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阅读障碍可能代表阅读能力正态分布的低端尾部的证据。

Evidence that dyslexia may represent the lower tail of a normal distribution of reading ability.

作者信息

Shaywitz S E, Escobar M D, Shaywitz B A, Fletcher J M, Makuch R

机构信息

Department of Pediatrics, Child Study Center, Yale University School of Medicine, New Haven, Conn.

出版信息

N Engl J Med. 1992 Jan 16;326(3):145-50. doi: 10.1056/NEJM199201163260301.

Abstract

BACKGROUND

Dyslexia is now widely believed to be a biologically based disorder that is distinct from other, less specific reading problems. According to this view, reading ability is considered to follow a bimodal distribution, with dyslexia as the lower mode. We hypothesized that, instead, reading ability follows a normal distribution, with dyslexia at the lower end of the continuum.

METHODS AND RESULTS

We used data from the Connecticut Longitudinal Study, a sample survey of 414 Connecticut children who entered kindergarten in 1983 and were followed as a longitudinal cohort. Dyslexia was defined in terms of a discrepancy score, which represents the difference between actual reading achievement and achievement predicted on the basis of measures of intelligence. Data were available from intelligence tests administered in grades 1, 3, and 5 and achievement tests administered yearly in grades 1 through 6. For each child there were 108 possible discrepancy scores ([3 x 3 years] x [2 x 6 years]) based on combinations of the ability scores (full-scale, verbal, and performance IQ) in each of three years and two achievement scores (reading and mathematics) in each of six years. We demonstrated that each of the discrepancy scores followed a univariate normal distribution and that the interrelation of two different discrepancy scores followed a bivariate normal distribution. At most, only 9 of 108 discrepancy scores (8.3 percent) and 171 of 3402 pairs of discrepancy scores (5.0 percent) were significantly different (at the 5 percent level) from the expected scores--well within the expected values for data with univariate and bivariate normal distributions, respectively. We also examined the stability of dyslexia over time. The normal-distribution model predicted (and the data indicated) that only 7 of the 25 children (28 percent) classified as having dyslexia in grade 1 would also be classified as having dyslexia in grade 3.

CONCLUSIONS

Reading difficulties, including dyslexia, occur as part of a continuum that also includes normal reading ability. Dyslexia is not an all-or-none phenomenon, but like hypertension, occurs in degrees. The variability inherent in the diagnosis of dyslexia can be both quantified and predicted with use of the normal-distribution model.

摘要

背景

诵读困难症现在被广泛认为是一种基于生物学的疾病,与其他不太特定的阅读问题不同。根据这种观点,阅读能力被认为遵循双峰分布,诵读困难症处于较低的模式。我们假设,相反,阅读能力遵循正态分布,诵读困难症处于连续体的低端。

方法与结果

我们使用了康涅狄格纵向研究的数据,该研究对1983年进入康涅狄格幼儿园并作为纵向队列进行跟踪的414名儿童进行了抽样调查。诵读困难症是根据差异分数来定义的,差异分数代表实际阅读成绩与基于智力测量预测的成绩之间的差异。数据来自1年级、3年级和5年级进行的智力测试以及1年级至6年级每年进行的成绩测试。对于每个孩子,基于三年中每年的能力分数(全量表、语言和操作智商)与六年中每年的两个成绩分数(阅读和数学)的组合,有108个可能的差异分数([3×3年]×[2×6年])。我们证明每个差异分数都遵循单变量正态分布,并且两个不同差异分数的相互关系遵循双变量正态分布。在108个差异分数中,最多只有9个(8.3%)以及在3402对差异分数中最多只有171个(5.0%)与预期分数有显著差异(在5%水平)——分别完全在单变量和双变量正态分布数据的预期值范围内。我们还研究了诵读困难症随时间的稳定性。正态分布模型预测(并且数据表明),在1年级被归类为患有诵读困难症的25名儿童中,只有7名(28%)在3年级也会被归类为患有诵读困难症。

结论

阅读困难,包括诵读困难症,是作为一个连续体的一部分出现的,这个连续体还包括正常阅读能力。诵读困难症不是非此即彼的现象,而是像高血压一样,有不同程度。诵读困难症诊断中固有的变异性可以通过使用正态分布模型进行量化和预测。

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