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.

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的单词的能力不足一致。然而，尽管解码能力足够，但有些人的阅读理解能力很差。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方法来估计 SRCD 的患病率，并检查 SRCD 可以在多大程度上用简单的阅读观点来解释。我们对标准化测试中的相关矩阵进行了基于模型的元分析，为阅读理解、解码和听力理解的构建创建了复合相关矩阵。使用从复合相关矩阵生成的模拟数据集，我们使用回归阅读理解解码的残差来创建 SRCD 的连续索引。SRCD 的患病率最好不是一个单一的数字，而是一个连续分布，其中患病率随阅读理解缺陷严重程度相对于解码水平的大小而变化。考察残差与阅读理解的联合分布，可以看出阅读理解相对于译码差的现象在整个阅读理解技能分布中都存在。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，但仍有近一半的方差下落不明。SRCD 的患病率最好不是一个单一的数字，而是一个连续分布，其中患病率随阅读理解缺陷严重程度相对于解码水平的大小而变化。考察残差与阅读理解的联合分布，可以看出阅读理解相对于译码差的现象在整个阅读理解技能分布中都存在。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，但仍有近一半的方差下落不明。SRCD 的患病率最好不是一个单一的数字，而是一个连续分布，其中患病率随阅读理解缺陷严重程度相对于解码水平的大小而变化。考察残差与阅读理解的联合分布，可以看出阅读理解相对于译码差的现象在整个阅读理解技能分布中都存在。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，但仍有近一半的方差下落不明。