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- W2066703081 abstract "Abstract This research compared the retention of nouns, adjectives and verbs of sentences. A model of the structure underlying the retention of sentences and in which deep structure constituent propositions are hierarchically related, was used to make predictions concerning the retention of these word classes. The model was not supported by the data and it was determined that latencies to recognize the words of a previously presented sentence were the same for all classes of words. This result indicated that for recognition (but not necessarily for other memory tasks), each word of a sentence is seperately or equally accessible (as long as inter-word imagery is the same). However, a further experiment showed that, although word class is not a variable, the image-arousing capacity of a word is. Latencies and error rates were much lower for high-imagery words than for low-imagery ones. The findings on error rates in recognizing words were interesting and pointed to a different model where the meaning representations and syntatic functions of words have an active role in sentence retention." @default.
- W2066703081 created "2016-06-24" @default.
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- W2066703081 date "1978-05-01" @default.
- W2066703081 modified "2023-09-27" @default.
- W2066703081 title "The retention of nouns, adjectives, and verbs of sentences" @default.
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- W2066703081 doi "https://doi.org/10.1016/0001-6918(78)90028-8" @default.
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