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Košak-Babuder, Milena; Kormos, Judit; Ratajczak, Michael; Pižorn, Karmen – Language Testing, 2019
One of the special arrangements in testing contexts is to allow dyslexic students to listen to the text while they read. In our study, we investigated the effect of read-aloud assistance on young English learners' language comprehension scores. We also examined whether students with dyslexia identification benefit from this assistance differently…
Descriptors: Dyslexia, Identification, Scores, English (Second Language)
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O'Toole, J. M.; King, R. A. R. – Language Testing, 2011
The "cloze" test is one possible investigative instrument for predicting text comprehensibility. Conceptual coding of student replacement of deleted words has been considered to be more valid than exact coding, partly because conceptual coding seemed fairer to poorer readers. This paper reports a quantitative study of 447 Australian…
Descriptors: Cloze Procedure, Test Results, Language Tests, Reading Comprehension
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Filipi, Anna – Language Testing, 2012
The Assessment of Language Competence (ALC) certificates is an annual, international testing program developed by the Australian Council for Educational Research to test the listening and reading comprehension skills of lower to middle year levels of secondary school. The tests are developed for three levels in French, German, Italian and…
Descriptors: Listening Comprehension Tests, Item Response Theory, Statistical Analysis, Foreign Countries
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Perkins, Kyle – Language Testing, 1992
The effect of five types of topical structure (including initial sentence element, mood subject, and surface subject) on the item difficulty of reading comprehension questions was investigated. Results indicated differences in the item difficulty of questions according to the type of topical structure on which the questions were based. (21…
Descriptors: Difficulty Level, English (Second Language), Language Tests, Models
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Perkins, Kyle; And Others – Language Testing, 1995
This article reports the results of using a three-layer back propagation artificial neural network to predict item difficulty in a reading comprehension test. Three classes of variables were examined: text structure, propositional analysis, and cognitive demand. Results demonstrate that the networks can consistently predict item difficulty. (JL)
Descriptors: Artificial Intelligence, Difficulty Level, English (Second Language), Language Tests
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Qian, D.D.; Schedl, M. – Language Testing, 2004
The central purpose of this study was to empirically evaluate an in-depth vocabulary knowledge measure in the context of developing the new TOEFL test. The study was carried out with a sample of 207 international students attending an intensive English as a second language (ESL) program in a major Canadian university, in order to determine whether…
Descriptors: Comparative Analysis, Difficulty Level, Vocabulary Development, English (Second Language)
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Alderson, J. Charles; Urquhart, A. H. – Language Testing, 1985
Reviews earlier studies of the effect of student background knowledge on reading comprehension and then reports on a third investigation into the same effect. Concludes that the test results obtained in the study can be accounted for in terms of an interaction between background knowledge and linguistic proficiency. (Author/SED)
Descriptors: Cultural Background, Difficulty Level, Educational Background, English for Special Purposes