Mia C Daucourt, Amy R Napoli, Jamie M Quinn, Sarah G Wood, Sara A Hart
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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. 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引用次数: 56
摘要
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)。
The home math environment and math achievement: A meta-analysis.
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).
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.