Describes a study which submitted data from a multiple-choice English as a second language reading comprehension test to classical test theory item analysis and latent trait measurement. The purpose was to identify weak items and to compare the number of weak items indicated by the two different approaches. (SED)

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…

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)