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Four methods of identifying change in the context of a multiple component reading intervention for struggling middle school readers

机译:苦苦挣扎的初中读者在多元阅读干预下识别变化的四种方法

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The results from controlled intervention research have indicated that effective reading interventions exist for children with reading difficulties. Effect sizes for older struggling readers, however, typically have not matched the large effects demonstrated with younger children. Standardized effect sizes for intervention/control comparisons obscure important individual differences within intervention and control groups—differences potentially relevant to the who and why of intervention success. The present study reports the outcomes of PHAST Reading, a research-based multiple component reading intervention. Participants were 270 Grade 6, 7, and 8 students reading significantly below age-level expectations, who participated in a year-long intensive small-group intervention. Four methods were applied to characterize individual change: (a) normalization relative to age-appropriate standards; (b) statistically-reliable pre–post change using the Jacobson–Truax index; (c) individually-estimated growth rates using hierarchical linear modeling; and (d) change to a fixed criterion across multiple measures. Each method was evaluated for its ability to identify intervention outcomes, replicate traditional group-based effect size metrics, and characterize individual differences across participants depending on whether change was demonstrated. Each method replicated traditional group-based effect sizes, with advantages in consistency and predictive power for the reliable change index and growth curve approaches.
机译:受控干预研究的结果表明,存在阅读障碍儿童的有效阅读干预措施。但是,年龄较大,苦苦挣扎的读者的效果大小通常与年幼的孩子所表现出的巨大效果不匹配。干预/对照比较的标准化效应量掩盖了干预组和对照组之间重要的个体差异-差异可能与干预成功的对象和原因有关。本研究报告了PHAST Reading的结果,PHAST Reading是一种基于研究的多成分阅读干预。参加调查的270名6、7和8年级学生的学习成绩明显低于年龄水平的期望,他们参加了为期一年的密集小团体干预。四种方法用于表征个体变化:(a)相对于适合年龄的标准进行标准化; (b)使用雅各布森-特鲁阿克斯(Jacobson-Truax)指数统计前可靠的变动; (c)使用分层线性建模的单独估算增长率; (d)跨多项措施更改为固定标准。对每种方法的评估能力进行了评估,这些方法可以识别干预结果,复制传统的基于组的效果量度指标,并根据是否显示变化来表征参与者之间的个体差异。每种方法都复制了传统的基于组的效果量,在一致性和预测力方面具有优势,可用于可靠的变化指数和增长曲线方法。

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