A new metric, Word Maturity, estimates the development by individual students of knowledge of every word in a large corpus. The metric is constructed by Latent Semantic Analysis modeling of word knowledge as a function of the reading that a simulated learner has done and is calibrated by its developing closeness in information content to that of a…

Uses Latent Semantic Analysis (LSA) to predict how much readers would learn from texts based on the estimated conceptual match between their topic knowledge and the text information. Shows a nonmonotonic relationship in which learning was greatest for texts that were neither too easy nor too difficult. Finds LSA was as effective at predicting…

"The Critical Word Factor," based on word recognition demands of texts, is a measure of text difficulty designed specifically for texts used by beginning readers. The measure is a function of the number of new, unique words per 100 running words of text that fall outside a designated curriculum. The authors investigated the validity of the…

Investigates patterns in readers' ratings of imagery, affect, and story structure in selected short stories read in a college classroom. Concludes that texts constrain the renditions of individual readers when they read for enjoyment. Finds that imagery appears to mediate affective associations of text viewed as structurally important. (MM)

The authors present results of a generalizability study of running record assessment. They conducted 2 decision studies to ascertain the number of raters and passages necessary to obtain a reliable estimate of a student's reading ability on the basis of a running record assessment. Ten teachers completed running record assessments of 10…