A model-based meta-analytic examination of specific reading comprehension deficit: how prevalent is it and does the simple view of reading account for it?

IF 2.1 3区 教育学 Q1 EDUCATION, SPECIAL Annals of Dyslexia Pub Date : 2021-06-03 DOI:10.1007/s11881-021-00232-2
Richard K. Wagner, Bethany Beal, Fotena A. Zirps, Mercedes Spencer
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引用次数: 5

Abstract

Many individuals with poor reading comprehension have levels of reading comprehension that are consistent with deficits in their ability to decode the words on the page. However, there are individuals who are poor at reading comprehension despite being adequate at decoding. This phenomenon is referred to as specific reading comprehension deficit (SRCD). The two purposes of this study were to use a new approach to estimate the prevalence of SRCD and to examine the extent to which SRCD can be explained by the simple view of reading. We used model-based meta-analysis of correlation matrices from standardized tests to create composite correlation matrices for the constructs of reading comprehension, decoding, and listening comprehension. Using simulated datasets generated from the composite correlation matrices, we used residuals from regressing reading comprehension on decoding to create a continuous index of SRCD. The prevalence of SRCD is best represented not as a single number but as a continuous distribution in which prevalence varies as a function of the magnitude of the severity of the deficit in reading comprehension relative to the level of decoding. Examining the joint distribution of the residuals with reading comprehension makes clear that the phenomenon of reading comprehension that is poor relative to decoding occurs throughout the distribution of reading comprehension skill. Although the simple view of reading predictors of listening comprehension and decoding makes significant contributions to predicting reading comprehension, nearly half of the variance is unaccounted for.

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基于模型的特定阅读理解缺陷的元分析检验:它有多普遍?简单的阅读观是否解释了它?
许多阅读理解能力差的人的阅读理解水平与他们解码页面上单词的能力缺陷一致。然而,有些人在阅读理解方面很差,尽管他们在解码方面做得很好。这种现象被称为特定阅读理解缺陷(SRCD)。本研究的两个目的是使用一种新的方法来估计SRCD的患病率,并检验简单的阅读观在多大程度上可以解释SRCD。我们对标准化测试中的相关矩阵进行了基于模型的荟萃分析,为阅读理解、解码和听力理解的结构创建了复合相关矩阵。使用由复合相关矩阵生成的模拟数据集,我们使用解码时回归阅读理解的残差来创建SRCD的连续索引。SRCD的患病率最好不是用一个数字来表示,而是用一个连续分布来表示,在这个分布中,患病率是阅读理解缺陷严重程度相对于解码水平的函数。研究残差与阅读理解的联合分布可以清楚地表明,在阅读理解技能的整个分布过程中,都会出现相对于解码较差的阅读理解现象。尽管听力理解和解码的阅读预测因子的简单观点对预测阅读理解做出了重大贡献,但近一半的方差是未知的。
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来源期刊
Annals of Dyslexia
Annals of Dyslexia Multiple-
CiteScore
4.90
自引率
8.70%
发文量
25
期刊介绍: Annals of Dyslexia is an interdisciplinary, peer-reviewed journal dedicated to the scientific study of dyslexia, its comorbid conditions; and theory-based practices on remediation, and intervention of dyslexia and related areas of written language disorders including spelling, composing and mathematics. Primary consideration for publication is given to original empirical studies, significant review, and well-documented reports of evidence-based effective practices. Only original papers are considered for publication.
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