小学数学三年一度筛查中变化的多重来源

IF 1.9 3区 教育学 Q1 EDUCATION, SPECIAL
Garret J. Hall, David Kaplan, Craig A. Albers
{"title":"小学数学三年一度筛查中变化的多重来源","authors":"Garret J. Hall,&nbsp;David Kaplan,&nbsp;Craig A. Albers","doi":"10.1111/ldrp.12296","DOIUrl":null,"url":null,"abstract":"<p>Bayesian latent change score modeling (LCSM) was used to compare models of triannual (fall, winter, spring) change on elementary math computation and concepts/applications curriculum-based measures. Data were collected from elementary students in Grades 2–5, approximately 700 to 850 students in each grade (47%–54% female; 78%–79% White, 10%–11% Black, 2%–4% Hispanic/Latino, 2%–4% Asian, 2–4% Native American or Pacific Islander; 13%–14% English learner; 10%–14% had special education individualized education plans). Results converged with common nonlinear growth patterns from the assessment norms and prior independent findings. However, Bayesian LCSMs captured practically relevant sources of change not observed in prior studies. Practical and methodological implications for screening and data-based decision-making in multitiered systems of support, limitations, and future directions are discussed.</p>","PeriodicalId":47426,"journal":{"name":"Learning Disabilities Research & Practice","volume":null,"pages":null},"PeriodicalIF":1.9000,"publicationDate":"2022-11-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Capturing Multiple Sources of Change on Triannual Math Screeners in Elementary School\",\"authors\":\"Garret J. Hall,&nbsp;David Kaplan,&nbsp;Craig A. Albers\",\"doi\":\"10.1111/ldrp.12296\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p>Bayesian latent change score modeling (LCSM) was used to compare models of triannual (fall, winter, spring) change on elementary math computation and concepts/applications curriculum-based measures. Data were collected from elementary students in Grades 2–5, approximately 700 to 850 students in each grade (47%–54% female; 78%–79% White, 10%–11% Black, 2%–4% Hispanic/Latino, 2%–4% Asian, 2–4% Native American or Pacific Islander; 13%–14% English learner; 10%–14% had special education individualized education plans). Results converged with common nonlinear growth patterns from the assessment norms and prior independent findings. However, Bayesian LCSMs captured practically relevant sources of change not observed in prior studies. Practical and methodological implications for screening and data-based decision-making in multitiered systems of support, limitations, and future directions are discussed.</p>\",\"PeriodicalId\":47426,\"journal\":{\"name\":\"Learning Disabilities Research & Practice\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":1.9000,\"publicationDate\":\"2022-11-14\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Learning Disabilities Research & Practice\",\"FirstCategoryId\":\"95\",\"ListUrlMain\":\"https://onlinelibrary.wiley.com/doi/10.1111/ldrp.12296\",\"RegionNum\":3,\"RegionCategory\":\"教育学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"EDUCATION, SPECIAL\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Learning Disabilities Research & Practice","FirstCategoryId":"95","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1111/ldrp.12296","RegionNum":3,"RegionCategory":"教育学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"EDUCATION, SPECIAL","Score":null,"Total":0}
引用次数: 1

摘要

贝叶斯潜在变化得分模型(LCSM)用于比较小学数学计算的三年(秋季、冬季、春季)变化模型和基于概念/应用课程的测量。数据收集自2-5年级的小学生,每个年级约有700至850名学生(47%至54%为女性;78%至79%为白人,10%至11%为黑人,2%至4%为西班牙裔/拉丁裔,2%至40%为亚裔,2%至14%为美洲原住民或太平洋岛民;13%至14%为英语学习者;10%至14%有特殊教育个性化教育计划)。结果与评估规范和先前独立发现的常见非线性增长模式一致。然而,贝叶斯LCSM捕捉到了先前研究中未观察到的实际相关的变化来源。讨论了多层支持系统中筛选和基于数据的决策的实际意义和方法论意义、局限性和未来方向。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Capturing Multiple Sources of Change on Triannual Math Screeners in Elementary School

Bayesian latent change score modeling (LCSM) was used to compare models of triannual (fall, winter, spring) change on elementary math computation and concepts/applications curriculum-based measures. Data were collected from elementary students in Grades 2–5, approximately 700 to 850 students in each grade (47%–54% female; 78%–79% White, 10%–11% Black, 2%–4% Hispanic/Latino, 2%–4% Asian, 2–4% Native American or Pacific Islander; 13%–14% English learner; 10%–14% had special education individualized education plans). Results converged with common nonlinear growth patterns from the assessment norms and prior independent findings. However, Bayesian LCSMs captured practically relevant sources of change not observed in prior studies. Practical and methodological implications for screening and data-based decision-making in multitiered systems of support, limitations, and future directions are discussed.

求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
CiteScore
2.60
自引率
11.10%
发文量
21
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信