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Sasayama, Shoko; Garcia Gomez, Pablo; Norris, John M. – ETS Research Report Series, 2021
This report describes the development of efficient second language (L2) writing assessment tasks designed specifically for low-proficiency learners of English to be included in the "TOEFL® Essentials"™ test. Based on the can-do descriptors of the Common European Framework of Reference for Languages for the A1 through B1 levels of…
Descriptors: English (Second Language), Language Tests, Second Language Learning, Writing Tests
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Loukina, Anastassia; Zechner, Klaus; Yoon, Su-Youn; Zhang, Mo; Tao, Jidong; Wang, Xinhao; Lee, Chong Min; Mulholland, Matthew – ETS Research Report Series, 2017
This report presents an overview of the "SpeechRater"? automated scoring engine model building and evaluation process for several item types with a focus on a low-English-proficiency test-taker population. We discuss each stage of speech scoring, including automatic speech recognition, filtering models for nonscorable responses, and…
Descriptors: Automation, Scoring, Speech Tests, Test Items
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Kyle, Kristopher; Choe, Ann Tai; Eguchi, Masaki; LaFlair, Geoff; Ziegler, Nicole – ETS Research Report Series, 2021
A key piece of a validity argument for a language assessment tool is clear overlap between assessment tasks and the target language use (TLU) domain (i.e., the domain description inference). The TOEFL 2000 Spoken and Written Academic Language (T2K-SWAL) corpus, which represents a variety of academic registers and disciplines in traditional…
Descriptors: Comparative Analysis, Second Language Learning, English (Second Language), Language Tests
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Haberman, Shelby J.; Liu, Yang; Lee, Yi-Hsuan – ETS Research Report Series, 2019
Distractor analyses are routinely conducted in educational assessments with multiple-choice items. In this research report, we focus on three item response models for distractors: (a) the traditional nominal response (NR) model, (b) a combination of a two-parameter logistic model for item scores and a NR model for selections of incorrect…
Descriptors: Multiple Choice Tests, Scores, Test Reliability, High Stakes Tests
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Papageorgiou, Spiros; Wu, Sha; Hsieh, Ching-Ni; Tannenbaum, Richard J.; Cheng, Mengmeng – ETS Research Report Series, 2019
The past decade has seen an emerging interest in mapping (aligning or linking) test scores to language proficiency levels of external performance scales or frameworks, such as the Common European Framework of Reference (CEFR), as well as locally developed frameworks, such as China's Standards of English Language Ability (CSE). Such alignment is…
Descriptors: English (Second Language), Language Tests, Second Language Learning, Computer Assisted Testing
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Attali, Yigal; Sinharay, Sandip – ETS Research Report Series, 2015
The "e-rater"® automated essay scoring system is used operationally in the scoring of "TOEFL iBT"® independent and integrated tasks. In this study we explored the psychometric added value of reporting four trait scores for each of these two tasks, beyond the total e-rater score.The four trait scores are word choice, grammatical…
Descriptors: Writing Tests, Scores, Language Tests, English (Second Language)
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Chen, Jing; Sheehan, Kathleen M. – ETS Research Report Series, 2015
The "TOEFL"® family of assessments includes the "TOEFL"® Primary"™, "TOEFL Junior"®, and "TOEFL iBT"® tests. The linguistic complexity of stimulus passages in the reading sections of the TOEFL family of assessments is expected to differ across the test levels. This study evaluates the linguistic…
Descriptors: Language Tests, Second Language Learning, English (Second Language), Reading Comprehension
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Barkaoui, Khaled – ETS Research Report Series, 2015
This study aimed to describe the writing activities that test takers engage in when responding to the writing tasks in the "TOEFL iBT"[superscript R] test and to examine the effects of task type and test-taker English language proficiency (ELP) and keyboarding skills on the frequency and distribution of these activities. Each of 22 test…
Descriptors: Second Language Learning, Language Tests, English (Second Language), Writing Instruction
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Ginther, April; Elder, Catherine – ETS Research Report Series, 2014
In line with expanded conceptualizations of validity that encompass the interpretations and uses of test scores in particular policy contexts, this report presents results of a comparative analysis of institutional understandings and uses of 3 international English proficiency tests widely used for tertiary selection--the "TOEFL iBT"®…
Descriptors: Comparative Analysis, English (Second Language), Second Language Learning, Questionnaires
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De Felice, Rachele; Deane, Paul – ETS Research Report Series, 2012
This study proposes an approach to automatically score the "TOEIC"® Writing e-mail task. We focus on one component of the scoring rubric, which notes whether the test-takers have used particular speech acts such as requests, orders, or commitments. We developed a computational model for automated speech act identification and tested it…
Descriptors: Speech Acts, Electronic Mail, Language Tests, Second Language Learning
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Zhang, Mo; Breyer, F. Jay; Lorenz, Florian – ETS Research Report Series, 2013
In this research, we investigated the suitability of implementing "e-rater"® automated essay scoring in a high-stakes large-scale English language testing program. We examined the effectiveness of generic scoring and 2 variants of prompt-based scoring approaches. Effectiveness was evaluated on a number of dimensions, including agreement…
Descriptors: Computer Assisted Testing, Computer Software, Scoring, Language Tests
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Young, John W.; Morgan, Rick; Rybinski, Paul; Steinberg, Jonathan; Wang, Yuan – ETS Research Report Series, 2013
The "TOEFL Junior"® Standard Test is an assessment that measures the degree to which middle school-aged students learning English as a second language have attained proficiency in the academic and social English skills representative of English-medium instructional environments. The assessment measures skills in three areas: listening…
Descriptors: Item Response Theory, Test Items, Language Tests, Second Language Learning
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Liao, Chi-Wen; Livingston, Samuel A. – ETS Research Report Series, 2008
Randomly equivalent forms (REF) of tests in listening and reading for nonnative speakers of English were created by stratified random assignment of items to forms, stratifying on item content and predicted difficulty. The study included 50 replications of the procedure for each test. Each replication generated 2 REFs. The equivalence of those 2…
Descriptors: Equated Scores, Item Analysis, Test Items, Difficulty Level
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Deane, Paul; Gurevich, Olga – ETS Research Report Series, 2008
For many purposes, it is useful to collect a corpus of texts all produced to the same stimulus, whether to measure performance (as on a test) or to test hypotheses about population differences. This paper examines several methods for measuring similarities in phrasing and content and demonstrates that these methods can be used to identify…
Descriptors: Test Content, Computational Linguistics, Native Speakers, Writing Tests
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Attali, Yigal – ETS Research Report Series, 2007
This study examined the construct validity of the "e-rater"® automated essay scoring engine as an alternative to human scoring in the context of TOEFL® essay writing. Analyses were based on a sample of students who repeated the TOEFL within a short time period. Two "e-rater" scores were investigated in this study, the first…
Descriptors: Construct Validity, Computer Assisted Testing, Scoring, English (Second Language)
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