Sentence examples for word reading accuracy from inspiring English sources

Findings suggest different trends for fluency and accuracy measures, with Hebrew-speaking children performing higher on word reading accuracy, and significantly lower on reading fluency.

A repeated-measures ANOVA on word reading accuracy showed a significant main effect of time [ F 1,8) = 6.9, P < 0.05; average trained word accuracy before training = 91.0%; at t3 = 93.3%], but the critical interaction of time with word list was not significant; both trained and untrained word reading accuracy improved after training.

Kirby et al. (2012) reported that independent of verbal and nonverbal IQ and phonological awareness, morphological awareness was a significant predictor of word reading accuracy and speed as well as reading comprehension in first through third graders.

This did not reveal any indications of reading difficulties in any of the participants: Word reading accuracy was at ceiling levels (range 98.8 100%) and oral text reading at an unpressured ("read at your own pace") task ranged from 151 to 189 wpm, which is within 2 standard deviations of a normal range reported by Lewandowski et al. (2003).

Word (Word Identification) and nonword (Word Attack) reading accuracy was measured with the Woodcock Johnson III Tests of Achievement (WJ-III) [25].

In this study we conducted a within and between comparison of word reading fluency and accuracy of English- and Hebrew-speaking children in fourth grade.

These children also had more problems with reading continuous text than with single-word tests of reading (accuracy and rate) and spelling, although here too, their problems were mild.

This study expanded on the Carlisle and Stone (2005) study by examining accuracy of word reading by looking at words presented in context versus words presented in isolation.

After training, for word reading, the network achieved an accuracy of 99.97 percent, which was slightly better than the performance of Simulation 2 because of the contribution from the semantic pathway, which allowed the network to distinguish the homographs.

Their patient (Patient PW) showed improved reading accuracy for trained words but not untrained words.

In more typical alphabetic orthographies with transparent grapheme-phoneme correspondences, reading accuracy for short words and pseudowords approaches ceiling after a couple of months of instruction [24], [25].