Purpura David J, Logan Jessica A R
Department of Human Development and Family Studies, Purdue University.
Center for Cognitive and Brain Sciences, Ohio State University.
Dev Psychol. 2015 Dec;51(12):1717-24. doi: 10.1037/dev0000055. Epub 2015 Oct 5.
Both mathematical language and the approximate number system (ANS) have been identified as strong predictors of early mathematics performance. Yet, these relations may be different depending on a child's developmental level. The purpose of this study was to evaluate the relations between these domains across different levels of ability. Participants included 114 children who were assessed in the fall and spring of preschool on a battery of academic and cognitive tasks. Children were 3.12 to 5.26 years old (M = 4.18, SD = .58) and 53.6% were girls. Both mixed-effect and quantile regressions were conducted. The mixed-effect regressions indicated that mathematical language, but not the ANS, nor other cognitive domains, predicted mathematics performance. However, the quantile regression analyses revealed a more nuanced relation among domains. Specifically, it was found that mathematical language and the ANS predicted mathematical performance at different points on the ability continuum. These dual nonlinear relations indicate that different mechanisms may enhance mathematical acquisition dependent on children's developmental abilities.
数学语言和近似数系统(ANS)都已被确定为早期数学成绩的有力预测指标。然而,这些关系可能因儿童的发展水平而异。本研究的目的是评估不同能力水平下这些领域之间的关系。参与者包括114名儿童,他们在学前教育的秋季和春季接受了一系列学术和认知任务的评估。儿童年龄在3.12至5.26岁之间(M = 4.18,SD = 0.58),53.6%为女孩。进行了混合效应回归和分位数回归。混合效应回归表明,数学语言而非ANS或其他认知领域能预测数学成绩。然而,分位数回归分析揭示了各领域之间更细微的关系。具体而言,研究发现数学语言和ANS在能力连续体的不同点上预测数学成绩。这些双重非线性关系表明,不同的机制可能会根据儿童的发展能力促进数学学习。