Length, area, volume, and angle and turn measurement in early childhood: validating the early measurement assessment tool

IF 1.3 Q2 EDUCATION & EDUCATIONAL RESEARCH International Journal of Early Years Education Pub Date : 2023-10-16 DOI:10.1080/09669760.2023.2269978
Mehmet Ceylan, Durmuş Aslan
{"title":"Length, area, volume, and angle and turn measurement in early childhood: validating the early measurement assessment tool","authors":"Mehmet Ceylan, Durmuş Aslan","doi":"10.1080/09669760.2023.2269978","DOIUrl":null,"url":null,"abstract":"ABSTRACTThis study aimed to investigate 48–96 months old children’s length, area, volume, and angle and turn measurement abilities. For this purpose, an Early Measurement Assessment Tool (EMAT) was developed for Turkish-speaking children and validated with the multi-dimensional item response theory (MIRT). The EMAT was developed based on Learning Trajectories (LTs). Psychometric properties of the EMAT were reported. The MIRT analysis indicated that the best-fitting model was the one-dimensional two-parameter logistic model (1D2PL) considering the M2 statistics and fit indices. The study revealed that the EMAT was a psychometrically valid and reliable instrument to assess 48–96 months old children’s length, area, volume, and angle and turn measurement abilities. Therefore, it could be useful to identify and support low-performing children in early childhood. In addition, the study extended prior finding that LTs are a good framework for assessment development.KEYWORDS: learning trajectoriesmeasurementearly childhood mathematiclengthareavolume AcknowledgementsThis study was part of the first author’s dissertation. We wish to thank committee members Yaşare Aktaş Arnas and Kamuran Tarım for the advice they provided throughout the study.Disclosure statementNo potential conflict of interest was reported by the author(s).Notes1 P represents the probability of the response; U is the score on the test item for a particular person. θ is the single parameter that describes the characteristics of the person; ai is the parameter related to the maximum slope of the item characteristic curve; di is the intercept term which is scalar; e is the base of natural logarithms.","PeriodicalId":46866,"journal":{"name":"International Journal of Early Years Education","volume":null,"pages":null},"PeriodicalIF":1.3000,"publicationDate":"2023-10-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Early Years Education","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1080/09669760.2023.2269978","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"EDUCATION & EDUCATIONAL RESEARCH","Score":null,"Total":0}
引用次数: 0

Abstract

ABSTRACTThis study aimed to investigate 48–96 months old children’s length, area, volume, and angle and turn measurement abilities. For this purpose, an Early Measurement Assessment Tool (EMAT) was developed for Turkish-speaking children and validated with the multi-dimensional item response theory (MIRT). The EMAT was developed based on Learning Trajectories (LTs). Psychometric properties of the EMAT were reported. The MIRT analysis indicated that the best-fitting model was the one-dimensional two-parameter logistic model (1D2PL) considering the M2 statistics and fit indices. The study revealed that the EMAT was a psychometrically valid and reliable instrument to assess 48–96 months old children’s length, area, volume, and angle and turn measurement abilities. Therefore, it could be useful to identify and support low-performing children in early childhood. In addition, the study extended prior finding that LTs are a good framework for assessment development.KEYWORDS: learning trajectoriesmeasurementearly childhood mathematiclengthareavolume AcknowledgementsThis study was part of the first author’s dissertation. We wish to thank committee members Yaşare Aktaş Arnas and Kamuran Tarım for the advice they provided throughout the study.Disclosure statementNo potential conflict of interest was reported by the author(s).Notes1 P represents the probability of the response; U is the score on the test item for a particular person. θ is the single parameter that describes the characteristics of the person; ai is the parameter related to the maximum slope of the item characteristic curve; di is the intercept term which is scalar; e is the base of natural logarithms.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
幼儿长度,面积,体积,角度和转动测量:验证早期测量评估工具
摘要本研究旨在探讨48 ~ 96月龄儿童的长度、面积、体积、角度和转角测量能力。为此,本研究针对土耳其语儿童开发了早期测量评估工具(EMAT),并用多维项目反应理论(MIRT)进行了验证。EMAT是基于学习轨迹(LTs)开发的。报道了EMAT的心理测量特性。MIRT分析表明,考虑M2统计量和拟合指标,最佳拟合模型为一维双参数logistic模型(1D2PL)。研究结果表明,EMAT是一种心理测量学上有效和可靠的工具,可用于评估48-96月龄儿童的长度、面积、体积、角度和转身测量能力。因此,在儿童早期识别和支持表现不佳的儿童可能是有用的。此外,本研究扩展了先前的发现,即LTs是一个很好的评估开发框架。关键词:学习轨迹;测量;幼儿数学;我们要感谢委员会成员yaare aktaai Arnas和Kamuran Tarım在整个研究过程中提供的建议。披露声明作者未报告潜在的利益冲突。注1 P表示响应的概率;U是某个人在测试项目上的得分。θ是描述人的特征的单一参数;Ai为与项目特征曲线最大斜率相关的参数;Di是截距项,它是标量;E是自然对数的底数。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
International Journal of Early Years Education
International Journal of Early Years Education EDUCATION & EDUCATIONAL RESEARCH-
CiteScore
2.30
自引率
5.30%
发文量
50
期刊最新文献
Re-engaging dialogue about the DAP debate: Implications for teacher education Quality of educator-toddler conversations varies across activity settings in centre-based ECEC The new (ab)normal: the participation of children attending preschool and elementary school during confinement Preservice teachers’ perspectives of play in early childhood education Parent–child math talk and early math interest: comparing the effects of written versus hands-on materials
×
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
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 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 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1