Wagner Richard K, Lonigan Christopher J
Department of Psychology and Florida Center for Reading Research, Florida State University.
Read Res Q. 2023 Apr-Jun;58(2):188-202. doi: 10.1002/rrq.480. Epub 2022 Oct 12.
Definitions of dyslexia typically make reference to unexpected poor reading, although how best to operationalize unexpected remains an issue. When operationally defined as reading below expectations based on level of oral language, cases of unexpected poor reading make up fewer than half of cases of poor reading, and cases of unexpected poor reading occur throughout the range of reading proficiency. An implication is that what optimally predicts poor reading may not optimally predict unexpected poor reading. The goal of the three presented studies was to test this implication empirically. In Study 1, a model-based meta-analysis, phonological awareness accounted for 40% of the variance in decoding but only 1% of the variance in decoding that was unexpected based on level of vocabulary. Conversely, unexpected phonological awareness accounted for 34% of the variance in unexpected decoding but only 1% of the variance in decoding. An analogous pattern of results occurred for reading comprehension. In Study 2, a study of 766 children in kindergarten, first grade, and second grade, latent variables were used to represent oral vocabulary, phonological awareness, and decoding. As was seen in Study 1, unexpected decoding was better predicted by unexpected phonological awareness than by phonological awareness. In Study 3, a longitudinal study of 1,025 children followed from preschool through grade 2, the pattern of results mirrored those of Studies 1 and 2. An important implication of these studies is that typical assessments may be better at identifying poor reading than they are at identifying unexpected poor reading or dyslexia.
诵读困难症的定义通常会提及意外的阅读能力差,尽管如何最好地界定“意外”仍是一个问题。若根据口语水平将意外定义为阅读能力低于预期,那么意外的阅读能力差的案例在阅读能力差的案例中所占比例不到一半,且意外的阅读能力差的案例出现在整个阅读水平范围内。这意味着能最佳预测阅读能力差的因素可能无法最佳预测意外的阅读能力差。所呈现的三项研究的目的是通过实证来检验这一观点。在研究1中,一项基于模型的元分析表明,语音意识在解码差异中占40%,但在基于词汇水平的意外解码差异中仅占1%。相反,意外的语音意识在意外解码差异中占34%,但在解码差异中仅占1%。阅读理解也出现了类似的结果模式。在研究2中,对766名幼儿园、一年级和二年级儿童进行的研究中,潜在变量被用来代表口语词汇、语音意识和解码能力。正如在研究1中所见,意外的语音意识比语音意识能更好地预测意外解码。在研究3中,对1025名从学前班到二年级的儿童进行的纵向研究中,结果模式与研究1和2的结果相似。这些研究的一个重要启示是,典型的评估在识别阅读能力差方面可能比识别意外的阅读能力差或诵读困难症方面表现更好。