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Tia M. Fechter; Heeyeon Yoon – Language Testing, 2024
This study evaluated the efficacy of two proposed methods in an operational standard-setting study conducted for a high-stakes language proficiency test of the U.S. government. The goal was to seek low-cost modifications to the existing Yes/No Angoff method to increase the validity and reliability of the recommended cut scores using a convergent…
Descriptors: Standard Setting, Language Proficiency, Language Tests, Evaluation Methods
Ute Knoch; Jason Fan – Language Testing, 2024
While several test concordance tables have been published, the research underpinning such tables has rarely been examined in detail. This study aimed to survey the publically available studies or documentation underpinning the test concordance tables of the providers of four major international language tests, all accepted by the Australian…
Descriptors: Language Tests, English, Test Validity, Item Analysis
Emma Bruce; Karen Dunn; Tony Clark – Language Testing, 2025
Several high-stakes English proficiency tests including but not limited to IELTS, PTE Academic, and TOEFL iBT recommend a 2-year time limit on validity for score usage. Although this timeframe provides a useful rule-of-thumb for the recency of testing, it can have far-reaching consequences. In response to stakeholder queries around IELTS validity…
Descriptors: High Stakes Tests, Language Tests, Test Validity, Scores
Development of the American Sign Language Fingerspelling and Numbers Comprehension Test (ASL FaN-CT)
Corrine Occhino; Ryan Lidster; Leah C. Geer; Jason Listman; Peter C. Hauser – Language Testing, 2024
We describe the development and initial validation of the "ASL Fingerspelling and Number Comprehension Test" (ASL FaN-CT), a test of recognition proficiency for fingerspelled words in American Sign Language (ASL). Despite the relative frequency of fingerspelling in ASL discourse, learners commonly struggle to produce and perceive…
Descriptors: Language Tests, Test Construction, Finger Spelling, Test Validity
Yunwen Su; Sun-Young Shin – Language Testing, 2024
Rating scales that language testers design should be tailored to the specific test purpose and score use as well as reflect the target construct. Researchers have long argued for the value of data-driven scales for classroom performance assessment, because they are specific to pedagogical tasks and objectives, have rich descriptors to offer useful…
Descriptors: Rating Scales, Language Tests, Test Construction, Performance Based Assessment
Ramsey L. Cardwell; Steven W. Nydick; J.R. Lockwood; Alina A. von Davier – Language Testing, 2024
Applicants must often demonstrate adequate English proficiency when applying to postsecondary institutions by taking an English language proficiency test, such as the TOEFL iBT, IELTS Academic, or Duolingo English Test (DET). Concordance tables aim to provide equivalent scores across multiple assessments, helping admissions officers to make fair…
Descriptors: Second Language Learning, English (Second Language), Language Tests, Language Proficiency
Thi My Hang Nguyen; Peter Gu; Averil Coxhead – Language Testing, 2024
Despite extensive research on assessing collocational knowledge, valid measures of academic collocations remain elusive. With the present study, we employ an argument-based approach to validate two Academic Collocation Tests (ACTs) that assess the ability to recognize and produce academic collocations (i.e., two-word units such as "key…
Descriptors: Foreign Countries, College Students, College Entrance Examinations, English (Second Language)
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
Daniel R. Isbell; Dustin Crowther; Hitoshi Nishizawa – Language Testing, 2024
The extrapolation of test scores to a target domain - that is, association between test performances and relevant real-world outcomes - is critical to valid score interpretation and use. This study examined the relationship between Duolingo English Test (DET) speaking scores and university stakeholders' evaluation of DET speaking performances. A…
Descriptors: Language Proficiency, Language Tests, Higher Education, Stakeholders
Jeffrey Stewart; Henrik Gyllstad; Christopher Nicklin; Stuart McLean – Language Testing, 2024
The purpose of this paper is to (a) establish whether meaning recall and meaning recognition item formats test psychometrically distinct constructs of vocabulary knowledge which measure separate skills, and, if so, (b) determine whether each construct possesses unique properties predictive of L2 reading proficiency. Factor analyses and…
Descriptors: Vocabulary Development, Psychometrics, Language Tests, Recall (Psychology)
Amber Dudley; Emma Marsden; Giulia Bovolenta – Language Testing, 2024
Vocabulary knowledge strongly predicts second language reading, listening, writing, and speaking. Yet, few tests have been developed to assess vocabulary knowledge in French. The primary aim of this pilot study was to design and initially validate the Context-Aligned Two Thousand Test (CA-TTT), following open research practices. The CA-TTT is a…
Descriptors: French, Vocabulary Development, Secondary School Students, Language Tests
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
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
Liu, Tingting; Aryadoust, Vahid; Foo, Stacy – Language Testing, 2022
This study evaluated the validity of the Michigan English Test (MET) Listening Section by investigating its underlying factor structure and the replicability of its factor structure across multiple test forms. Data from 3255 test takers across four forms of the MET Listening Section were used. To investigate the factor structure, each form was…
Descriptors: Factor Structure, Language Tests, Second Language Learning, Second Language Instruction
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