Cirino Paul T, Salentine Cassidy, Farrell Abby, Barnes Marcia A, Roberts Greg
University of Houston.
Vanderbilt University of Texas at Austin.
Learn Individ Differ. 2024 Jan;109. doi: 10.1016/j.lindif.2023.102400. Epub 2023 Dec 27.
Math and reading skills are known to be related, and predictors of each are well researched. What is less understood is the extent to which these predictors, uniquely and collectively, overlap with one another, are differentially important for different academic skills, and account for the overlap of math and reading. We examined 20 potential predictors from four domains (working memory, processing speed, attention, and language) using latent variables and both timed and untimed achievement skill, in a sample (N=212) of at-risk middle schoolers, half of whom were English learners. The predictors accounted for about half of the overlap among achievement skills, suggesting that other factors (e.g., domain specific skills) might also be relevant for the overlap. We also found some differential prediction (language for reading, working memory for math). The present results extend and refine our understanding of the contribution of these cognitive predictors for reading and math.
数学和阅读技能之间的关系已为人所知,并且对各自的预测因素也进行了充分研究。但人们对这些预测因素在多大程度上相互重叠、对不同学术技能的重要性是否存在差异以及如何解释数学和阅读之间的重叠了解较少。我们在一个有风险的中学生样本(N = 212)中,使用潜在变量以及定时和不定时的成就技能,研究了来自四个领域(工作记忆、处理速度、注意力和语言)的20个潜在预测因素,其中一半是英语学习者。这些预测因素约占成就技能重叠的一半,这表明其他因素(如特定领域技能)可能也与这种重叠有关。我们还发现了一些差异预测(语言对阅读、工作记忆对数学)。目前的结果扩展并完善了我们对这些认知预测因素对阅读和数学贡献的理解。