The aim of this study was to develop, for the benefit of both test takers and test score users, enhanced "TOEFL ITP"® test score reports that go beyond the simple numerical scores that are currently reported. To do so, we applied traditional scale anchoring (proficiency scaling) to item difficulty data in order to develop performance…

In this study, we examined how much change in "TOEFL® Primary™" listening and reading scores can be expected in relation to the time interval between test administrations. The test records of 5213 young learners of English (aged 8-13 years) in Japan and Turkey who repeated the tests were analyzed to examine test scores as a function of…

This study examined the influence of prompt characteristics on the averages of all scores given to test taker responses on the TOEFL iBT[TM] integrated Read-Listen-Write (RLW) writing tasks for multiple administrations from 2005 to 2009. In the context of TOEFL iBT RLW tasks, the prompt consists of a reading passage and a lecture. To understand…

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)

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…