Beach Kristen D, O'Connor Rollanda E
University of California, Riverside, USA
University of California, Riverside, USA.
J Learn Disabil. 2015 Mar-Apr;48(2):196-223. doi: 10.1177/0022219413495451. Epub 2013 Jul 12.
We explored the usefulness of first and second grade reading measures and responsiveness criteria collected within a response-to-intervention (RtI) framework for predicting reading disability (RD) in third grade. We used existing data from 387 linguistically diverse students who had participated in a longitudinal RtI study. Model-based predictors of RD were analyzed using logistic regression; isolated measure/criteria combinations for predicting RD were analyzed using classification analysis. Models yielded superior classification rates compared to single measure approaches and did not systematically misclassify English learners. However, particular first and second grade measure/criteria combinations also showed promise as isolated predictors of RD in word reading/text fluency. Model-based approaches were required for acceptable classification of students with RD in comprehension. Although the former finding is promising for early identification of students in need of more intensive instruction in lexical or fluency-based skills, the latter finding reaffirms literature attesting to the complexity of RD in comprehension and difficulty of predicting deficits using early measures of reading, which primarily assess word reading skill. Results replicated well with an independent sample, thus enhancing confidence in study conclusions. Implications regarding the use of RtI for predicting RD are discussed.
我们探讨了在回应干预(RtI)框架内收集的一年级和二年级阅读测量数据及反应标准对于预测三年级阅读障碍(RD)的有用性。我们使用了来自387名语言背景各异且参与了一项纵向RtI研究的学生的现有数据。使用逻辑回归分析基于模型的RD预测因素;使用分类分析来分析用于预测RD的单独测量指标/标准组合。与单一测量方法相比,基于模型的方法产生了更高的分类率,并且没有系统地对英语学习者进行错误分类。然而,特定的一年级和二年级测量指标/标准组合作为单词阅读/文本流畅性方面RD的单独预测指标也显示出前景。对于阅读理解方面患有RD的学生,需要基于模型的方法才能进行可接受的分类。尽管前一个发现对于早期识别需要在词汇或基于流畅性的技能方面接受更强化教学的学生很有前景,但后一个发现再次证实了文献所证明的阅读理解方面RD的复杂性以及使用主要评估单词阅读技能的早期阅读测量来预测缺陷的难度。研究结果在一个独立样本中得到了很好的重复,从而增强了对研究结论的信心。文中还讨论了关于使用RtI来预测RD的意义。