Suppr超能文献

一年级开始时共病的单词阅读和数学计算困难。

Comorbid Word Reading and Mathematics Computation Difficulty at Start of First Grade.

作者信息

Fuchs Lynn S, Fuchs Douglas, Cho Eunsoo, Barnes Marcia A, Koponen Tuire, Espinas Daniel R

机构信息

Vanderbilt University, Nashville, TN, USA.

American Institutes for Research, Arlington, VA, USA.

出版信息

J Learn Disabil. 2025 Mar-Apr;58(2):112-127. doi: 10.1177/00222194241248188. Epub 2024 Apr 30.

Abstract

The purpose of this analysis was to describe cognitive processes associated with comorbid difficulty between word reading (WR) and mathematics computation (MC) at the start of first grade among children selected for WR and MC delays. A sample of 234 U.S. children (mean age 6.50 years, = 0.31) was assessed on WR, MC, core cognitive processes (phonological processing, rapid automatized naming, verbal counting [VC]), and domain-general cognitive processes (working memory, oral language, nonverbal reasoning, attentive behavior). Structural equation modeling was used to predict a latent Comorbidity factor, which modeled shared variance between WR and MC, and to identify processes associated with that Comorbidity factor. Results identified each of the core cognitive processes, especially VC, and each of the domain-general cognitive processes, especially working memory, as explaining shared variance between WR and MC. Implications for understanding comorbid difficulty at the start of first grade and designing coordinated first-grade interventions are discussed.

摘要

本分析的目的是描述在入选有单词阅读(WR)和数学计算(MC)延迟的儿童中,一年级开始时与WR和MC共病困难相关的认知过程。对234名美国儿童(平均年龄6.50岁,标准差 = 0.31)进行了WR、MC、核心认知过程(语音处理、快速自动命名、口头计数[VC])和领域通用认知过程(工作记忆、口语、非语言推理、注意力行为)的评估。使用结构方程模型来预测一个潜在的共病因子,该因子对WR和MC之间的共同方差进行建模,并识别与该共病因子相关的过程。结果确定了每个核心认知过程,尤其是VC,以及每个领域通用认知过程,尤其是工作记忆,可解释WR和MC之间的共同方差。讨论了对理解一年级开始时的共病困难以及设计协调的一年级干预措施的启示。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/91cb/11829496/d381eec968f3/10.1177_00222194241248188-fig1.jpg

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