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预测未来6年的阅读问题:动态评估可减少偏差并提高分类准确性。

Predicting Reading Problems 6 Years Into the Future: Dynamic Assessment Reduces Bias and Increases Classification Accuracy.

作者信息

Petersen Douglas B, Gragg Shelbi L, Spencer Trina D

机构信息

Department of Communication Disorders, Brigham Young University, Provo, UT.

Sweetwater County Child Development Center, Rock Springs, WY.

出版信息

Lang Speech Hear Serv Sch. 2018 Oct 24;49(4):875-888. doi: 10.1044/2018_LSHSS-DYSLC-18-0021.

Abstract

PURPOSE

The purpose of this study was to examine how well a kindergarten dynamic assessment of decoding predicts future reading difficulty at 2nd, 3rd, 4th, and 5th grade and to determine whether the dynamic assessment improves the predictive validity of traditional static kindergarten reading measures.

METHOD

With a small variation in sample size by grade, approximately 370 Caucasian and Hispanic students were administered a 3-min dynamic assessment of decoding and static measures of letter identification and phonemic awareness at the beginning of kindergarten. Oral reading fluency was then assessed at the end of Grades 2-5. In this prospective, longitudinal study, predictive validity was estimated for the Caucasian and Hispanic students by examining the amount of variance the static and dynamic assessments explained and by referring to area under the curve and sensitivity and specificity values.

RESULTS

The dynamic assessment accounted for variance in reading ability over and above the static measures, with fair to good area under the curve values and sensitivity and specificity. Classification accuracy worsened when the static measures were included as predictor measures. The results of this study indicate that a very brief dynamic assessment can predict with approximately 75%-80% accuracy, which kindergarten students will have difficulty in learning to decode up to 6 years into the future.

CONCLUSIONS

Dynamic assessment of decoding is a promising approach to identifying future reading difficulty of young kindergarten students, mitigating the cultural and linguistic bias found in traditional static early reading measures.

摘要

目的

本研究旨在考察幼儿园解码动态评估对二、三、四、五年级未来阅读困难的预测效果,并确定动态评估是否能提高传统幼儿园静态阅读测评的预测效度。

方法

在幼儿园开学时,对约370名白种人和西班牙裔学生进行了3分钟的解码动态评估以及字母识别和音素意识的静态测评,各年级样本量略有差异。随后在二至五年级末评估口头阅读流畅性。在这项前瞻性纵向研究中,通过考察静态和动态评估所解释的方差量,并参考曲线下面积以及敏感度和特异度值,对白种人和西班牙裔学生的预测效度进行了估计。

结果

动态评估能够解释超出静态测评的阅读能力方差,曲线下面积值以及敏感度和特异度处于中等至良好水平。当将静态测评作为预测指标时,分类准确率会降低。本研究结果表明,一项非常简短的动态评估能够以大约75%-80%的准确率预测哪些幼儿园学生会在未来长达6年的时间里在学习解码方面存在困难。

结论

解码动态评估是一种很有前景的方法,可用于识别幼儿园幼儿未来的阅读困难,减少传统静态早期阅读测评中存在的文化和语言偏见。

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