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Ying Xu; Xiaodong Li; Jin Chen – Language Testing, 2025
This article provides a detailed review of the Computer-based English Listening Speaking Test (CELST) used in Guangdong, China, as part of the National Matriculation English Test (NMET) to assess students' English proficiency. The CELST measures listening and speaking skills as outlined in the "English Curriculum for Senior Middle…
Descriptors: Computer Assisted Testing, English (Second Language), Language Tests, Listening Comprehension Tests
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
Jung Youn, Soo – Language Testing, 2023
As access to smartphones and emerging technologies has become ubiquitous in our daily lives and in language learning, technology-mediated social interaction has become common in teaching and assessing L2 speaking. The changing ecology of L2 spoken interaction provides language educators and testers with opportunities for renewed test design and…
Descriptors: Test Construction, Test Validity, Second Language Learning, Telecommunications
Guzman-Orth, Danielle; Steinberg, Jonathan; Albee, Traci – Language Testing, 2023
Standardizing accessible test design and development to meet students' individual access needs is a complex task. The following study provides one approach to accessible test design and development using participatory design methods with school community members. Participatory research provides opportunities to empower collaborators by co-creating…
Descriptors: English Language Learners, Blindness, Visual Impairments, Testing Accommodations
Latifi, Syed; Gierl, Mark – Language Testing, 2021
An automated essay scoring (AES) program is a software system that uses techniques from corpus and computational linguistics and machine learning to grade essays. In this study, we aimed to describe and evaluate particular language features of Coh-Metrix for a novel AES program that would score junior and senior high school students' essays from…
Descriptors: Writing Evaluation, Computer Assisted Testing, Scoring, Essays
Isbell, Daniel R.; Kremmel, Benjamin – Language Testing, 2020
Administration of high-stakes language proficiency tests has been disrupted in many parts of the world as a result of the 2019 novel coronavirus pandemic. Institutions that rely on test scores have been forced to adapt, and in many cases this means using scores from a different test, or a new online version of an existing test, that can be taken…
Descriptors: Language Tests, High Stakes Tests, Language Proficiency, Second Language Learning
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
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
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
Plakans, Lia; Gebril, Atta; Bilki, Zeynep – Language Testing, 2019
The present study investigates integrated writing assessment performances with regard to the linguistic features of complexity, accuracy, and fluency (CAF). Given the increasing presence of integrated tasks in large-scale and classroom assessments, validity evidence is needed for the claim that their scores reflect targeted language abilities.…
Descriptors: Accuracy, Language Tests, Scores, Writing Evaluation
Barkaoui, Khaled – Language Testing, 2019
This study aimed to examine the sources of variability in the second-language (L2) writing scores of test-takers who repeated an English language proficiency test, the Pearson Test of English (PTE) Academic, multiple times. Examining repeaters' test scores can provide important information concerning factors contributing to "changes" in…
Descriptors: Second Language Learning, Writing Tests, Scores, English (Second Language)
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
Ling, Guangming; Mollaun, Pamela; Xi, Xiaoming – Language Testing, 2014
The scoring of constructed responses may introduce construct-irrelevant factors to a test score and affect its validity and fairness. Fatigue is one of the factors that could negatively affect human performance in general, yet little is known about its effects on a human rater's scoring quality on constructed responses. In this study, we compared…
Descriptors: Evaluators, Fatigue (Biology), Scoring, Performance
Wang, Huan; Choi, Ikkyu; Schmidgall, Jonathan; Bachman, Lyle F. – Language Testing, 2012
This review departs from current practice in reviewing tests in that it employs an "argument-based approach" to test validation to guide the review (e.g. Bachman, 2005; Kane, 2006; Mislevy, Steinberg, & Almond, 2002). Specifically, it follows an approach to test development and use that Bachman and Palmer (2010) call the process of "assessment…
Descriptors: Evidence, Stakeholders, Test Construction, Test Use
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