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Junlan Pan; Emma Marsden – Language Testing, 2024
"Tests of Aptitude for Language Learning" (TALL) is an openly accessible internet-based battery to measure the multifaceted construct of foreign language aptitude, using language domain-specific instruments and L1-sensitive instructions and stimuli. This brief report introduces the components of this theory-informed battery and…
Descriptors: Language Tests, Aptitude Tests, Second Language Learning, Test Construction
Isaacs, Talia; Hu, Ruolin; Trenkic, Danijela; Varga, Julia – Language Testing, 2023
The COVID-19 pandemic has changed the university admissions and proficiency testing landscape. One change has been the meteoric rise in use of the fully automated Duolingo English Test (DET) for university entrance purposes, offering test-takers a cheaper, shorter, accessible alternative. This rapid response study is the first to investigate the…
Descriptors: Predictive Validity, Educational Technology, Handheld Devices, Language Tests
Cox, Troy L.; Brown, Alan V.; Thompson, Gregory L. – Language Testing, 2023
The rating of proficiency tests that use the Inter-agency Roundtable (ILR) and American Council on the Teaching of Foreign Languages (ACTFL) guidelines claims that each major level is based on hierarchal linguistic functions that require mastery of multidimensional traits in such a way that each level subsumes the levels beneath it. These…
Descriptors: Oral Language, Language Fluency, Scoring, Cues
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
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
Ginther, April; Yan, Xun – Language Testing, 2018
This study examines the predictive validity of the TOEFL iBT with respect to academic achievement as measured by the first-year grade point average (GPA) of Chinese students at Purdue University, a large, public, Research I institution in Indiana, USA. Correlations between GPA, TOEFL iBT total and subsection scores were examined on 1990 mainland…
Descriptors: Correlation, Computer Assisted Testing, Profiles, English (Second Language)
Chapelle, Carol A.; Cotos, Elena; Lee, Jooyoung – Language Testing, 2015
Two examples demonstrate an argument-based approach to validation of diagnostic assessment using automated writing evaluation (AWE). "Criterion"®, was developed by Educational Testing Service to analyze students' papers grammatically, providing sentence-level error feedback. An interpretive argument was developed for its use as part of…
Descriptors: Diagnostic Tests, Writing Evaluation, Automation, Test Validity
Barkaoui, Khaled – Language Testing, 2014
A major concern with computer-based (CB) tests of second-language (L2) writing is that performance on such tests may be influenced by test-taker keyboarding skills. Poor keyboarding skills may force test-takers to focus their attention and cognitive resources on motor activities (i.e., keyboarding) and, consequently, other processes and aspects of…
Descriptors: Language Tests, Computer Assisted Testing, English (Second Language), Second Language Learning
Bax, Stephen – Language Testing, 2013
The research described in this article investigates test takers' cognitive processing while completing onscreen IELTS (International English Language Testing System) reading test items. The research aims, among other things, to contribute to our ability to evaluate the cognitive validity of reading test items (Glaser, 1991; Field, in press). The…
Descriptors: Reading Tests, Eye Movements, Cognitive Processes, Language Tests
Cho, Yeonsuk; Bridgeman, Brent – Language Testing, 2012
This study examined the relationship between scores on the TOEFL Internet-Based Test (TOEFL iBT[R]) and academic performance in higher education, defined here in terms of grade point average (GPA). The academic records for 2594 undergraduate and graduate students were collected from 10 universities in the United States. The data consisted of…
Descriptors: Evidence, Academic Records, Graduate Students, Universities
Bridgeman, Brent; Powers, Donald; Stone, Elizabeth; Mollaun, Pamela – Language Testing, 2012
Scores assigned by trained raters and by an automated scoring system (SpeechRater[TM]) on the speaking section of the TOEFL iBT[TM] were validated against a communicative competence criterion. Specifically, a sample of 555 undergraduate students listened to speech samples from 184 examinees who took the Test of English as a Foreign Language…
Descriptors: Undergraduate Students, Speech Communication, Rating Scales, Scoring