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Adults With Poor Reading Skills and the Inferences They Make During Reading

机译:阅读技能较差的成年人及其在阅读过程中的推断

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Millions of U.S. adults lack the literacy skills needed for most living-wage jobs. We investigated one particular comprehension process for these adults: generating predictive inferences. If a sentence says that someone falls froma 14th-story roof, a reader should infer almost certain death. On any test of comprehension, there are two dependent variables: the speed of the response to a test item and accuracy. To address both simultaneously, we used a decision model that separates how much information an individual understands from a text and the individual's speed/accuracy trade-off settings. We found that adult literacy students do differentiate between predictive inference sentences and control sentences, a finding that illustrates how a decision-making model combined with tests of particular comprehension processes can lead to further understanding of low-literacy adults' reading skills.
机译:数百万的美国成年人缺乏大多数谋生工作所需的读写能力。我们针对这些成年人调查了一种特殊的理解过程:生成预测性推论。如果一句话说某人从14层高的屋顶上掉下来,读者应该推断出几乎可以肯定的死亡。在任何理解测试中,都有两个因变量:对测试项目的响应速度和准确性。为了同时解决这两个问题,我们使用了决策模型,该模型将个人从文本中了解多少信息以及个人的速度/准确性权衡设置分开。我们发现成人识字学生确实可以区分预测性推理句子和控制句子,这一发现说明了将决策模型与特定理解过程的测试相结合可以如何进一步理解低识字成年人的阅读技能。

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