Sentence examples for both words and nonwords from inspiring English sources

An aspect of the results portrayed in Figure 2 that may appear puzzling at first is that the observed response to the stimuli was generally a deactivation compared to baseline, for both words and nonwords.

Reading was measured at age 7 using the Test of Word Reading Efficiency (TOWRE; Torgesen, Wagner, & Rashotte, 1999), which assesses accuracy and fluency of reading both words and nonwords.

A more recent fMRI study by Schurz et al. (2010) also showed a substantial length effect on activation for both words and nonwords in the left occipital cortex and identified the VWFA as exhibiting an interaction of length by lexicality.

However, a subsequent study conducted by Frederiksen and Kroll (1976) only obtained the equivalent word-length effects for both words and nonwords in naming; no effect was observed in the lexical decision task.

However, the problem is that there is no objective way to tell whether a set of materials is a good selection; characteristics of both words and nonwords influence lexical decision performance in a complex and not fully understood way.

Two recent studies provide just such data: An MEG study conducted by Wydell et al. (2003) found early length effects for both words and nonwords in the occipital cortex.

In the nonword prime condition, by mixing dominant and non-dominant stress items, the proportion of stress errors considerably increased, partially replicating the effects of Experiments 1 and 2. In particular, the manipulation of mixing the stress patterns of both word and nonword primes yielded both "regularizations" and "irregularizations".

Performance on the written TYN Test requires knowledge of spelling and word meaning, and it is not clear the extent to which the poorer performance on both the words and nonwords (the latter conforming to English spelling rules) can be reduced to spelling difficulties.

Both Simulation 1 and Simulation 2 could name words and nonwords correctly.

Both 3rd and 6th graders showed better performance for words and nonwords that were comprised of connected letters than to words and nonwords that were comprised of unconnected letters.

The results for the LexTALE showed substantial correlations that were, furthermore, of almost equal size for words and nonwords (words, r =.77; nonwords, r =.76; both ps <.001).