Gist Inference Scores Predict Cloze Comprehension “In Your Own Words” for Native, Not ESL Readers

  • SSCI
  • PUBMED
作者: Christopher R. Wolfe*;Mitchell Dandignac;Cynthia Wang;Savannah R. Lowe
通讯作者: Christopher R. Wolfe
作者机构: Department of Psychology, Miami University
Department of Psychology, Miami University
Department of Psychology, Miami University
Department of Psychology, Miami University
通讯机构: Department of Psychology, Miami University
语种: 英文
期刊: Health Communication
ISSN: 1041-0236
年: 2022
卷: 37
期: 14
页码: 1757-1764
摘要: Three patient education texts from the National Cancer Institute (NCI) were subjected to a Coh-Metrix analysis, then further analyzed to obtain Gist Inference Scores (GIS), a new measure of the likelihood that readers will make appropriate inferences about a text’s bottom-line meaning. In the GIS formula, the Coh-Metrix psycholinguistic variables referential cohesion, deep cohesion, and latent semantic analysis (LSA) verb overlap increase GIS because cohesive texts that describe related actions are likely to induce gist representations. The Coh-Metrix variables word concreteness, imagability for content words, and hypernymy for nouns and verbs are negatively weighted bec...

文件格式:
导出字段:
导出
关闭