小学低年级儿童的计算流畅性与数学焦虑:基于变量为中心与个体为中心的分析

为考察计算流畅性对小学低年级儿童数学焦虑的影响及作用机制,对592名小学二年级儿童的计算流畅性、数学学习兴趣、教师支持和数学焦虑进行测查。结果发现:(1)计算流畅性不仅通过数学学习兴趣间接影响数学焦虑,也可通过数学学习兴趣进而通过教师支持间接影响数学焦虑;(2)对计算流畅性和数学学习兴趣得分进行潜剖面分析,可将儿童区分为三种类型:低能力-低兴趣型、高能力-高兴趣型和低能力-高兴趣型;(3)低能力-低兴趣型儿童的数学焦虑得分显著高于其他两类,而低能力-高兴趣型和高能力-高兴趣型儿童的数学焦虑得分则无显著差异。上述结果表明计算流畅性、数学学习兴趣和教师支持在预防和干预小学低年级儿童的数学焦虑中具有重要作用。     

Numeracy skills in young children as predictors of mathematical competence

As mathematical competence is linked to educational success, professional achievement, and even a country's economic growth, researchers have been interested in early predictors for quite some time. Although there have been numerous studies on domain-specific numerical abilities predicting later mathematical competence in preschool children, research in toddlers is scarce, especially regarding additional influential aspects, such as domain-general cognitive abilities and the children's social background. Using a large-scale dataset, the present study examined predictive effects of numeracy skills in 17-month-olds for later mathematical achievement. We found small, positive effects, even when controlling for child-related variables (i.e., age and sex) and the children's social background (i.e., maternal education and household language). Additionally, we compared results with a domain-general categorization task and found no distinct effect on mathematical competence. The present results are discussed with regard to the specificities of the dataset, as well as implications for future studies on predictors of mathematical competence.     

Associations between prenatal substance exposure,prenatal violence victimization,unintended pregnancy,and trauma exposure in childhood in a clinical setting

Given the importance of early prevention and intervention strategies for children exposed to trauma, detection of early risk factors for exposure to traumatic events in childhood is critical. The present study examined associations between three known prenatal risk factors that characterize environmental instability in utero—prenatal substance exposure, prenatal violence victimization, and unintended pregnancy—and child exposure to interparental violence and other adverse experiences in a sample of 198 mother–child dyads (M child age = 44.48 months) referred to a hospital clinic for treatment following exposure to trauma. Prenatal substance and violence exposure were associated with child trauma exposure, and prenatal violence victimization was also associated with maternal severity ratings of traumatic exposures. Unintended pregnancy was not associated with child trauma exposure or severity. These findings expand our understanding of prenatal risk factors for trauma exposure in childhood and, specifically, highlight prenatal substance exposure and violence victimization as risk factors for subsequent exposure to trauma in early childhood. Results suggest that prenatal prevention and intervention programs should target reducing maternal substance use and in-utero exposure to violence.     

人类行为的刺激-心理活动-反应的数学公式

在一些简单情况下 ,人可由对刺激的主观体验和简单的心理加工 ,作出决定并产生反应。在假设简单心理加工的幂定律后 ,可以用一组数学公式 ,即文中的式 ( 1 ) ,( 2 ) ,( 3 ) ,( 4) ,来定量描述人类行为的刺激—心理活动—反应关系。     

Enhancing Interpretability in Factor Analysis by Means of Mathematical Optimization

Abstract

Exploratory Factor Analysis (EFA) is a widely used statistical technique to discover the structure of latent unobserved variables, called factors, from a set of observed variables. EFA exploits the property of rotation invariance of the factor model to enhance factors’ interpretability by building a sparse loading matrix. In this paper, we propose an optimization-based procedure to give meaning to the factors arising in EFA by means of an additional set of variables, called explanatory variables, which may include in particular the set of observed variables. A goodness-of-fit criterion is introduced which quantifies the quality of the interpretation given this way. Our methodology also exploits the rotational invariance of EFA to obtain the best orthogonal rotation of the factors, in terms of the goodness-of-fit, but making them match to some of the explanatory variables, thus going beyond traditional rotation methods. Therefore, our approach allows the analyst to interpret the factors not only in terms of the observed variables, but in terms of a broader set of variables. Our experimental results demonstrate how our approach enhances interpretability in EFA, first in an empirical dataset, concerning volumes of reservoirs in California, and second in a synthetic data example.     

Stable same‐sex friendships with higher achieving partners promote mathematical reasoning in lower achieving primary school children

This study was designed to investigate friend influence over mathematical reasoning in a sample of 374 children in 187 same‐sex friend dyads (184 girls in 92 friendships; 190 boys in 95 friendships). Participants completed surveys that measured mathematical reasoning in the 3rd grade (approximately 9 years old) and 1 year later in the 4th grade (approximately 10 years old). Analyses designed for dyadic data (i.e., longitudinal actor‐partner interdependence model) indicated that higher achieving friends influenced the mathematical reasoning of lower achieving friends, but not the reverse. Specifically, greater initial levels of mathematical reasoning among higher achieving partners in the 3rd grade predicted greater increases in mathematical reasoning from 3rd grade to 4th grade among lower achieving partners. These effects held after controlling for peer acceptance and rejection, task avoidance, interest in mathematics, maternal support for homework, parental education, length of the friendship, and friendship group norms on mathematical reasoning.