Aragón Estíbaliz, Navarro José I, Aguilar Manuel, Cerda Gamal, García-Sedeño Manuel
Department of Psychology, University of Cadiz, Puerto Real-Cadiz, Spain.
Department of Methodology of Research, University of Concepcion, Concepcion, Chile.
Scand J Psychol. 2016 Dec;57(6):489-494. doi: 10.1111/sjop.12317. Epub 2016 Aug 22.
Early math skills are determined by higher cognitive processes that are particularly important for acquiring and developing skills during a child's early education. Such processes could be a critical target for identifying students at risk for math learning difficulties. Few studies have considered the use of a structural equation method to rationalize these relations. Participating in this study were 207 preschool students ages 59 to 72 months, 108 boys and 99 girls. Performance with respect to early math skills, early literacy, general intelligence, working memory, and short-term memory was assessed. A structural equation model explaining 64.3% of the variance in early math skills was applied. Early literacy exhibited the highest statistical significance (β = 0.443, p < 0.05), followed by intelligence (β = 0.286, p < 0.05), working memory (β = 0.220, p < 0.05), and short-term memory (β = 0.213, p < 0.05). Correlations between the independent variables were also significant (p < 0.05). According to the results, cognitive variables should be included in remedial intervention programs.
早期数学技能由更高层次的认知过程决定,这些过程对于儿童早期教育期间技能的习得和发展尤为重要。此类过程可能是识别有数学学习困难风险学生的关键目标。很少有研究考虑使用结构方程方法来梳理这些关系。参与本研究的是207名年龄在59至72个月的学龄前儿童,其中108名男孩,99名女孩。对早期数学技能、早期读写能力、一般智力、工作记忆和短期记忆方面的表现进行了评估。应用了一个解释早期数学技能方差64.3%的结构方程模型。早期读写能力显示出最高的统计学显著性(β = 0.443,p < 0.05),其次是智力(β = 0.286,p < 0.05)、工作记忆(β = 0.220,p < 0.05)和短期记忆(β = 0.213,p < 0.05)。自变量之间的相关性也很显著(p < 0.05)。根据研究结果,认知变量应纳入补救干预计划。