The home math environment and math achievement: A meta-analysis.

IF 17.3 1区 心理学 Q1 PSYCHOLOGY Psychological bulletin Pub Date : 2021-06-01 DOI:10.1037/bul0000330
Mia C Daucourt, Amy R Napoli, Jamie M Quinn, Sarah G Wood, Sara A Hart
{"title":"The home math environment and math achievement: A meta-analysis.","authors":"Mia C Daucourt,&nbsp;Amy R Napoli,&nbsp;Jamie M Quinn,&nbsp;Sarah G Wood,&nbsp;Sara A Hart","doi":"10.1037/bul0000330","DOIUrl":null,"url":null,"abstract":"<p><p>Mathematical thinking is in high demand in the global market, but approximately 6 percent of school-age children across the globe experience math difficulties (Shalev et al., 2000). The home math environment (HME), which includes all math-related activities, attitudes, beliefs, expectations, and utterances in the home, may be associated with children's math development. To examine the relation between the HME and children's math abilities, a preregistered meta-analysis was conducted to estimate the average weighted correlation coefficient (r) between the HME and children's math achievement and how potential moderators (i.e., assessment, study, and sample features) might contribute to study heterogeneity. A multilevel correlated effects model using 631 effect sizes from 64 quantitative studies comprising 68 independent samples found a positive, statistically significant average weighted correlation of r = .13 (SE = .02, p < .001). Our combined sensitivity analyses showed that the present findings were robust and that the sample of studies has evidential value. A number of assessment, study, and sample characteristics contributed to study heterogeneity, showing that no single feature of HME research was driving the large between-study differences found for the association between the HME and children's math achievement. These findings indicate that children's environments and interactions related to their learning are supported in the specific context of math learning. Our results also show that the HME represents a setting in which children learn about math through social interactions with their caregivers (Vygotsky, 1978) and what they learn depends on the influence of many levels of environmental input (Bronfenbrenner, 1979) and the specificity of input children receive (Bornstein, 2002). (PsycInfo Database Record (c) 2021 APA, all rights reserved).</p>","PeriodicalId":20854,"journal":{"name":"Psychological bulletin","volume":"147 6","pages":"565-596"},"PeriodicalIF":17.3000,"publicationDate":"2021-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8634776/pdf/nihms-1715506.pdf","citationCount":"56","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Psychological bulletin","FirstCategoryId":"102","ListUrlMain":"https://doi.org/10.1037/bul0000330","RegionNum":1,"RegionCategory":"心理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"PSYCHOLOGY","Score":null,"Total":0}
引用次数: 56

Abstract

Mathematical thinking is in high demand in the global market, but approximately 6 percent of school-age children across the globe experience math difficulties (Shalev et al., 2000). The home math environment (HME), which includes all math-related activities, attitudes, beliefs, expectations, and utterances in the home, may be associated with children's math development. To examine the relation between the HME and children's math abilities, a preregistered meta-analysis was conducted to estimate the average weighted correlation coefficient (r) between the HME and children's math achievement and how potential moderators (i.e., assessment, study, and sample features) might contribute to study heterogeneity. A multilevel correlated effects model using 631 effect sizes from 64 quantitative studies comprising 68 independent samples found a positive, statistically significant average weighted correlation of r = .13 (SE = .02, p < .001). Our combined sensitivity analyses showed that the present findings were robust and that the sample of studies has evidential value. A number of assessment, study, and sample characteristics contributed to study heterogeneity, showing that no single feature of HME research was driving the large between-study differences found for the association between the HME and children's math achievement. These findings indicate that children's environments and interactions related to their learning are supported in the specific context of math learning. Our results also show that the HME represents a setting in which children learn about math through social interactions with their caregivers (Vygotsky, 1978) and what they learn depends on the influence of many levels of environmental input (Bronfenbrenner, 1979) and the specificity of input children receive (Bornstein, 2002). (PsycInfo Database Record (c) 2021 APA, all rights reserved).

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
家庭数学环境与数学成绩:元分析。
数学思维在全球市场上需求量很大,但全球约有6%的学龄儿童存在数学困难(Shalev et al., 2000)。家庭数学环境(HME)包括家庭中所有与数学相关的活动、态度、信念、期望和话语,可能与儿童的数学发展有关。为了检验家庭家庭环境与儿童数学能力之间的关系,我们进行了一项预登记的荟萃分析,以估计家庭家庭环境与儿童数学成绩之间的平均加权相关系数(r),以及潜在的调节因子(即评估、研究和样本特征)可能对研究异质性有何影响。采用64个定量研究中包含68个独立样本的631个效应大小的多水平相关效应模型发现,平均加权相关性为r = 0.13,具有统计学显著性(SE = 0.02, p < 0.001)。我们的联合敏感性分析表明,目前的发现是稳健的,研究样本具有证据价值。许多评估、研究和样本特征导致了研究的异质性,表明没有单一的HME研究特征导致了HME与儿童数学成绩之间的巨大研究差异。这些发现表明,与儿童学习相关的环境和相互作用在数学学习的特定背景下得到了支持。我们的研究结果还表明,HME代表了一种环境,在这种环境中,儿童通过与照顾者的社会互动来学习数学(Vygotsky, 1978),他们学习的内容取决于许多层次的环境输入的影响(Bronfenbrenner, 1979)和儿童接受的输入的特异性(bernstein, 2002)。(PsycInfo Database Record (c) 2021 APA,版权所有)。
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
Psychological bulletin
Psychological bulletin 医学-心理学
CiteScore
33.60
自引率
0.90%
发文量
21
期刊介绍: Psychological Bulletin publishes syntheses of research in scientific psychology. Research syntheses seek to summarize past research by drawing overall conclusions from many separate investigations that address related or identical hypotheses. A research synthesis typically presents the authors' assessments: -of the state of knowledge concerning the relations of interest; -of critical assessments of the strengths and weaknesses in past research; -of important issues that research has left unresolved, thereby directing future research so it can yield a maximum amount of new information.
期刊最新文献
Reporting bias, not external focus: A robust Bayesian meta-analysis and systematic review of the external focus of attention literature. Supporting the status quo is weakly associated with subjective well-being: A comparison of the palliative function of ideology across social status groups using a meta-analytic approach. When connecting with LGBTQ+ communities helps and why it does: A meta-analysis of the relationship between connectedness and health-related outcomes. Who am I? A second-order meta-analytic review of correlates of the self in childhood and adolescence. Defining social reward: A systematic review of human and animal studies.
×
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