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Download full textAlTameemy, Farooq; Daradkeh, Amer; Alhamod, Abdulhameed – Journal of Education and Learning, 2018
This study reports the outcomes of research investigating the relationship between two variables; percentage of word knowledge in an academic English text and reading comprehension scores the participants got for the same text. The study was conducted at Prince Sattam Bin Abdulaziz University, Preparatory Year Deanship, during the first semester…
Descriptors: English (Second Language), Second Language Learning, Correlation, Reader Text Relationship
Sheehan, Kathleen M. – ETS Research Report Series, 2017
A model-based approach for matching language learners to texts of appropriate difficulty is described. Results are communicated to test takers via a targeted reading range expressed on the reporting scale of an automated text complexity measurement tool (ATCMT). Test takers can use this feedback to select reading materials that are well matched to…
Descriptors: Reading Ability, Second Language Learning, Difficulty Level, Reading Material Selection
Liu, Ou Lydia; Schedl, Mary; Malloy, Jeanne; Kong, Nan – Educational Testing Service, 2009
The TOEFL iBT[TM] has increased the length of the reading passages in the reading section compared to the passages on the TOEFL[R] computer-based test (CBT) to better approximate academic reading in North American universities, resulting in a reduced number of passages in the reading test. A concern arising from this change is whether the decrease…
Descriptors: English (Second Language), Language Tests, Internet, Computer Assisted Testing
Lee, Gabriel A. – Online Submission, 2002
Rauding theory states that two factors, accuracy and rate, explain nearly all the variance in the general reading ability of American schoolchildren (Carver, 1999). Using Structural Equation Modeling (SEM) and regression, this dissertation investigated to what extent the Rauding model could be applied to 92 Japanese university aged young adults…
Descriptors: Foreign Countries, Structural Equation Models, Word Recognition, Reading Ability
