Suppr超能文献

有学习障碍和无学习障碍学生阅读成绩的纵向模型。

Longitudinal models of reading achievement of students with learning disabilities and without disabilities.

作者信息

Sullivan Amanda L, Kohli Nidhi, Farnsworth Elyse M, Sadeh Shanna, Jones Leila

机构信息

Department of Educational Psychology and Special Education, University of Minnesota.

出版信息

Sch Psychol Q. 2017 Sep;32(3):336-349. doi: 10.1037/spq0000170. Epub 2016 Jul 18.

Abstract

OBJECTIVE

Accurate estimation of developmental trajectories can inform instruction and intervention. We compared the fit of linear, quadratic, and piecewise mixed-effects models of reading development among students with learning disabilities relative to their typically developing peers.

METHOD

We drew an analytic sample of 1,990 students from the nationally representative Early Childhood Longitudinal Study-Kindergarten Cohort of 1998, using reading achievement scores from kindergarten through eighth grade to estimate three models of students' reading growth.

RESULTS

The piecewise mixed-effects models provided the best functional form of the students' reading trajectories as indicated by model fit indices. Results showed slightly different trajectories between students with learning disabilities and without disabilities, with varying but divergent rates of growth throughout elementary grades, as well as an increasing gap over time.

CONCLUSIONS

These results highlight the need for additional research on appropriate methods for modeling reading trajectories and the implications for students' response to instruction. (PsycINFO Database Record

摘要

目的

准确估计发展轨迹可为教学和干预提供依据。我们比较了学习障碍学生与正常发展同伴在阅读发展方面的线性、二次和分段混合效应模型的拟合情况。

方法

我们从具有全国代表性的1998年幼儿园队列幼儿纵向研究中抽取了1990名学生作为分析样本,使用从幼儿园到八年级的阅读成绩分数来估计学生阅读成长的三种模型。

结果

如模型拟合指数所示,分段混合效应模型提供了学生阅读轨迹的最佳函数形式。结果显示,有学习障碍和无学习障碍的学生之间的轨迹略有不同,在整个小学阶段增长速度各异且呈发散趋势,并且随着时间推移差距不断扩大。

结论

这些结果凸显了对建模阅读轨迹的适当方法进行更多研究的必要性以及对学生教学反应的影响。(PsycINFO数据库记录)

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验