已入深夜,您辛苦了!由于当前在线用户较少,发布求助请尽量完整地填写文献信息,科研通机器人24小时在线,伴您度过漫漫科研夜!祝你早点完成任务,早点休息,好梦!

Relationship between Visual Motor Integration Skill and Academic Performance in Kindergarten through Third Grade

拼写 心理学 考试(生物学) 阅读(过程) 发展心理学 标准化测试 学业成绩 数学教育 政治学 语言学 生物 哲学 古生物学 法学
作者
Marjean Taylor Kulp
出处
期刊:Optometry and Vision Science [Lippincott Williams & Wilkins]
卷期号:76 (3): 159-163 被引量:184
标识
DOI:10.1097/00006324-199903000-00015
摘要

Purpose. The objective of this study was to examine the relationship between visual motor integration skill and academic performance in kindergarten through third grade. Methods. One hundred ninety-one (N=191) children in kindergarten through third grade (mean age=7.78 years; 52% male) from an upper-middle class, suburban, primarily Caucasian, elementary school near Cleveland, Ohio were included in this investigation. Visual analysis and visual motor integration skill were assessed with the Beery Developmental Test of Visual Motor Integration (VMI) long form because it is a commonly used test in both optometric and educational practice and has a detailed scoring system. The relationship between performance on the VMI and teachers' ratings of academic achievement was analyzed because teachers' grades are a primary means of assessing school performance. The children's regular classroom teachers rated the children with respect to reading, math, and writing ability. Second and third grade children (N=98) were also rated on spelling ability. Only experienced teachers were included in the investigation and the validity of the teachers' ratings was substantiated by significant correlations with standardized test scores. Teachers were masked to performance on the VMI until the rating was completed. The Stanford Diagnostic Reading test, 4th edition, was also used as a measure of reading ability in the first graders and the Otis-Lennon School Ability test (OLSAT), 6th edition, was also used as a measure of school-related cognitive ability in the second graders. Results. Performance on the VMI was found to be significantly related to teachers' ratings of the children's reading (p=0.0001), math (p=0.0001), writing (p=0.0001) and spelling (p=0.0118) ability. An analysis by age group revealed that performance on the VMI was significantly correlated with reading achievement ratings in the 7- and 8- year-olds (p < 0.001 and p=0.002, respectively), with math and writing achievement ratings in the 7-, 8-, and 9-year-olds (math: p < 0.001, p=0.004, and p=0.003, respectively; writing: p < 0.001, p=0.008, and p=0.016, respectively), and with spelling achievement ratings in the 8- and 9-year-olds (p=0.040 and p=0.007, respectively). VMI scores were also significantly related to performance on the Stanford Reading test in the first graders (p=0.003) and to performance on the OLSAT in the second graders (verbal score: p=0.005, nonverbal score: p=0.002, and total score: p<0.001). In order to partially control for mathematical ability, an additional analysis was performed with children who were identified by the OLSAT as having either below average, average, or above average verbal reasoning scores ability (the verbal reasoning score consists of aural and arithmetic reasoning). This analysis again revealed a significant correlation between the VMI and teachers' achievement ratings in math (p=0.007 among second grade students with average ability). Finally, in order to partially control for cognitive ability related to writing, an additional analysis was performed with children who were identified by the OLSAT as having either below average, average, or above average nonverbal cluster OLSAT scores. (The nonverbal cluster consists of pictorial and figural reasoning.) This analysis again revealed a significant correlation between the VMI and teachers' achievement ratings in writing (p=0.001 among average second grade students). Conclusion. Performance on a visual analysis and visual motor integration task is significantly related to academic performance in 7-, 8- and 9-year-olds.

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
共享精神应助柔三皿采纳,获得10
1秒前
Yzz发布了新的文献求助10
1秒前
guoyuheng发布了新的文献求助50
2秒前
科研通AI6.2应助zqy采纳,获得10
4秒前
一只蛋发布了新的文献求助30
4秒前
充电宝应助上善若水采纳,获得10
4秒前
大事年表发布了新的文献求助10
5秒前
丘比特应助李嘉图采纳,获得10
6秒前
科研通AI6.4应助江睿曦采纳,获得10
6秒前
8秒前
丘比特应助瘦瘦冬寒采纳,获得10
9秒前
9秒前
10秒前
简单的笑容完成签到 ,获得积分10
10秒前
12秒前
13秒前
黄jw完成签到 ,获得积分10
13秒前
13秒前
zhou发布了新的文献求助10
13秒前
15秒前
科研通AI6.4应助大事年表采纳,获得10
15秒前
西哥完成签到,获得积分10
16秒前
wz完成签到,获得积分10
16秒前
17秒前
17秒前
18秒前
啦啦啦发布了新的文献求助10
19秒前
cc发布了新的文献求助10
21秒前
wmc666发布了新的文献求助10
22秒前
22秒前
Miukoo完成签到 ,获得积分10
24秒前
毗昙应助橙汁没泡泡采纳,获得10
25秒前
Reece完成签到,获得积分10
28秒前
苗条的奇异果完成签到,获得积分10
28秒前
wyg1994完成签到,获得积分10
30秒前
30秒前
31秒前
guoyuheng完成签到,获得积分10
31秒前
炙热夜绿发布了新的文献求助10
32秒前
33秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Principles of town planning: translating concepts to applications 1000
Management and the Arts 510
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
核安全综合知识2024版 500
Photothermal Science and Techniques 500
Digital Displacement Hydrostatic Transmission for Rotorcraft and Distributed Propulsion 500
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 内科学 物理 复合材料 催化作用 细胞生物学 无机化学 光电子学 物理化学 电极 基因
热门帖子
关注 科研通微信公众号,转发送积分 7705493
求助须知:如何正确求助?哪些是违规求助? 9263142
关于积分的说明 20041733
捐赠科研通 7281122
什么是DOI,文献DOI怎么找? 3295304
关于科研通互助平台的介绍 2450288
邀请新用户注册赠送积分活动 2302172