attributable to rater background and attitudinal variables on novice raters' assessments of L2…
Descriptors: Evaluators, Second Language Learning, Language Tests, English (Second Language)
Lee, Shinhye; Winke, Paula – Language Testing, 2018
We investigated how young language learners process their responses on and perceive a computer-mediated, timed speaking test. Twenty 8-, 9-, and 10-year-old non-native English-speaking children (NNSs) and eight same-aged, native English-speaking children (NSs) completed seven computerized sample TOEFL® Primary™ speaking test tasks. We investigated…
Descriptors: Elementary School Students, Second Language Learning, Responses, Computer Assisted Testing
Yi, Yeon-Sook – Language Testing, 2017
The present study examines the relative importance of attributes within and across items by applying four cognitive diagnostic assessment models. The current study utilizes the function of the models that can indicate inter-attribute relationships that reflect the response behaviors of examinees to analyze scored test-taker responses to four forms…
Descriptors: Second Language Learning, Reading Comprehension, Listening Comprehension, Language Tests
Xi, Xiaoming; Higgins, Derrick; Zechner, Klaus; Williamson, David – Language Testing, 2012
This paper compares two alternative scoring methods--multiple regression and classification trees--for an automated speech scoring system used in a practice environment. The two methods were evaluated on two criteria: construct representation and empirical performance in predicting human scores. The empirical performance of the two scoring models…
Descriptors: Scoring, Classification, Weighted Scores, Comparative Analysis

Choi, Inn-Chull; Kim, Kyoung Sung; Boo, Jaeyool – Language Testing, 2003
Utilizing the Test of English Proficiency, developed by Seoul National University (TEPS), examined comparability between the paper-based language test and the computer-based language test based on content and construct validation employing content analyses based on corpus linguistic techniques in addition to such statistical analyses as…
Descriptors: Analysis of Variance, Comparative Analysis, Computational Linguistics, Computer Assisted Testing